New

Data Engineer

Spectraforce Technologies
United States, California, Oakland
Apr 17, 2026
Data Engineer 10 Months Oakland, CA (Hybrid - once to twice a month between San Ramon and Oakland) *LOCAL CANDIDATES STRONGLY PREFERRED. Otherwise, candidates within state of CA* With prior Manager approval, may expense for Mileage and travel reimbursements Top Things: Candidate with Power App skills, and demonstrated work with customers/ front facing Responsibilities: 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.