Senior Data Engineer

Egen; United States; On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Comprehensive Health Insurance

Paid Vacation

Paid Holidays

Sick Leave

Parental Leave

Bereavement Leave

401(k) Employer Match

Employee Referral Bonuses

Job summary

Egen is seeking a Data Engineer with strong Google Cloud Platform experience to join our growing data practice. This hands-on role focuses on building scalable data platforms and API-driven integrations in the healthcare domain.

You will design data models, pipelines (batch and streaming), ensure data quality, and partner with stakeholders from design to deployment in a fast-paced client-facing environment.

Qualifications

• 4–6 years of data engineering experience.
• Hands-on experience with GCP (BigQuery, Dataflow, Pub/Sub).
• Proficiency in Python and SQL.
• Experience building data pipelines and distributed systems.
• Exposure to healthcare data standards (FHIR, HL7, EDI preferred).

Responsibilities

• 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 data models aligned with business needs.
• Ensure data quality, performance, and reliability; collaborate with stakeholders.

Tools

BigQuery

Dataflow

Pub/Sub

Python

SQL

FHIR/HL7/EDI

Job description

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.

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 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 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:

• 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.