Lead Data Engineer

About the Company

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights.

Responsibilities

• Architect and optimize large-scale data platforms on Google Cloud, with BigQuery as the analytical backbone
• Design and build unified batch and streaming pipelines that handle high-volume, mission-critical workloads
• Lead infrastructure-as-code practices, ensuring environments are repeatable, secure, and version-controlled
• Implement open table formats to enable cross-cloud and cross-engine data interoperability
• Establish automated data quality, metadata, and lineage practices across the data estate
• Partner with data scientists, analysts, and product teams to translate business needs into reliable data products
• Mentor engineers, review designs, and raise the bar on engineering standards

Requirements

• 7+ years in data engineering
• 2+ years in a lead or senior individual contributor capacity on Google Cloud-based platforms
• Advanced BigQuery knowledge (partitioning, clustering, slot management, storage optimization)
• Hands-on experience with Dataflow (Apache Beam), Dataproc, and Pub/Sub
• Production experience with Terraform
• Working knowledge of Apache Iceberg
• Experience with Dataplex and Data Catalog

Preferred Qualifications

• Experience leading or mentoring data engineering teams
• Familiarity with CI/CD for data pipelines (Cloud Build, GitHub Actions)
• Exposure to multi-cloud or hybrid data architectures
• Background in regulated industries like healthcare or financial services

Benefits

• Comprehensive Health Insurance
• Paid Leave (Vacation/PTO, Holidays, Sick, Parental, Bereavement)
• 401(k) Employer Match
• Employee Referral Bonuses