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Data Engineer

Spectraforce Technologies
United States, California, Dublin
Jul 23, 2026
Data Engineer

12 months

Dublin, CA (Hybrid 1-2 days onsite per week)

Local candidates only.

The role is hybrid with 1-2 days per week in office (sometimes 0)


TOP THINGS:

  • Experience with data engineering / modeling, interpersonal skills and the ability to explain technical issues to non-technical people, Snowflake / Fabric experience


EQUIPMENT: Client laptop will be provided. In case of delay, a vendor-provided or personal laptop that can connect to Citrix/VDI may be used in the interim. All other equipment must be provided by the vendor or may use their personal 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 Snowflake and Microsoft Fabric 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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