Job Description Summary

This Senior Data Engineer is responsible for leading the design and management of scalable data solutions that enable product and clinical innovation. This role drives data architecture, process automation, and cross-functional data workflows while establishing engineering best practices and mentoring team members to ensure high-quality, data-driven outcomes.

Job Description

Roles and Responsibilities

• Lead the definition, development, and maintenance of database solutions.
• Manage and prioritize data team tasks.
• Drive support and optimization of data processes and automations.
• Oversee data preparation and analysis for regulatory submissions.
• Translate product and clinical needs to a data architecture.
• Lead cross-team data workflow with Algo, Clinical, Verification and Product teams.
• Establish data engineering with the best practices and standards.
• Provide technical mentorship and guidance to team members.

Quality Specific Goals:

• Aware of and comply with the GEHC Quality Manual, Quality Management System, Quality Management Policy, Quality Goals, and applicable laws and regulations as they apply to this job type/position.
• Complete all planned Quality & Compliance training within the defined deadlines
• Identify and report any quality or compliance concerns and take immediate corrective action as required.
• Support compliance/closure of Regulatory and Quality requirements before completing Design Outputs/Program Deliverables.
• Participate in continuous improvement activities by identifying and appropriately escalating process and product quality gaps, providing solutions when possible.

Qualifications:

• 5+ years of hands-on experience in data management and curation with Python, Excel
• 2+ years in team leadership or management role.
• Excellent organizational, interpersonal, and leadership skills.
• Experience in hiring, mentoring, and performance management.
• In-depth knowledge of SQL and query optimizations.
• Experience with file formats such as JSON, CSV, Parquet, FHIR, DICOM.
• Experience with Dataframe-based libraries (Pandas, Polars, PySpark).
• Experience with writing and overseeing unit, component, integration, and end-to-end tests.
• Strong team player with proven ability to build and lead high-performing teams.
• Collaborative and communicative style, able to adapt to change and guide others through transitions.

Preferred Qualifications:

• Hands-on experience with cloud providers. (Such as AWS/GCP/Azure)
• Experience with technologies such as AWS Lambda, S3, Athena, API Gateway, DynamoDB
• Experience Working with orchestrators such as AWS Step Functions, Event Bridge, SQS/SNS, Kinesis or Kafka.
• Knowledge of Docker, CI/CD processes, and infrastructure as code tools. (e.g. AWS CloudFormation, Terraform, CDK)
• Background in medicine / medical industry and experience with standard medical terminologies such as UMLS.

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

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Additional Information