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Data Engineer Salary in California, USA

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Data Engineer Salary in California, USA

11 760 $ Average monthly salary

Average salary in the last 12 months: "Data Engineer in California"

Currency: USD Year: 2024
The bar chart shows the change in the level of average salary of the profession Data Engineer in California.

Distribution of vacancy "Data Engineer" by regions California

Currency: USD
As you can see on the diagramm in California the most numerous number of vacancies of Data Engineer Job are opened in Sunnyvale. In the second place is San Jose, In the third is San Diego.

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Data Engineer (Tableau)
The Judge Group Inc., Los Angeles
Location: REMOTESalary: $100,000.00 USD Annually - $120,000.00 USD AnnuallyDescription: Our client is currently seeking a Data Engineer (Tableau)The Data Engineer you will be responsible for driving and navigating the analytics product life cycle. The ideal candidate will lead in expanding our analytics products while optimizing our data architecture, and developing best practices and governance for administrative reporting, data visualization, and data flow for cross-functional teams.You will support various stakeholders and ensure consistent optimal product delivery throughout ongoing projects. You will also support non-technical colleagues in collecting and appropriately using administrative data. We would like an individual that is excited about re-designing CHOP's data architecture to support our next generation of products and data initiatives.If interested in applying or more information email [email protected] This job will have the following responsibilities:Conduct data modeling by evaluating structured and unstructured data and determining the most appropriate schema for new fact tables, data marts, etc. Collaborate with teams across the enterprise to scope requests, extract data from various data sources, validate results, create relevant data visualizations, and share with the requester in Tableau. Create dashboards and automate refreshes as appropriate in Tableau Server. Adhere to and contribute to data governance standards and educate and support colleagues in best practices to ensure that data is used appropriately. Collaborate and act as the voice of the customer to offer concrete feedback and project requests as well as an advocate for analytics from within the business units themselves. Assemble large, complex data sets that meet functional/non-functional business requirements. Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.Construct the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources (including ground, hybrid cloud, and cloud) using SQL and various programming technologies. Develop analytics tools that utilize data resources to provide actionable insights, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Administrative, and Analyst teams to assist with data-related technical issues and support their data infrastructure needs. Qualifications & Requirements: 5 years of experience in Data Engineering, Business Intelligence, or Data Warehousing Healthcare consulting experience is a plusBachelor's degree in computer/Analytics/Data Science related field. Proficiency in appropriate Business Intelligence/Data Warehousing technology or subject domain. 3-6 years of Business Intelligence/Data Warehousing experience, preferably in a healthcare & research environment. Preferred Qualifications: Tableau certification and a strong portfolio on Tableau Public Experience with other data visualization tools like Power BI, QlikView, or Domo Knowledge of ETL processes and tools such as Informatica or Talend Contact: [email protected] job and many more are available through The Judge Group. Find us on the web at www.judge.com
Data Engineer
Proliance Consulting, Los Angeles
Data EngineerLength: until 10/31/24 (strong possibility of extension or conversion)Associate Vendors: We are accepting applications from candidates who are currently authorized to work in the US for any employer without sponsorship.Role & Responsibilities• Build complex data engineering pipelines using Python and Airflow to hydrate datamarts in Snowflake and Data Lake in AWS Cloud.• Quick thinking in troubleshooting production scale data pipelines and analytical thinking in identifying data issues.• Integrate code with defined CI/CD framework and AWS services required for building secure data pipelines.• Work in an agile software development team to complete backlog items, working in conjunction with other developers and other data engineers & architects.• Test and create automated tests for your code, ensuring every function, service, and object is compatible with your team's work and with the many systems within the NBCUniversal system portfolio.• Act alongside other senior data engineers, help formulate best practices and setting up toolsets and procedures for the team, leveraging internally available tools and communicating with other internal development & product teams.• Stay up-to-date on new development and platform technologies, make recommendations for the right tool for the job, and take the lead in setting up those tools and training other developers on them.• Communicate with business partners to understand the needs of the user, and implement those ideas in the code.• Create documentation for developers as well as business users to help them understand your products.• Maintain cloud-based platforms and environments of supported applications, troubleshooting and patching functional issues and data issues in lower or production environments when necessary.• Perform other duties as assigned.Required Qualifications• Minimum 7 years of related experience in data engineering• Strong understanding of Datawarehousing concepts• Proficient in Python for building UDFs and pre-processing scripts• Proficient in sourcing data from APIs and cloud storage systems• Proficient in SQL with analytical thought process• Experience working on Airflow orchestration• Must have experience working on any of the cloud platforms - AWS would be preferred• Experience with CI/CD tools in a python tech stack• Competent working in secured internal network environments• Experience working in story and task-tracking tools for agile workflows• Motivated and Self-Starting: able to think critically about problems, decipher user preferences versus hard requirements, and effectively use online and onsite resources to find an appropriate solution with little intervention• Passionate about writing clear, maintainable code that will be used and modified by others, and able to use and modify other developers' work rather than recreate itDesired Qualifications• Snowflake (strong nice to have!)• Bachelor's Degree in related field
Data Engineer - ETL and Power BI
The Judge Group Inc., Los Angeles
Location: REMOTESalary: $100,000.00 USD Annually - $125,000.00 USD AnnuallyDescription: Our client is currently seeking a Data Engineer - ETL and Power BI Bachelor's degree in a quantitative discipline such as Computer Science, MIS or related field with 5 years of related experience.Related Experience includes but is not limited to: development and tuning on RDBMS technology including Oracle, SQL Server, Teradata or SingleStore.Willingness to undertake assignments involving unfamiliar subjects and demonstrate aptitude to learn quickly.Excel at communicating complex ideas and concepts both verbally and through writingExperience in Agile/Scrum development with DevOps methodologies geared toward rapid prototyping and piloting of cloud solutionsPrefer 2-3 years of knowledge and experience in the development and tuning of ETL processes using PowerCenter, Informatica Data Replication (IDR), webMethods or other comparable toolsExperience in creating, analyzing and documenting ER and Dimensional models. Prefer ERWIN experience.Unix/Linux experience is preferred. Data Engineers maintain Unix files, commands, and scripts, which requires an understanding of Unix operating system concepts.Prefer 2-3 years of experience in using the Kimball methodology to design and develop Enterprise Data Warehouses and Data MartsExperience in designing and/or developing Analytics applications using tools such as Power BI, QlikView, SAS, RapidMiner or other comparable products.Willingness to travel throughout organization and service territory and work extended hours, as requiredContact: [email protected] job and many more are available through The Judge Group. Find us on the web at www.judge.com
Sr GCP Data Engineer
Maxonic, Pleasanton
Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for a Sr GCP Data EngineerJob Description:Job Title: Sr GCP Data Engineer Job Location: Pleasanton, CA (Local Only)Work Schedule: Hybrid (2-3 days in office ) Pay Rate: $75-78/hr C2C, $60-65/hr W2Responsibilities:Data migration and data processing experience on the Google Cloud stack, specifically: BigQuery, Cloud DataFlow, Cloud DataProc, Cloud Storage, Cloud DataPrep, Cloud PubSub, Cloud Composer, Cloud BigTable, DEV Ops, Github.About Maxonic:Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.Interested in Applying?Please apply with your most current resume. Feel free to contact Shubham ([email protected] / (510) 955-1056 ) for more details
Data Engineer Level 3
The Judge Group Inc., Los Angeles
Location: REMOTESalary: $70.00 USD Hourly - $75.00 USD HourlyDescription: Title: Data Engineer Level 3 Location: Remote Duration: 6 Months contractJob DescriptionPosition Overview As a Data Engineer, you will play a pivotal role in developing and delivering technological solutions aligned with targeted business outcomes. Your focus will be on data architecture and information delivery, treating data as a valuable enterprise asset. You'll adhere to reusable standards, design patterns, and guidelines to ensure streamlined integration and operational efficiency. Collaboration with cross-functional teams, including direct engagement, will be essential. Demonstrating our core values of respect, honesty, integrity, diversity, inclusion, and safety is paramount.Additional Details Top 3 Technical Skills: Databricks, PySpark, Delta Live Tables, Delta Sharing. Soft Skills: Excellent communication. Project Focus: Data Integration Modernization. Team Details: 12-member Agile hybrid team. Work Location: Remote. Travel Requirement: None. Working Hours: 40 hours per week.Key Responsibilities Data Solutions and Integration: Utilize enterprise standards for data domains and solutions. Streamline operational and analytical use of data. Ensure clarity between ongoing projects, escalating issues when necessary. Collaborate directly on data initiatives. Innovative Technologies and Transformation: Leverage cutting-edge technologies to enhance existing data assets. Renovate, extend, and transform core data platforms. Address gaps between current and future states through high-level migration plans. Architectural Decision-Making: Contribute to cost/benefit analysis for leadership. Detect critical deficiencies in technology environments. Recommend solutions for improvement. Data Asset Reuse and Documentation: Promote the reuse of data assets. Manage the data catalog for reference. Draft architectural diagrams and interface specifications.Qualifications Required: 4+ years of Python experience. Strong SQL skills, including querying with extensive join conditions and conditional updates. DevOps proficiency (Linux, GitHub, Bash). Experience with CI/CD lifecycles. Unit, integration, and regression testing expertise. Familiarity with static code analysis tools, Linters, and adherence to PEP 8 standards. Exposure to Microsoft Azure and/or Google Cloud Platform. Agile SCRUM project experience. Highly Desired: Data Management expertise (Databricks, PySpark, Spark Structured Streaming, Delta Live Tables, Delta Sharing). Expert knowledge of SQL. Familiarity with Streaming Technologies (Apache Kafka, Azure EventHubs, Avro). DevOps skills (GitHub Actions, Terraform, Artifactory). Desired: Knowledge of Java, SpringBoot, Kubernetes, Docker, and NoSQL databases. Contact: [email protected] job and many more are available through The Judge Group. Find us on the web at www.judge.com
Senior Data Engineer
LatentView Analytics, San Jose
Hiring Mode: Full-time with LatentView AnalyticsStart Date: ASAPExperience: 5 to 10 yearsLocation: San Jose, California, USANote: C2C or C2H is not an option.Job Description:We are seeking a skilled and experienced Data Engineer to join our dynamic team. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining data pipelines and systems that enable efficient data processing and analysis. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions. The ideal candidate will have expertise in project management, client management, SQL, Azure services, ETL pipelines, data validation, and a passion for leveraging data to drive business insights.Responsibilities:Management: Lead data engineering projects from inception to completion, ensuring timely delivery and alignment with business objectives. Coordinate with stakeholders to gather requirements, define project scope, and manage resources effectively.Management: Serve as the primary point of contact for clients, understanding their data needs, and providing technical guidance and support. Build and maintain strong client relationships through effective communication and responsiveness.Expertise: Design and optimize complex SQL queries for data extraction, transformation, and loading (ETL). Perform advanced data manipulation and analysis to derive actionable insights from large datasets.Knowledge: Demonstrate proficiency in Azure cloud services, including Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Storage. Architect and implement scalable data solutions on the Azure platform, adhering to best practices and security standards.Pipelines: Develop robust ETL pipelines to automate data ingestion, cleansing, and transformation processes. Implement data integration solutions to facilitate seamless data flow across various systems and applications.Validation: Design and implement data validation strategies to ensure data accuracy, consistency, and integrity. Develop data quality checks and monitoring mechanisms to proactively identify and resolve data issues.Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights. Work closely with cross-functional teams to integrate data solutions into business processes and applications.