Data Engineer - Harnham : Job Details

Data Engineer

Harnham

Job Location : San Francisco,CA, USA

Posted on : 2025-08-07T01:15:20Z

Job Description :

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $180,000.00/yr

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Title: Data Engineer - Startup Exp Required

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:

  • 4+ 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
  • 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
Seniority level
  • Seniority levelAssociate
Employment type
  • Employment typeFull-time
Job function
  • IndustriesConsumer Services

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Medical insurance

Vision insurance

401(k)

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