Sellers Dorsey · 16 hours ago
Healthcare Data Engineer
Sellers Dorsey is a healthcare impact strategy firm focused on improving care access, quality, and outcomes for vulnerable populations. The Healthcare Data Engineer will build, optimize, and maintain scalable data pipelines to turn healthcare data into actionable intelligence, working closely with architects, analysts, and governance teams.
ConsultingHealth Care
Responsibilities
Design, develop, and maintain robust data pipelines and architectures using modern ETL/ELT frameworks
Integrate and standardize healthcare data from diverse sources including EHR, claims, lab systems, and patient portals
Collaborate with Data Architects to implement scalable models that support BI, analytics, and data science initiatives
Build automated ETL workflows that ensure high performance, reliability, and data integrity
Monitor data jobs and troubleshoot issues across cloud and on-prem environments
Document pipelines and technical processes with precision and clarity
Ensure proper logging and transparency into pipeline performance and data load analytics
Shape data from raw intake and inputs into usable and meaningful data stages for consumption by BI programs and analytics platforms
Work with Backend Engineers to understand API data requirements and shape data accordingly
Properly document transformation steps for ongoing support and maintenance of Data Governance
Work in multiple existing database structures to understand table schema and build queries to extract necessary data
Build and / or utilize queries and strategies for forensic discovery of data elements within an existing database architecture
Contribute to the development and execution of enterprise data strategy, aligning technical work with business goals
Translate analytics needs into data engineering deliverables and identify opportunities for innovation
Support client relations with ad-hoc client data queries and record requests
Ensure data quality, accuracy, and security across engineering processes
Partner with governance teams to implement metadata management, data lineage, and stewardship practices
Maintain compliance with HIPAA, HITECH, and internal policies
Qualification
Required
Bachelor's degree in Computer Science, Information Systems, Health Informatics, or related field preferred
5+ years of experience in data engineering, preferably in a healthcare or regulated industry, required
Experience with cloud platforms such as Azure, AWS, or GCP
Knowledge of data governance frameworks and tools (e.g., Collibra, Informatica)
Exposure to DevOps, CI/CD pipelines, and Agile development practices
Familiarity with healthcare data formats (HL7, FHIR, CCD), structures, and compliance requirements
Expertise in ETL development and tools (e.g., Python, Azure Data Factory, etc.)
Experience in data transformation models (e.g., dbt, T-SQL, etc.)
Proficiency in SQL, Python, YAML, JSON
Comfortable with multiple varied data formats and the pros / cons of each (e.g., CSV, Feather, Parquet, etc.)
Proficiency in multiple database structures (e.g., MS SQL, Postgres, Snowflake, etc.)
Benefits
Eligible to participate in our annual Corporate Incentive Plan (CIP) that can range to up to 10% of annual salary
Group healthcare plans that offer medical, dental, and vision
Insurance plans offering short term disability, long term disability, and basic life
401k plan
Flexible Time Off
10 paid holidays throughout the calendar year
Paid time off for qualifying medical leave
Up to 12 weeks of combined paid parental and bonding leave
Company
Sellers Dorsey
Sellers Dorsey is a healthcare consulting firm that offers a bespoke and fully integrated suite of services to enhance the lives of people.
Funding
Current Stage
Growth StageRecent News
Venture Capital
2025-07-16
PR Newswire
2025-07-15
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