Note: The job is a remote job and is open to candidates in USA. Human Interest is a high-growth fintech company focused on providing retirement benefits to all workers. As a Senior Data Engineer, you will be responsible for building and maintaining the data infrastructure that supports the company's products and reporting, while ensuring data governance and reliability.
Responsibilities
- 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
Skills
- 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
- 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
- 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.
Company Overview
Company H1B Sponsorship