Senior Software Engineer, Data Platform - Human Interest

About Human Interest

Human Interest is on a mission to ensure that people in all lines of work have access to retirement benefits. More than half of all working Americans are not saving enough for their future. Too often, it’s because they are employed by a company that doesn’t offer a retirement plan. Human Interest is changing that by making it affordable and accessible for small and medium-sized businesses to offer employees a path to financial independence through retirement savings.

We’re a high-growth fintech company changing the retirement industry, backed by top investors including Marshall Wace, Baillie Gifford, BlackRock, TPG (The Rise Fund), SoftBank, Glynn Capital, NewView Capital, USVP, Wing, and Uncork.

About the Role

As a Senior Software Engineer on the Data Platform team, you will build and operate the distributed systems and services that Human Interest's data platform runs on, at a pivotal moment in our growth. This role exists to own the infrastructure and compute layer that moves data reliably at scale. You will drive the evolution of our data platform toward an architecture that scales for AI consumption and for our next growth stage.

This is a software engineering role in the data domain. You will spend your time designing services, reasoning about failure modes, and tuning distributed compute rather than authoring analytics models. We are looking for engineers who have built production systems and moved into the data world, and who want to keep building systems there.

About the Team

The Data Platform team owns the data stack from ingestion and orchestration through transformation, governance, and delivery to BI tools. Our stack currently includes Snowflake, dbt, Airflow, Meltano, and AWS. We're a small, highly collaborative team embedded within the HI Tech organization, working closely with Analysts, Finance, Product, and engineering teams.

What You Get to Do

• Design, build, and operate the distributed services and compute infrastructure behind our data platform, including containerized workloads on AWS ECS, autoscaling, and resource sizing.
• Own end-to-end design and development of scalable data pipelines and data-moving services.
• Improve how event-sourced data moves from our production systems into our data infrastructure and back out to other systems.
• Participate in on-call rotations for the data platform, and own production issues in distributed data systems end-to-end.
• Ensure participant and employer data is handled securely, including PII classification, role-based access controls, encryption, and audit trails for SOC 2.
• Lead the technical direction and evolution of our data platform as we move toward an AI-first data infrastructure.
• Build the interfaces that data engineers, analysts, and AI systems use.
• Mentor engineers and analysts and raise the technical bar across the team.

What You Bring to the Role

Required:

• 5+ years of experience building and operating production software systems, with significant time spent on data-intensive systems.
• Demonstrated experience designing distributed systems and services, reasoning about concurrency, backpressure, idempotency, and partial failure.
• Hands-on experience running containerized workloads in production on AWS including scaling, resource sizing, and performance/cost tuning.
• Ability to independently own complex production systems alongside automated testing, code review, CI/CD, and Terraform.
• Experience with workflow orchestration at scale, including Airflow or equivalent tools.
• A strong desire to leverage AI tools and workflow automation as the primary way work gets done.

Preferred:

• Hands-on experience with event-sourced, append-only log systems, or change data capture/streaming platforms (e.g., Kafka, Kinesis).
• Working knowledge of cloud data warehouses like Snowflake, including access control and performance tuning.
• Experience getting machine learning models into production and keeping them healthy.
• Experience with data lakehouse architectures and open table formats (e.g., Apache Iceberg, Delta Lake).
• Experience building data infrastructure to support AI-driven data access.
• Background in fintech, financial services, or another highly regulated industry.

Benefits & Perks

• A great 401(k) plan with a dollar-for-dollar employer match up to 4% (immediately vested) and $0 plan fees.
• Top-of-the-line health, dental, and vision insurance.
• Competitive time off and parental leave.
• Addition Wealth: Unlimited access to digital tools, financial professionals, and educational resources.
• Lyra: Enhanced mental health support for employees and dependents.
• Carrot: Fertility healthcare and family forming benefits.
• Candidly: Student loan resources.
• Monthly work-from-home stipend and quarterly lifestyle stipend.
• Engaging team-building experiences and virtual social events.