Job Details

PowerApps Developer / Data Engineer - (Hybrid)

  2026-04-18     FINEZI     Oakland,CA  
Description:

TOP THINGS:

candidate with Power App skills, and demonstrated work with customers/ front facing

With prior PG&E Manager approval, may expense for Mileage and travel reimbursements

• Expertise in building, customizing, and maintaining PowerApps solutions.

• Comprehensive understanding of Dataverse, including schema design, security, and integration capabilities.

• Experience with backend Power Platform technologies, particularly in designing and implementing data integrations.

• Ability to work with Fabric and PG&E systems to establish robust and secure data flow across platforms.

• Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed.

• Partners with various departments to understand and incorporate standards information and requirements into work procedures.

• Deploys machine learning algorithms in production environments.

• Resolves application programming analysis problems of moderate to complex scope within procedural guidelines. May seek assistance from the supervisor or more skilled programmers/analysts on unusual or especially complex problems that cross multiple functional/technology areas.

• Works on complex data and analytics-centric problems having moderate impact that require in-depth analysis and judgment to obtain results or solutions

• Plans work to meet assigned general objectives; progress is reviewed upon completion and solutions may provide an opportunity for creative/non-standard approaches.

• Communicates (oral and written) recommendations.

• Mentors/provides guidance to less experienced colleagues.

EDUCATION MINIMUM

• BA/BS in Computer Science, Management Information Systems or related field of study, or equivalent experience.

SKILLS MINIMUM

• 5 years of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE.

• Experience with machine learning algorithm deployment.

• Business Intelligence and data access tool knowledge.

• Knowledge of software engineering principals such as unit testing, CI/CD, source control.


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