Benepass · 8 hours ago
Lead Data Engineer
Benepass is a company focused on making benefits easy and customizable for organizations. They are seeking a Lead Data Engineer to own and scale their data infrastructure, ensuring the delivery of high-quality data to support various business functions and decision-making processes.
Employee BenefitsEnterprise SoftwareFinTechHuman Resources
Responsibilities
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 our 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
While we do not plan to hire additional data engineers on this team in the next year, you will: 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
Qualification
Required
~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
You have built or significantly overhauled a data platform at a high-growth startup (e.g., Series A–C) or similar environment
Comfortable owning the entire data ecosystem without existing mature processes or structure
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
Preferred
Experience in fintech, payments, benefits, or other regulated domains with high data integrity requirements
Familiarity with tools such as dbt, Dagster/Airflow, Kafka/Kinesis, and data quality / observability tooling
Experience supporting both internal BI/reporting and data-for-product use cases (e.g., analytics, personalization, fraud/risk)
Benefits
95% coverage of medical, dental, and vision
$250 WFH setup
$150/month cell phone + internet
$100/month Wellness
Flexible PTO
Company
Benepass
Benepass is a benefits administration platform that helps companies manage and distribute employee perks and benefits.
Funding
Current Stage
Growth StageTotal Funding
$74.73MKey Investors
Portage VenturesThresholdGradient
2025-12-05Series Unknown· $40M
2024-01-31Series B· $20M
2021-09-29Series A· $12.03M
Recent News
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