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Data Engineer
HarnhamSunnyvale, CA, United States30+ days ago
Job type
- Full-time
Job description4+ years of professional experience as a Data Engineer Proven experience working with AWS , Python , and either Snowflake or Databricks Strong experience with ETL pipeline design and implementation Background in handling large-scale (petabyte-level) datasets Experience working with unstructured data (credit file data experience is a plus) Solid understanding of SOC2 and data compliance standards Experience in a fintech or credit analytics organization is required Hands-on experience with Github for version control and collaboration Demonstrated ability to build data systems and pipelines from scratch in greenfield environments Competitive compensation package including bonus eligibility Hybrid work schedule (3 days in-office) Comprehensive health, dental, and vision insurance 401(k) with company match Generous PTO and paid holidays Opportunity to work at scale in a highly data-driven organization
Title : Data Engineer - Fintech Exp Required
Schedule : Hybrid – 3 days / week onsite (Tuesday, Wednesday, Thursday)
Location : Financial District of SF
Company / Role Overview :
Our client is a leading company in the consumer credit industry , leveraging deep data insights to drive smarter, more accessible financial solutions for millions of customers. As they expand data capabilities, we’re seeking an experienced Data Engineer to join our team in a greenfield role —a high-impact opportunity to build systems, pipelines, and infrastructure from the ground up.
Responsibilities :
- Design, develop, and maintain data pipelines for ingestion, transformation, and storage at petabyte scale
- Architect systems to handle unstructured and semi-structured data , including credit file data
- Work with cloud technologies (AWS) to support data storage, streaming, and compute needs
- Implement and manage data infrastructure and systems for analytics and credit decisioning
- Ensure compliance with SOC2 and other relevant data handling standards
- Collaborate across teams to define the best direction and tools for data management in a greenfield environment
- Utilize tools like Snowflake or Databricks to develop scalable and efficient data solutions
- Apply ETL best practices to streamline complex workflows and integrate disparate data sources
- Use Python and Github to write reusable code and manage version-controlled deployments
- Partner with product, analytics, and compliance teams to support a wide range of credit-focused initiatives
Qualifications :
Benefits :
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Data Engineer • Sunnyvale, CA, United States