Lead Data Engineer
Company: Egen Solutions Inc
Location: Remote (Remote)
Salary: $143,400 - $168,650 a year
Type: Contract
Remote: Yes
Posted: 2026-06-09
About this role
About Egen:
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. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.
*Want to learn more about life at Egen? Check out these resources in addition to the job description.*
- > Meet Egen
- > Life at Egen
- > Culture and Values at Egen
- > Career Development at Egen
### Role Overview:
We're looking for a Lead Data Engineer to architect and build modern, cloud-native data platforms on Google Cloud. You'll lead the design of unified batch and streaming pipelines, drive data quality and governance practices, and set the technical direction for open, interoperable data architectures. This is a hands-on leadership role for someone who enjoys solving complex data problems and mentoring engineers along the way.
### What You'll Do:
- 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 product...