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# Expert Data Engineer

- **Company:** PG&E Corporation
- **Location:** Concord, CA, United States
- **Experience:** Expert
- **Salary:** $133,000.0 - $238,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Applications Architecture, Application Layers, Data as a Services, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Applications, Iterative and Incremental Development, Machine Learning, Oracle Business Intelligence Enterprise Edition, Operational Data Store, Rapid Prototyping Process, Svelte, SAP (Applications), Software Engineering, Cloud Platform System, ReactJS, Backend, Containerization, Information Technology, Data Lineage, Front End Software Development, Data Pipelines, Docker
- **Published:** May 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7ba8584623b52da3

## About the Role

Do you have experience in Machine learning (ML) fundamentals?, Do you have a Master's degree?, Minimum: Bachelors Degree in Computer Science or job-related discipline or equivalent experience Experience with data engineering/ETL ecosystems (e.g., Informatica, SAP BODS, OBIEE), 7 yrs Experience with multiple data engineering/ETL ecosystems Experience with machine learning algorithm deployment
Desired: Masters Degree in Computer Science or job-related discipline or equivalent experience Leadership experience, development teams Experience building end-to-end, data-driven applications, including integration between backend data systems and modern front-end frameworks Strong proficiency in front-end development (e.g., Svelte, React, or similar) with an emphasis on building intuitive, data-centric user interfaces Experience designing and implementing API layers/services to expose data products for application consumption Hands-on experience with workflow orchestration tools (e.g., Apache Airflow) for building and managing automated data pipelines Experience developing and deploying containerized applications (e.g., Docker) in cloud environments Strong working knowledge of cloud platforms (AWS preferred), including building and iterating on scalable data and application architectures Experience with rapid prototyping and iterative development, including the ability to
quickly translate concepts into functional proof-of-concept applications Demonstrated ability to design dimensional data models (fact and dimension tables) to support both analytics and application use cases Experience working across the full stack, including backend data services and frontend application layers Ability to balance speed and architectural soundness when developing new data products and applications Experience supporting or developing solutions using utility or operational data systems (e.g., asset, outage, or telemetry data) preferred Demonstrated ability to bridge data engineering and application development, enabling data to be leveraged effectively in operational or decision-support tools

## Description

Designs, develops, modifies, configures, debugs and evaluates jobs for extracting data from various sources, implements transformation logic, and stores data in various formats fit for use by stakeholders. Collects metadata about jobs including data lineage and transformation logic. Works with teams, clients, data owners and leadership throughout the development cycle practicing continuous improvement.


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