[Hiring] Senior Data Engineer @Benepass

Role Description

Benepass is hiring a Senior Data Engineer to build and scale the data platform that powers analytics, product reporting, and operational intelligence across the company. You will work on a small, high-impact data team that owns the warehouse, pipelines, transformation layer, semantic layer, and the infrastructure that makes data accessible, trustworthy, and fast.

This is a hands-on senior IC role. You will own the architecture and implementation of data systems from the current 0→1 foundation to 1→N scale. You will partner with Product, Engineering, Customer Operations, GTM, and Finance to understand data needs, then design and build the pipelines, models, and platform capabilities that support those needs.

Your work enables data scientists, analysts, operators, and product teams to move fast with confidence. When this role is working, data is available when teams need it, queries run fast and stay cheap, definitions are clear and versioned, and the platform scales cleanly as the business grows.

This is a force-multiplier role. You will build shared infrastructure, not one-off reports. You will balance short-term delivery with long-term architectural integrity.

Qualifications

• 5+ years of data engineering experience, with growing ownership of platform architecture, data pipelines, and data quality.
• Strong SQL and Python; experience building production data pipelines on modern data stacks.
• Hands-on experience with data warehouses (Redshift, Snowflake, BigQuery) and transformation frameworks (dbt).
• Experience building and maintaining data replication pipelines (CDC, DMS, Airbyte, Fivetran, or similar).
• Solid understanding of dimensional modeling, data grain, slowly changing dimensions, and data quality patterns.
• Experience with semantic layers or metrics platforms (Cube, LookML, MetricFlow) and how they serve governed metrics into BI tools.
• Comfort with AWS data services (RDS, S3, Redshift, DMS, Lambda) and infrastructure-as-code (Terraform preferred).
• Experience working with PII, multi-tenant data, row-level security, and compliance requirements in regulated domains (fintech, healthcare, benefits).
• Clear written and verbal communication; you can explain technical decisions to stakeholders across the company.
• Fit with a high-ownership, high-trust culture.

Requirements

• Experience with orchestration tools (Airflow, Dagster, Prefect, Mage).
• Real-time data, streaming pipelines, or CDC patterns (Kafka, Kinesis, Debezium).
• BI tools (Metabase, Looker, Omni, Superset, Tableau).
• Data observability and cataloging tools (Monte Carlo, Great Expectations, Atlan).
• Fintech, payments, benefits, or healthcare domains where data correctness and compliance are critical.
• Experience with Kubernetes, Docker, or containerized data workloads.
• Exposure to data science workflows: feature engineering, experimentation platforms, or ML pipelines.

Benefits

• 95% coverage of medical, dental, and vision.
• $250 WFH setup (one time).
• $500/year Learning & Development Benefit.
• $150/month cell phone + internet.
• $100/month Wellness.
• $100/month Co-working and Commuter Benefit.
• Flexible PTO.
• Several team onsites a year.

Company Description

At Benepass we're making benefits easy. We believe people are the most important asset to any company. Traditional one-size-fits-all benefits packages no longer cut it in today's hybrid and remote-first environment. With Benepass, companies can tailor their benefits to the unique needs of their workforce.

Our mission is to help companies reimagine how they take care of their people.

We are backed by leading investors, including Centana Growth Partners, Portage Ventures, Threshold Ventures, Gradient Ventures, Workday Ventures, and Clocktower Technology Ventures. To date, the company has raised approximately $75 million in equity capital.