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
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Design and implement scalable data pipelines and a SOC2-compliant data warehouse. Support analytics and ML teams, enable real-time and batch ETL, mentor data engineers, and collaborate cross-functionally to drive data-driven decisions.
Top Skills:
DagsterDatabricksDbtLlmsPlanetscaleRedshiftSnowflakeSoc2Tinybird
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
Lead cloud data modernization by designing and implementing Azure/Snowflake/Databricks data platforms, building scalable ETL/ELT pipelines, ensuring data quality, security and governance, implementing CI/CD, mentoring engineers, and supporting healthcare data solutions and compliance.
Top Skills:
AirflowAzureAzure Data Factory (Adf)Azure Data Lake Storage Gen2 (Adls Gen2)Change Data Capture (Cdc)CptDatabricksDatabricks GenieEtl/EltFacetsFhirGitGithub ActionsGithub CopilotHcpcsHl7Icd-10LlmsLoincPrompt EngineeringPysparkPythonRag PipelinesSnowflakeSnowflake CortexSparkSQL ServerSsisVector StoresVisioX12 Edi (837/835/834)
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
