Data Engineer Salary in North Carolina, USA

RESPONSIBILITIES:Kforce has a client in Mooresville, NC that is seeking a Senior Data Engineer.Responsibilities: Translates complex cross-functional business requirements and functional specifications into logical program designs, code modules, stable application systems, and data solutions Partners with Product Team to understand business needs and functional specifications Collaborates with cross-functional teams to ensure specifications are converted into flexible, scalable, and maintainable solution designs Evaluates project deliverables to ensure they meet specifications and architectural standards Executes the development, maintenance, and enhancements of data ingestion solutions of varying complexity levels across various data sources like DBMS, File systems (structured and unstructured), APIs and Streaming on on-prem and cloud infrastructure Builds, tests and enhances data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity Supports the development of feature / inputs for the data models in an Agile manner; Hosts Model Via Rest APIs Ensures non-functional requirements such as logging, authentication, error capturing, and concurrency management are accounted for when model hosting Responsible for the development, maintenance, and enhancements of BI solutions of varying complexity levels across different data sources like DBMS, File systems (structured and unstructured) on-prem and cloud infrastructure Creates level metrics and other complex metrics; use custom groups, consolidations, drilling, and complex filters Uses freeform SQLs and pass-through functions Analyzes and finds errors from SQL generation; creates RSD and dashboardREQUIREMENTS: Bachelor's degree in Engineering /Computer Science, CIS, or related field (or equivalent work experience in a related field) 5 years of experience in Data or BI Engineering, Data Warehousing/ETL, or Software Engineering 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) Demonstrates strong acumen in Data Ingestion toolsets and nurtures and grows junior members in this capability Demonstrates database skill (Teradata/Oracle/Db2/Hadoop) by writing views for business requirements Agile Development experience Experience with Big Data Management and Analytics Cloud Computing experience Experience with Database Design (Physical) Release Management experience The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Experience Level: Experienced HireCategories:Engineering & TechnologyLocation(s):1414 S Tryon Street, 7th Floor, The Railyard Floors 5-8, Charlotte, North Carolina, 28203, USAt Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.About the Department: Technology Services Group - Digital Workplace Services - Endpoint EngineeringAbout the Role:We are seeking a motivated and detail-oriented Associate Data Engineer to join our Digital Workplace Services Endpoint Engineering team. The ideal candidate will have foundational knowledge in SQL, Python, and Power BI, with a strong interest in data modeling, processing, and analysis. You will support the team in architecting and deploying data models and processes, ensuring data quality and accuracy, and interfacing with cross-functional teams.Key Responsibilities:- Assist in architecting, implementing, and deploying data models and processes in production environments.- Perform data analysis to generate business insights.- Interface with Engineers, Product Managers, and Product Analysts to gather requirements and provide support.- Help manage Data Warehouse plans and process large datasets with strong data modeling skills.- Translate data requirements into data pipeline development with guidance from senior team members.- Gain proficiency in SQL, Data Model Design, ETL/ELT, and data analysis.- Prepare data and create data models for use in Power BI under supervision.- Work with varied data infrastructures including relational databases, data lakes, Spark, and column stores.- Understand Data Engineering tools, frameworks, and standards.- Adopt and apply Infrastructure as Code (IaC) practices.-Design, develop and maintain pipelines using Azure tools such as Synapse, Azure Machine Learning, ADF, and Microsoft Fabric.- Ensure data accuracy and quality while querying from relational databases, data lakes, and data warehouses with oversight.- Apply basic knowledge of Python libraries (Numpy, Pandas) for data processing and visualization.- Utilize Agile methodologies (Jira/Confluence) under supervision.- Use Git/Azure DevOps for CI/CD activities- Assist in creating and maintaining technical and process documentation.- Experience working with Generative AI tools (OpenAI, Llama2).- Develop strong troubleshooting, analytical, and problem-solving skills.Behavioral / Professional Skills:- Be curious and eager to learn modern technologies.- Demonstrate tech-savviness with an ability to quickly implement and utilize new tools.- Show fearlessness by not shying away from big ideas.- Exhibit digital dexterity to utilize digital workplace technologies effectively.- Take a pragmatic and detail-oriented approach to work.- Influence others to gain agreement and support for ideas and initiatives.- Have a business-results orientation, understanding business needs, and anticipating, identifying, and meeting end-user needs.Qualifications:- Bachelor's or master's degree in related field. - Advanced proficiency in SQL.-1+ year experience working with Python and Power BI.- Experience with the Azure cloud platform; Azure certification is a plus.- Intermediate knowledge of scripting with PowerShell or Bash.- Knowledge of programming languages are a plus.- Basic understanding of Azure Synapse Analytics and Azure Data Factory (ADF) / Microsoft Fabric- Experience working in an agile environment. For US-based roles only: the anticipated hiring base salary range for this position is $78,000 - $113,100, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody's also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [email protected]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNetPlease note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee's tenure with Moody's.Moody's Corporation is a Government contractor subject to the Vietnam Era Veterans' Readjustment Assistance Act of 1974, as amended by the Jobs for Veterans Act of 2002, 38 U.S.C. 4212 (VEVRAA), which requires Government contractors to take affirmative action to employ and advance in employment: (1) disabled veterans; (2) recently separated veterans; (3) active duty wartime or campaign badge veterans; and (4) Armed Forces service medal veterans.VEVRAA Federal ContractorWe Request Priority Protected Veteran and Disabled Referrals for all of our locationsPlease contact Donna Hutchinson, Assistant Vice President, Talent Attraction for any questions regarding this listing.PDN-9c380349-9b6c-4631-abc7-2de363b4aefb

Infosys is seeking an AWS Data Engineer with strong background in designing and building machine learning models / algorithms to implement predictive & prescriptive analytical solutions in Insurance and Healthcare domains. The ideal candidate will be able to look at data from multiple sources and integrate data/inputs in a manner to build cause effect linkages to arrive at key issues. Ideally the candidate uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution.Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.At least 4 years of experience in Information Technology.Candidate must live within commuting distance of Raleigh, NC or be willing to relocate. Travel within the US may be required.U.S. citizens and those authorized to work in the U.S. are encouraged to apply.Experience designing and implementing data pipelines using AWS Services for data cleaning, transformation, and loading into S3Atleast 3 years of experience in Python data wrangling/analysis using Pandas, SciKit, Numpy, Matplotlib, seaborn etc.Knowledge of implementation and deployment of analytics solutions at client architectureExperience performing Data Wrangling and Exploratory Data Analysis on required data and metricsDevelop, Test, Deploy and Monitor ML ModelsAbility to suggest Analytics algorithms to use based on business situation mindful of fundamental assumptions in the algorithms.Experience working with other data scientists as a team to understand algorithms suggested and provide QA in algorithm choice from a business perspective. Preferred Qualifications: Demonstrated experience in Data Engineering / Data science / AnalyticsGood understanding of version control tools like git & Experience building CI/ CD pipelines.Model deployment experienceExcellent business communication and excellent relationship management ability and the ability to work across business units within complex organizationThe job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.About UsInfosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in leading the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver outstanding levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.To learn more about Infosys and see our perspectives in action please visit us at www.Infosys.com

Infosys is seeking an Azure Data Engineer with strong background in designing and building machine learning models / algorithms to implement predictive & prescriptive analytical solutions in Insurance and Healthcare domains. The ideal candidate will be able to look at data from multiple sources and integrate data/inputs in a manner to build cause effect linkages to arrive at key issues. Ideally the candidate uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution.Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.At least 4 years of experience in Information Technology.Candidate must live within commuting distance of Raleigh, NC or be willing to relocate. Travel within the US may be required.U.S. citizens and those authorized to work in the U.S. are encouraged to apply.Hands on experience in using Azure Data Factory (ADF) to orchestrate data ingestion from various sources into Azure Data Lake Storage (ADLS) for creating analytical data pipelinesExperience designing and implementing data pipelines using Azure Databricks for data cleaning, transformation, and loading into Azure Synapse AnalyticsAtleast 3 years of experience in Python data wrangling/analysis using Pandas, SciKit, Numpy, Matplotlib, seaborn etc.Knowledge of implementation and deployment of analytics solutions at client architectureExperience performing Data Wrangling and Exploratory Data Analysis on required data and metricsDevelop, Test, Deploy and Monitor ML ModelsAbility to suggest Analytics algorithms to use based on business situation mindful of fundamental assumptions in the algorithms.Experience working with other data scientists as a team to understand algorithms suggested and provide QA in algorithm choice from a business perspective. Preferred Qualifications: Demonstrated experience in Data Engineering / Data science / AnalyticsGood understanding of version control tools like git & Experience building CI/ CD pipelines.Model deployment experienceExcellent business communication and excellent relationship management ability and the ability to work across business units within complex organizationThe job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.About UsInfosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in leading the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver outstanding levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.To learn more about Infosys and see our perspectives in action please visit us at www.Infosys.com

Position Title: Data Engineer | AWSDate: Jun 11, 2024Location: Charlotte, NC, US, 28210Company: Popular BankNearest Major Market: Charlotte Job Segment: Data Conversion, Statistics, Data Management, Data PI242194384

Location: Charlotte, NC, USAReq Number: Req #72Date Posted: Tuesday, June 11, 2024Discovery Education is looking for a Data Analytics Engineer to join our team to support various areas of the business such as product analytics, product marketing, and customer support and operations. This role will support data-based decision making by modeling data from the data warehouse and cloud storage to support the development of insights for the business teams. The Analytics Engineer will become a specialist in our modern data stack, including Snowflake, dbt, Looker, and Hightouch. This role will sit in our Charlotte Headquarters with a hybrid schedule. About the RoleWork collaboratively with data engineers and data scientists to drive business value through turning data models into actionable insights for business stakeholders. Provide clean, transformed data ready for analysis. Apply engineering best practices to analytics code. Maintain data documentation and definitions. Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models. Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. Ability to use Snowflake, dbt, Looker, and git. Ability to thrive and work with remote colleagues. Positive and solution-oriented mindset. RequirementsA minimum of 2-3 years’ experience as an analyst, engineer, data scientist or equivalent. 2+ years working with product and customer data. Demonstrated ability to learn new systems quickly and master data integrity among multiple systems.3+ years using SQL. Experience analyzing data with R or Python or other similar tools a plus.Experience working with data warehouses, data transformation tools, and writing technical documentation for your work. Experience using Snowflake and dbt a plus. Work collaboratively with the data management team; experience with API integrations a plus Experience working with large data volumes (millions of daily events). Must have strong interpersonal skills – collaboration across multiple business and technology. functions, relationship building and consensus building are a must.Must be able to work on and prioritize multiple tasks while working well under pressure.Legal right to work in the United States.BenefitsWe are proud to offer employees and their families a comprehensive benefits package:Medical-Dental-VisionHealth Care Dependent CareShort & Long Term DisabilitySummer HoursLife Insurance401(k)FSA/HSAPaid Time OffVolunteer TimeEmployee Assistance Program7 Paid Holidays + Annual Winter Holiday Break (Typically the last week of December)Discovery Education is an equal opportunity employer. Discovery Education is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information.Other detailsPay Type SalaryPI242196454

Position Title: Data Engineer | SnowflakeDate: Jun 12, 2024Location: Charlotte, NC, US, 28210Company: Popular BankNearest Major Market: Charlotte Job Segment: Statistics, Data Analyst, Data Modeler, Data Architect, Data PI242239197

RESPONSIBILITIES:Kforce has a client that is seeking a Senior Data Engineer in Mooresville, NC.Responsibilities: Translates complex cross-functional business requirements and functional specifications into logical program designs, code modules, stable application systems, and data solutions; Partners with Product Team to understand business needs and functional specifications Coordinates, executes, and participates in component integration (CIT) scenarios, systems integration testing (SIT), and user acceptance testing (UAT) to identify application errors and to ensure quality software deployment Participates in all software development end-to-end product lifecycle phases by applying and sharing an in-depth understanding of complex industry methodologies, policies, standards, and controls Executes the development, maintenance, and enhancements of data ingestion solutions of varying complexity levels across various data sources like DBMS, File systems (structured and unstructured), APIs and Streaming on on-prem and cloud infrastructure; Demonstrates strong acumen in Data Ingestion toolsets and nurtures and grows junior members in this capability Supports the development of feature/inputs for the data models in an Agile manner; Hosts Model Via Rest APIs; Ensures non-functional requirements such as logging, authentication, error capturing, and concurrency management are accounted for when model hosting Responsible for the development, maintenance, and enhancements of BI solutions of varying complexity levels across different data sources like DBMS, File systems (structured and unstructured) on-prem and cloud infrastructure; Creates level metrics and other complex metrics; Use custom groups, consolidations, drilling, and complex filters Responsible for building, testing and enhancement of BI solutions from a wide variety of sources like Teradata, Hive, HBase, Google Big Query and File systems; Develops solutions with optimized data performance and data securityREQUIREMENTS: Bachelor's degree in Engineering/Computer Science, CIS, or related field (or equivalent work experience in a related field) 5 years of experience in Data or BI Engineering, Data Warehousing/ETL, or Software Engineering 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)Technical Competencies: Agile Development Big Data Management and Analytics Cloud Computing Database Design (Physical) Release ManagementSkill set: Apache Spark Scala Python Airflow PySpark GCP Exposure ( DataProc, GCS, BigQuery) The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

RESPONSIBILITIES:Kforce has a client that is seeking a Senior Data Engineer in Mooresville, NC.Responsibilities: Translates complex cross-functional business requirements and functional specifications into logical program designs, code modules, stable application systems, and data solutions; Partners with Product Team to understand business needs and functional specifications Coordinates, executes, and participates in component integration (CIT) scenarios, systems integration testing (SIT), and user acceptance testing (UAT) to identify application errors and to ensure quality software deployment Executes the development, maintenance, and enhancements of data ingestion solutions of varying complexity levels across various data sources like DBMS, File systems (structured and unstructured), APIs and Streaming on on-prem and cloud infrastructure; Demonstrates strong acumen in Data Ingestion toolsets and nurtures and grows junior members in this capability Builds, tests, and enhances data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs, and streaming systems for various KPIs and metrics development with high data quality and integrity Responsible for the development, maintenance, and enhancements of BI solutions of varying complexity levels across different data sources like DBMS, File systems (structured and unstructured) on-prem and cloud infrastructure; Creates level metrics and other complex metrics; Use custom groups, consolidations, drilling, and complex filters Demonstrates database skill (Teradata/Oracle/Db2/Hadoop) by writing views for business requirements; Uses freeform SQLs and pass-through functions; Analyzes and finds errors from SQL generation; Creates RSD and dashboard Responsible for building, testing and enhancement of BI solutions from a wide variety of sources like Teradata, Hive, HBase, Google Big Query and File systems; Develops solutions with optimized data performance and data securityREQUIREMENTS: Bachelor's degree in Engineering /Computer Science, CIS, or related field (or equivalent work experience in a related field) 5 years of experience in Data or BI Engineering, Data Warehousing/ETL, or Software Engineering 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)Technical Competencies: Agile Development Big Data Management and Analytics Cloud Computing Database Design (Physical) Release ManagementSkill set: Apache Spark Scala Python Airflow PySpark GCP Exposure (DataProc, GCS, BigQuery) The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Date Posted:2024-05-02Country:United States of AmericaLocation:PW715: Asheville Site W Asheville Greenfield Site TBD , Asheville, NC, 28803 USAPosition Role Type:OnsitePratt & Whitney is working to once again transform the future of flight-designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we're seeking the people to drive it. So, calling all curious. Come ready to explore and you'll find a place where your talent takes flight-beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we'll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that's evolving fast to the future. Innovation through diversity of thought. At Pratt & Whitney, we believe diversity of thought enables creativity, innovation, and a foundation for inclusion. By fostering an inclusive culture, we accept a shared accountability and responsibility to recognize, sponsor, coach, hire and promote talent equally. We welcome our employees to be their whole - best - selves at work because trust, respect and integrity, are a part of our DNA.At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?What You Will Do:The Automation Engineer is responsible for helping establish a formal system within the Pratt & Whitney manufacturing site located in Asheville, NC to deliver measurable manufacturing results through formal strategy formulation and execution of robotics and automation.Support new product development automation needs.Contribute to develop and execute manufacturing methods and identify optimization opportunities.Work closely with manufacturing/quality engineering to reform processes and data acquisition. Help establish/enforce site standards and specifications of controls, robotics and automation.Ethernet networking. Facilities management. System layouts. Robot Interfaces. Hardwired components design and debug.Standard engineering procedures and documentation. PLC code standardization. Software Defined Network (SDN) requirements and standardization.Firewall rule implementation. Data driver creation and maintenance.Performance board and HMI screen standardizationThis is a 3rd shift position.Qualifications You Must Have:Bachelors Degree or equivalent experience and minimum 5 years prior relevant experience, or An Advanced Degree in a related field and minimum 3 years experience.U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.Qualifications We Value:AutoCAD, Studio 5000 Logix designer, Factory Talk, RS Networks and MS Office Suite, Ignition.Experience with controls hardware design utilizing a broad range of components and architectures.Experience troubleshooting different component manufactures and applications.Experience with evaluation and implementation of controls standards.Experience with system software / PLC code development, HMI screen development.What is my role type?In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment. This role is:Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines. Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility.The salary range for this role is 77,000 USD - 163,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.Privacy Policy and Terms:Click on this link to read the Policy and Terms