Senior Data Engineer, Human Interest

• 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

Desirable

• 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
• 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