Build and maintain scalable batch and streaming data pipelines on GCP, develop API-driven integrations, design data models, ensure data quality and performance, and deliver end-to-end solutions in a client-facing healthcare data environment.
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
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.
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 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
Compensation & Benefits:
This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
Check out our complete list of benefits here - >https://egen.ai/people/#benefits
Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.
EEO and Accommodations:
Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
Similar Jobs
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
Build, deploy, and operate production-grade data pipelines and data products for healthcare audiences. Design transformations, data models, and governed views using Python, SQL, Airflow, S3, Snowflake, and EMR. Implement data-quality, monitoring, and privacy-by-design controls for PHI/PII. Partner with product, analytics, and platform teams to onboard sources, support audience discovery, segmentation, activation, measurement, and troubleshoot production issues.
Top Skills:
Amazon EmrAmazon S3Apache AirflowAthenaHivePythonSnowflakeSQL
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and maintain scalable ETL/ELT data pipelines and architectures across warehouses, lakes, and streaming environments. Ensure data governance, quality, and security. Lead delivery of analytics data products, optimize production systems, collaborate with stakeholders, and mentor junior data engineers.
Top Skills:
Amazon RedshiftApache AirflowSparkAzureCi/CdDatabricksEtl/EltGitJavaKafkaLinuxPythonScalaSnowflakeSQL
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Build and maintain governed Silver/Gold data models and semantic assets on Databricks. Translate stakeholder KPIs into testable, reusable transformations, apply enterprise modeling standards, enable domain self-service, ensure data sensitivity and governance, and review domain-contributed models for production readiness.
Top Skills:
Bi ToolsDatabricksDatabricks SqlDelta Live TablesGeniePysparkSemantic Layer ToolingSQL
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute



