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Lead architecture and implementation of scalable batch and streaming ETL/ELT pipelines, data services, and graph-serving models for Observability & Insights. Own technical strategy, drive performance and cost improvements, enforce data governance and observability, lead cross-team initiatives, participate in on-call and incident follow-through, and partner with product and engineering to deliver low-latency graph exploration at extreme scale.
Top Skills:
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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
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About the opportunity:
We are looking for a Data Engineer with strong Google Cloud Platform (GCP) experience to join our growing data practice. This is a hands-on, high-impact role focused on building scalable data platforms and API-driven integrations, particularly within the healthcare domain. You will have the opportunity to work on modern data architectures and deliver end-to-end solutions in a fast-paced, client-facing environment.
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:
- 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
What you need to know about the Colorado Tech Scene
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