Senior Data Engineer

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $175k - $195k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

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Benepass

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

🛡️ Insurance

👥 HR Tech

💰 $12M Series A on 2021-09

Healthcare • Insurance • HR Tech

Benepass is a flexible benefits platform designed for people-first companies, offering a range of personalized and adaptable employee benefits solutions. With a focus on meeting the diverse needs of today’s global workforce, Benepass allows companies to provide customized benefits packages that include health savings accounts, flexible spending accounts, wellness programs, professional development, and more. The platform emphasizes ease of use with features like card-first technology, automated enrollment, and real-time engagement metrics. Benepass supports companies in designing competitive benefits programs that enhance employee satisfaction and retention while staying aligned with corporate DEI and wellness values.

📋 Description

• Own the design and implementation of the data platform, including warehouse, replication, orchestration, transformation, and semantic layers • Architect reliable pipelines from Aurora/RDS and application databases into the warehouse while handling PII, multi-tenancy, and data residency constraints • Maintain orchestration and job scheduling infrastructure with recovery and observability • Design for query performance and cost through query patterns, materialization, incremental models, partitioning, and warehouse tuning • Build data quality checks, automated testing, validation, lineage, documentation, and metadata • Define data modeling, slowly changing dimensions, multi-tenant access controls, and row-level security patterns • Partner with Engineering on source data contracts, instrumentation gaps, and schema evolution • Build dbt staging-to-mart models and Cube models and measures for governed BI and product reporting • Implement Cube row-level security and optimize query speed with pre-aggregations, caching, and materialized views • Enable analysts and data scientists to extend models, write safe queries, and build reports • Partner with Product, Engineering, Customer Operations, GTM, Sales, Finance, analysts, and data scientists on data solutions • Own monitoring, alerting, incident response, post-mortems, deployment workflows, testing frameworks, refresh triggers, and observability • Maintain runbooks and onboarding materials • Shape the data platform roadmap and evaluate real-time, streaming, CDC, catalog, and BI capabilities • Align data infrastructure with AWS, Kubernetes, infrastructure, and security patterns • Attend company-wide on-site events three times per year

🎯 Requirements

• 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 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 governed metrics in 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 • Clear written and verbal communication • Fit with a high-ownership, high-trust culture • U.S.-based and able to work legally in the United States, as indicated by the application questions

🏖️ Benefits

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