1

Healthcare Data Developer Jobs (NOW HIRING)

Health Data Engineer - Mid

Tysons, VA ยท On-site

$115K - $139K/yr

... DevOps engineers, product managers, and healthcare specialists to understand requirements, share ... Document data models, pipelines, API integrations, and best practices for reference and knowledge ...

DATA ENGINEER

California City, CA ยท On-site

$140K - $168K/yr

Data Engineer Healthcare (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare ( 2-3 years experience) to support healthcare data ...

DATA ENGINEER

Virginia Beach, VA ยท On-site

$101K - $121K/yr

Data Engineer Healthcare (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare ( 2-3 years experience) to support healthcare data ...

Healthcare Data Architect

Richmond, VA ยท On-site

$63 - $81.25/hr

Position: Healthcare Data Architect Location: Richmond, VA Length: 3 months- w/option for extension MUST HAVE Healthcare Payer experience from one of the following companies: Aetna, Cigna, Humana ...

Translate business and clinical needs into clear requirements for product and engineering. * Model ... Help stand up the data foundations: sources, definitions, and governance that a healthcare company ...

Data Engineer (Healthcare)

$117K - $140K/yr

We are currently looking for a Data Engineer to join a healthcare data platform initiative, helping ... Experience with CI/CD pipelines, Git, and DevOps workflows * Familiarity with Infrastructure-as ...

Showing results 41-60

Healthcare Data Developer information

What is the difference between Healthcare Data Developer vs Healthcare Data Analyst?

AspectHealthcare Data DeveloperHealthcare Data Analyst
Primary RoleDesigns, develops, and maintains healthcare data systems and applicationsAnalyzes healthcare data to generate insights and support decision-making
Skills & CertificationsDatabase programming, SQL, ETL, healthcare data standardsData analysis, statistical tools, reporting skills
Work EnvironmentIT departments, healthcare tech companies, hospitalsHealthcare organizations, research institutions, clinics
Common TasksBuilding data pipelines, coding, system integrationData interpretation, reporting, trend analysis

While both roles work with healthcare data, Healthcare Data Developers focus on creating and maintaining data systems, whereas Healthcare Data Analysts interpret data to inform healthcare decisions. Understanding these differences helps professionals choose the right career path or job focus within the healthcare data field.

What cities are hiring for Healthcare Data Developer jobs?

Cities with the most Healthcare Data Developer job openings:

What states have the most Healthcare Data Developer jobs?

States with the most job openings for Healthcare Data Developer jobs include:

What are popular job titles related to Healthcare Data Developer jobs?

For Healthcare Data Developer jobs, the most frequently searched job titles are:

Health Data Engineer - Mid

Tysons, VA โ€ข On-site

$115K - $139K/yr

Full-time

Re-posted 25 days ago


Job description

Overview
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
Responsibilities
We are seeking a results-driven Mid-Level Data Engineer to join our team and contribute to developing cutting-edge healthcare data solutions. This role involves building, managing, and optimizing data pipelines, ensuring the reliable acquisition, storage, transformation, and delivery of data for our health-focused applications and analytics platforms with a primary focus on Medicare, Medicare Advantage, and risk adjustment.
The ideal candidate will bring a strong background in data engineering and analytics, as well as familiarity with healthcare data and compliance requirements. You will play a critical role in ensuring data integrity, accessibility, and security, ultimately facilitating valuable insights and better outcomes for patients, healthcare providers, and stakeholders.
This is an exceptional opportunity to use your technical and analytical skills to make an impact in the healthcare space, working with large datasets to drive innovative solutions that enhance patient care and healthcare processes.
  • Data Pipeline Development:
    • Architect and build scalable, reliable, and secure data pipelines to gather, process, and store healthcare data from multiple sources.
    • Create and optimize ETL/ELT workflows, ensuring proper data extraction, transformation, and loading into analytics-ready databases or data warehouses.
    • Design, implement, and manage cloud-based data engineering solutions using cloud platforms.
  • Database Management & Optimization:
    • Develop and maintain robust, scalable data storage solutions such as relational databases (SQL Server, PostgreSQL, MySQL) or NoSQL databases (MongoDB, Cassandra, DynamoDB).
    • Tune database performance, troubleshoot issues, and implement optimizations to handle large-scale data sets efficiently.
    • Ensure data reliability and integrity through schema design, normalization, and validation processes.
  • Healthcare Data Integration & Analytics Support:
    • Integrate data across healthcare applications and systems
    • Prepare clean, well-organized datasets for downstream analytics and machine learning projects to improve patient outcomes and healthcare workflows.
    • Collaborate with data analysts and product teams to provide data solutions that support reporting, dashboards, and decision-making tools.
  • Security, Compliance & Monitoring:
    • Implement security measures to protect sensitive healthcare data and ensure compliance with healthcare regulations (e.g., HIPAA).
    • Monitor data pipelines and infrastructure, addressing bottlenecks or failures to ensure system uptime and data accessibility.
    • Proactively identify and address security vulnerabilities or inconsistencies in data systems.
  • Collaboration and Documentation:
    • Work closely with developers, DevOps engineers, product managers, and healthcare specialists to understand requirements, share insights, and align on project goals.
    • Document data models, pipelines, API integrations, and best practices for reference and knowledge sharing.
    • Contribute to the overall technical strategy for optimizing health data processing and usage.

Qualifications
MINIMUM QUALIFICATIONS
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Minimum of 5 years of professional experience as a Data Engineer, Data Analyst, or a similar role, preferably with exposure to healthcare data projects or financial/banking systems.
    • Proficiency with structured and unstructured data querying tools (SQL, PostgreSQL, or NoSQL databases like MongoDB).
    • Strong knowledge of ETL/ELT processes, data warehousing, and analytics frameworks (e.g., Snowflake, Redshift, BigQuery, Databricks, or Apache Spark).
    • Hands-on experience with data pipeline tools such as Apache Airflow, Talend, NiFi, or similar platforms.
    • Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including tools for data processing (e.g., AWS Glue, S3, Athena).
    • Expertise in programming/scripting languages like Python, PySpark, Java, or Scala for data manipulation and automation tasks.
    • Knowledge of containerization tools, including Docker and Kubernetes, for data system deployment.
    • Familiarity with data visualization tools (e.g., Tableau, Power BI) and an understanding of analytics concepts.
    • Understanding of healthcare data security and compliance requirements (e.g., HIPAA).
    • Experience with encryption, data masking, and access controls to protect sensitive health information.
  • Strong analytical and problem-solving capabilities, with the ability to work with large-scale datasets and maintain their integrity.
  • Experience working in the CMS Integrated Data Repository or other large government healthcare data required.
  • Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
  • Ability to work in a fast-paced healthcare setting and adapt to evolving project requirements.
  • Strong attention to detail, organization, and commitment to quality.

PREFERRED QUALIFICATIONS
  • Familiarity with healthcare compliance requirements such as HIPAA or GDPR.
  • Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or Linux Foundation Certified Kubernetes Administrator.
  • Experience in federal consulting.
  • Demonstrated experience with health projects, including those involving Medicare and health data.

Target salary range: $90,620 - $115,754
Disclaimer:
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
#LI-SH1
Job Locations
US-VA-Tysons