Senior Data Engineer — AI-First Data Platform

Human Interest; United States; Remote; USD 171,000 - 207,000; Full time

Benefits offered by this job

401(k) match

Health insurance

Parental leave

Mental health support

Work-from-home stipend

Team offsites

Job summary

Human Interest is a high-growth fintech company offering retirement solutions for SMBs. We seek a Senior Data Engineer to own our data platform, driving scalable pipelines and AI‑first architecture.

You will shape data governance, access controls, and data quality while collaborating across teams to deliver reliable, well-governed data for products and insights. You will work with AWS, Snowflake, dbt, Airflow, Terraform, Meltano, and Python to build end‑to‑end pipelines, ensure reliability, and

Qualifications

• 5+ years of experience as a Data Engineer with production pipelines focus.
• Strong experience with AWS data services in production contexts.
• Hands-on data warehouse management with Snowflake or equivalent.

Responsibilities

• Define and maintain data governance standards including access controls and lineage.
• Lead the evolution of the data platform toward AI-first infrastructure.
• Build and scale data pipelines for analysts and AI systems.
• Own end-to-end data pipelines from ingestion to delivery using AWS, Terraform, Airflow, Snowflake, dbt, Meltano, Python.
• Improve platform reliability through performance, data quality monitoring, and SLA-driven prioritization.
• Champion AI-assisted development tools to boost velocity.
• Mentor data engineers and analysts.

Skills

Data platform

AWS data services

Snowflake

Python

Airflow

Data governance

Observability

Data quality

Event sourcing

AI tooling

Tools

Terraform

dbt

Meltano

Job description

Human Interest is a high-growth fintech company offering retirement solutions for SMBs. We seek a Senior Data Engineer to own our data platform, driving scalable pipelines and AI‑first architecture.

You will shape data governance, access controls, and data quality while collaborating across teams to deliver reliable, well-governed data for products and insights. You will work with AWS, Snowflake, dbt, Airflow, Terraform, Meltano, and Python to build end‑to‑end pipelines, ensure reliability, and