Senior Data Engineer

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

• ​Design and build scalable data pipelines (batch & streaming) on GCP
• ​Develop and manage API-driven integrations (REST, JSON, event-based)
• ​Work with healthcare data standards such as FHIR, HL7, and EDI
• ​Build and optimize solutions using: BigQuery, Dataflow, Pub/Sub, Cloud Storage
• ​Design data models aligned with business and domain requirements
• ​Ensure data quality, performance, and reliability
• ​Collaborate with stakeholders and independently own deliverables from design to deployment

What We're Looking For

• ​4-6 years of experience in Data Engineering
• ​Strong hands-on experience with GCP (BigQuery, Dataflow, Pub/Sub)
• ​Proficiency in Python and SQL
• ​Experience building data pipelines and distributed systems
• ​Experience with API development or integration
• ​Exposure to healthcare data systems (FHIR, HL7, EDI preferred)
• ​Ability to work independently with minimal supervision
• ​Strong problem-solving and communication skills

Nice-to-Have Skills

• ​Experience with Airflow / Cloud Composer / dbt
• ​Exposure to real-time streaming architectures
• ​Multi-cloud experience (AWS/GCP)
• ​Prior experience in consulting or client-facing roles