Senior Data Engineer

 

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.

 

 

 

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.

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

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

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