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Data Engineer

Spectraforce Technologies
United States, California, Oakland
Apr 02, 2026
Data Engineer

Oakland, CA 94612

12 Months

Responsibilities

  • Work closely with Subject Matter Experts (SMEs) to design and develop the ontology (data model) and data pipelines.
  • Design, implement, and maintain robust data pipelines and ETL processes.
  • Develop and optimize cloud-based data storage and processing solutions.
  • Collaborate with data analysts and data scientists to understand data requirements and deliver high-quality data solutions.
  • Ensure data integrity and security across all data workflows and storage solutions.
  • Monitor and troubleshoot data pipelines, addressing any issues promptly to ensure the smooth flow of data.
  • End to End data pipeline development - responsible for using Python and Pyspark to perform ETL and derive new datasets necessary for business applications.


Minimum Qualifications

  • Bachelor's Degree in Computer Science, Engineering, or related field or related experience.
  • 5+ years of experience as a data engineer.
  • Hands-on experience with building data pipelines
  • Strong SQL skills and experience working with large datasets and complex data structures.
  • Proficient in Python, and Pyspark
  • Experience in Typescript (preferred) or Javascript
  • Excellent problem-solving and analytical skills with a strong attention to detail.


Preferred Qualifications

  • Experience with Palantir Foundry application development and data visualization tools
  • Knowledge with commercial visualization tools such as Tableau or Power BI.
  • Experience in Typescript (preferred) or Javascript
  • Databases - familiarity with common relational database models and proprietary instantiations, such as SAP, Salesforce etc.
  • Git - knowledge of version control / collaboration workflows and best practices
  • Agile - familiarity with agile and iterative working methodology and rapid user feedback gathering concepts
  • UX design - knowledge of best practices and applications

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