Data Engineer (Healthcare Consulting & IT)

Posted 6 Days Ago
Hiring Remotely in United States
Remote
105K-140K Annually
Senior level
Healthtech • Kids + Family
The Role
The Data Engineer will develop and maintain data pipelines for healthcare analytics, ensuring data quality, compliance, and integration across diverse sources while supporting enterprise data strategy.
Summary Generated by Built In

About Sellers Dorsey


Sellers Dorsey is a healthcare impact strategy firm focused on improving care access, quality, and outcomes for our nation’s most vulnerable populations. We work with providers, managed care organizations, state entities, and others, to design, implement, fund, and optimize sustainable programs that deliver maximum impact to underserved communities. Built on decades of experience in Medicaid, our team includes former state Medicaid directors, healthcare policy experts, health plan execs, and hospital leaders who know how to navigate the complexities of the system and find creative, impactful solutions that drive the greatest impact for the individuals and communities that need it most.


About the Role


Sellers Dorsey is seeking a a technically skilled and mission-driven Data Engineer that will build, optimize, and maintain scalable data pipelines that power clinical, operational, and regulatory insights. This role is foundational to our enterprise data strategy and will work closely with architects, analysts, and governance teams to turn healthcare data into actionable intelligence.


Key Responsibilities


Data Architecture & Engineering:

  • 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.

ETL Development & Optimization:

  • 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.

Data Transformation and Staging:

  • 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

Data Mapping:

  • 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 withing an existing database architecture.

Data Strategy Support:

  • 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.

Data Governance & Compliance:

  • 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.

Key Qualifications

  • 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.).

Compensation & Benefits 


The anticipated salary range for candidates is $105,400/year in our lowest geographic market range to up to $140,000/year in our highest geographic market range. The final pay offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and years of experience within the job, the type of years and experience within the industry, the candidate’s education, and the candidate’s market location. Typically, candidates are not hired near the top of the range and compensation decisions are made based upon Sellers Dorsey’s Total Compensation Policies & Guidelines. The successful candidate will also be eligible to participate in our annual Corporate Incentive Plan (CIP) that can range to up to 10% of annual salary. 


Provided they meet all eligibility requirements under the applicable plan documents, the successful candidate (and their eligible dependents) will be eligible to enroll in group healthcare plans that offer medical, dental, and vision and for insurance plans offering short term disability, long term disability, and basic life. Employees are also able to enroll in Sellers Dorsey’s 401k plan provided they meet plan requirements.  Sellers Dorsey offers a Flexible Time Off that allows employees to use what they need. Additionally, we offer 10 paid holidays throughout the calendar year, paid time off for qualifying medical leave, and up to 12 weeks of combined paid parental and bonding leave. The foregoing benefits and paid time off, including an employee’s eligibility therefore, will be controlled by applicable plan documents and Sellers Dorsey policy. 


This is intended to provide a general description of benefits and other compensation and is not a substitute for applicable plan documents or company policies. 


Sellers Dorsey is an Equal Employment/Affirmative Action employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state, or local law.


If you need a reasonable accommodation for any part of the employment process, please contact us by email at [email protected] and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.


This position requires that you be fully vaccinated against Covid-19. Requests for reasonable accommodation on the basis of disability and/or sincerely held religious beliefs will be provided subject to undue hardship.


Sellers Dorsey maintains a Drug-Free workplace.

Top Skills

AWS
Azure
Collibra
Dbt
Etl Tools
GCP
Informatica
JSON
Python
SQL
T-Sql
Yaml
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The Company
HQ: Philadelphia, PA
258 Employees

What We Do

Sellers Dorsey is a healthcare impact strategy firm committed to enhancing access, quality, and outcomes for vulnerable populations. We partner with providers, managed care organizations, state agencies, and other stakeholders to design, fund, implement, and optimize sustainable programs that drive meaningful change. Backed by decades of Medicaid expertise, our team—including former state Medicaid directors, policy experts, health plan executives, and hospital leaders—brings deep knowledge of complex systems. We specialize in developing innovative, results-driven solutions that create lasting impact for the communities who need it most.

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