Lead Data Engineer
Benepass
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $180,000 - $200,000 per year
Job Level
Senior
Tech Stack
Amazon RedshiftAWSETLPythonSQL
About the role
- Own & Evolve the Benepass Data Platform
- 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 people analytics, revenue and margin reporting, operational workflows, and compliance/audit needs.
- Provide tooling, infrastructure, and best practices to empower the Operations Data team and other internal data consumers.
- Design and implement ETL/ELT pipelines, schemas, and transformations in our AWS environment.
- Debug complex data issues, especially those spanning payments, benefits, and financial systems.
- Establish standards for data reliability, testing, documentation, privacy, and governance.
- Create clarity where none exists—define architectural direction, roadmap, SLAs, data contracts, and cross-team processes.
- Anticipate scaling needs and prepare the platform for increased volume, complexity, and product usage.
- Influence product and engineering teams on event instrumentation, schema design, and logging to ensure downstream data is structured and reliable.
- Define the future data engineering team structure, establish foundational patterns, tooling, and documentation, and position Benepass to scale efficiently once we do grow the team.
Requirements
- ~5+ years of data engineering experience with increasing scope and ownership.
- Strong background with AWS (RDS, Redshift, S3, Lambda, IAM) and Python.
- Deep experience building and maintaining scalable ETL/ELT pipelines, data models, event schemas, and orchestration.
- Strong command of SQL, warehousing concepts, dimensional modeling, and performance optimization.
- 0→1 and Scale Experience building or significantly overhauling a data platform at a high-growth startup or similar environment.
- Able to translate ambiguous business questions into clear, prioritized technical work.
- Experienced in partnering with non-technical stakeholders (Finance, Sales, People, Operations) who depend on timely and accurate data.
- High sense of ownership and accountability for data reliability and clarity.
- Bias toward action, with strong judgment on when to build for now vs. build for scale.
Benefits
- 95% coverage of medical, dental, and vision
- $250 WFH setup
- $150/month cell phone + internet
- $100/month Wellness
- Flexible PTO
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringAWSPythonETLELTSQLdimensional modelingdata warehousingperformance optimizationdata modeling
Soft skills
ownershipaccountabilityjudgmentcommunicationcollaborationproblem-solvingprioritizationinfluenceclarityscaling