About the role

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. You will design for AI consumption, unstructured data access, and integration with AI tooling from the ground up.
• 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.

What you bring to the role

• 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.

Nice to haves:

• 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.

Please feel free to apply to this position even if you do not meet 100% of the requirements listed above.

Compensation - At Human Interest, there are a number of factors that are used to determine the appropriate pay range for each position. We take into account the cost of labor for each position in various markets across the U.S. The base salary for this position spans $171,000 - $207,000 and represents the minimum in our lowest geographic region to a maximumin our highest geographic region. The salary we offer to a new employee within this range is based on their location within the U.S., their relevant job-related skills, and experience. At Human Interest, base salary is one component of the overall total rewards package. Depending on the position, additional compensation components such as bonuses, commissions, and equity may be offered. All of our employees are offered a robust suite of physical, financial, and mental wellness benefits. In compliance with applicable laws, we do not inquire about salary history, or about criminal history prior to a conditional offer of employment.

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
• Addition 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.