Lead Data Engineer

About Us

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.

Through our easy-to-use and highly customizable fintech platform, People teams can implement, administer, and track the benefits that meet employees where they are. Employers design their benefits and perks plan by setting a contribution amount and eligible spend categories. Every employee has their own individual definition of wellness and needs different things to help them be their most productive, fulfilled self.

Helping companies reimagine how companies take care of their people.

We are backed by leading investors, including Portage Ventures, Threshold Ventures, Gradient Ventures, Workday Ventures, and Clocktower Technology Ventures. To date, the company has raised $35 million of equity capital.

• Founder Story - Jaclyn Chen

• Benepass Raises $20M

• Benepass | Candidate Resource Page

• Benepass Listed on Inc. Magazine's Best Workplaces of 2023

Benepass is hiring a Lead Data Engineer to become the end-to-end owner of our data engineering function. This is a foundational, hands-on, high-ownership individual contributor role where you will design, build, and scale the next generation of Benepass's data infrastructure—pipelines, warehousing, transformations, data quality, and tooling. This is a foundational role where you will serve as the first and primary Data Engineer at Benepass, responsible for building the platform, defining standards, and establishing the patterns that future data engineering hires will follow.

This role is focused on data engineering and platform ownership, not analytics or data science — you should identify as an engineer who builds systems, pipelines, and frameworks, not dashboards or reports.

You will partner closely with Engineering, Product, Finance, People, Sales, Operations, and the Executive Team to deliver high-quality, reliable data that powers our products, business intelligence, financial reporting, internal tooling, and decision-making. You will partner deeply with Finance, Operations, Product, Engineering, and our Executive Team to deliver the core datasets powering revenue reporting, margin analysis, compliance workflows, customer-facing features, and internal operational tooling.

You will also work heavily with our Operations “Data” team to provide the infrastructure, workflows, and tools they need to deliver dashboards, reporting, and operational insights.

Nothing will be handed to you—you will define the roadmap, technical direction, standards, and architecture for data engineering  will ensure data governance, privacy, and compliance across sensitive financial, payments, and benefits datasets and will establish testing, auditability, and monitoring practices appropriate for regulated environments. You will design for scaling volume and complexity across millions of transactions, multi-program benefit configurations, and financial system integrations.

This role is ideal for someone who has successfully built or significantly scaled a data platform at a similar-stage, high-growth company and wants broad ownership as an IC.

You will be expected to attend company-wide on-site events three times per year.

• Serve as the primary architect and builder of our data infrastructure across our AWS stack (RDS, Redshift, S3, etc.).

• Evaluate and lead the evolution of our data stack, including decisions around warehousing, orchestration, transformations, ingestion, and observability.

• Define ingestion, modeling, testing, and monitoring frameworks to ensure data is accurate, reliable, and easy to use.

• Partner with Engineering, Product, Finance, People, Sales, Operations, and the Executive Team to understand data needs and deliver high-value pipelines, models, and datasets.

• Support financial and…