Senior Data Engineer @Human Interest
Data and Analytics
Salary usd 171,000 - 2..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 2mths ago

[Hiring] Senior Data Engineer @Human Interest

2mths ago - Human Interest is hiring a remote Senior Data Engineer. πŸ’Έ Salary: usd 171,000 - 207,000 per year πŸ“Location: USA

Role Description

As a Senior Data Engineer on the Data Access team, you will be a technical anchor for Human Interest’s data platform at a pivotal moment in Human Interest's growth. This role exists to build and own the infrastructure that ensures the data powering our products, our customer reporting, and our business metrics are reliable and well governed. You will drive the evolution of our data platform toward an architecture that scales for AI consumption and for Human Interest's next growth stage. This is a high-ownership role where your architectural decisions will have a direct and visible impact on Human Interest's capabilities.

The Data Access team is Human Interest's internal data platform team. We own the full data stack from ingestion and orchestration through transformation, governance, and delivery to BI tools. Our stack includes Snowflake, dbt, Airflow, Meltano, and Terraform on AWS. We're a small, highly collaborative team embedded within the HI Tech organization, working closely with Analysts, Finance, Product, and engineering teams to ensure that the data people rely on is trustworthy and accessible.

You'll have the opportunity to shape how we evolve our architecture towards AI-consumption and to set the standard for how production data assets are built, certified, and maintained at Human Interest. The team actively uses AI tools as part of our development workflow, and we expect this role to help drive and expand that practice across the team.

What you get to do every day

  • Define and maintain data governance standards including access controls, data lineage, and contracts between data producers and consumers.
  • Lead the technical direction and evolution of our data platform as we move toward an AI-first data infrastructure.
  • Build and scale data pipelines and architectures that make data accessible and useful to both human analysts and AI systems.
  • Own end-to-end design and development of scalable data pipelines, from ingestion and orchestration to transformation and delivery, using tools including AWS, Terraform, Airflow, Snowflake, dbt, Meltano, Python.
  • Drive data platform reliability through performance optimization, data quality monitoring, and SLA-based prioritization of our most critical data assets.
  • Leverage and champion AI-assisted development tools, including Claude Code, to accelerate development velocity across the team.
  • Mentor data engineers and analysts, raising the technical bar across the team.

Qualifications

  • 5+ years of experience as a Data Engineer with a strong focus on production data pipelines and data infrastructure development.
  • Strong experience with AWS data services in a production context, including storage, compute, and pipeline tooling.
  • Hands-on experience with managing cloud data warehouse technologies, including Snowflake or equivalent, covering access control, performance tuning, and cost management.
  • Strong Python skills, with the ability to independently own and improve complex production data pipelines.
  • Experience with workflow orchestration at scale, including Airflow or equivalent tools.
  • Familiarity with data governance, observability, and data quality practices.
  • Familiarity with event sourcing or change data capture-based data patterns.
  • A strong desire to leverage AI tools and workflow automation to improve team productivity.

Requirements

  • Experience with data lakehouse architectures and open table formats such as Apache Iceberg or Delta Lake.
  • Experience with dbt-core in a production repository.
  • Experience building data infrastructure to support AI-driven data access such as exposing data assets via MCP, implementing governance frameworks for AI data access, and curating, monitoring and evaluating the quality of AI-generated query responses.
  • Background in fintech, financial services, or another highly regulated or compliance-driven industry.

Benefits

  • A great 401(k) plan: Our own! Our 401(k) includes a dollar-for-dollar employer match up to 4% of compensation (immediately vested) and $0 plan fees.
  • Top-of-the-line health plans, as well as dental and vision insurance.
  • Competitive time off and parental leave.
  • Additional Wealth: Unlimited access to digital tools, financial professionals, and a knowledge center to help you understand your equity and support your financial wellness.
  • Lyra: Enhanced Mental Health Support for Employees and dependents.
  • Carrot: Fertility healthcare and family forming benefits.
  • Candidly: Student loan resource to help you and your family plan, borrow, and repay student debt.
  • Monthly work-from-home stipend; quarterly lifestyle stipend.
  • Engaging team-building experiences, ranging from virtual social events to team offsites, promoting collaboration and camaraderie.
Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Data Engineer @Human Interest
Data and Analytics
Salary usd 171,000 - 2..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 2mths ago
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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