Senior Data Engineer

🕒 July 10

🇺🇸 United States – Remote

💵 $171k - $207k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Human Interest

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

💸 Finance

💳 Fintech

💰 $200M Series D on 2021-08

Finance • Fintech

Human Interest is a company that provides affordable and full-service 401(k) and 403(b) retirement plans, primarily targeting small and medium-sized businesses. Founded in 2015, they aim to streamline the retirement planning process through seamless payroll integrations with over 500 leading payroll systems. The company emphasizes low-cost funds and zero transaction fees, and offers customizable retirement solutions to meet the diverse needs of employers and their employees. Human Interest also provides investment advisory services through its subsidiary, Human Interest Advisors LLC. Their goal is to make retirement benefits accessible to businesses of varying sizes, enhancing employee financial wellness and satisfaction.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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.