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Medical Analytics Data Engineer Jobs (NOW HIRING)

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

Data Engineer General Information Requisition #710 Locations USA-VA-Arlington Posting Date 06/12 ... This role sits within an analytics-focused business unit supporting IRS enforcement, compliance ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... This role sits within an analytics-focused business unit supporting IRS enforcement, compliance ...

Data Engineer

Malvern, PA ยท On-site

$112K - $134K/yr

Preferred : โ€ข Data Engineer โ€ข Data Analysis, Data Warehouse Company : Jobdiva Job Portal: Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in ...

Data Engineer

Highland Heights, OH ยท On-site

$111K - $133K/yr

Data Engineer The Data Engineer is responsible for collecting, managing, and converting raw data ... Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.

Data Engineer

Washington, DC ยท On-site +1

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... You'll use your experience in analytical exploration and data examination while you manage the ...

Data Engineer IV

Menlo Park, CA ยท On-site

$110 - $118/hr

Partner closely with data scientists, analysts, product managers, and engineering teams to deliver high-quality data solutions. * Implement and maintain data quality frameworks, automated monitoring ...

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary) Category Engineering Job ... advanced analytics, and programmatic domains. As an employee-owned SDVOSB headquartered in ...

Position: ETL Data Engineer Location: Malvern, PA Duration: Long term contract ... Writes ETL (Extract / Transform / Load) processes, designs analytical data sets, develops tools for ...

$21.09 - $44.40/hr

The Data & Analytics, Data Engineer & Data Science role profile consists of - Data & Analytics ... Medical, Dental, Vision, Disability, Health and Dependent Care Reimbursement Accounts, Employee ...

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ... related medical conditions), sexual orientation, gender, gender identity, gender expression ...

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ... related medical conditions), sexual orientation, gender, gender identity, gender expression ...

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ... related medical conditions), sexual orientation, gender, gender identity, gender expression ...

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ... related medical conditions), sexual orientation, gender, gender identity, gender expression ...

Showing results 41-60

Medical Analytics Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do medical analytics data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for medical analytics data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Medical Analytics Data Engineer jobs?

For Medical Analytics Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Medical Analytics Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Arlington, VA โ€ข On-site

Elder Research
Computing Infrastructure Providers, Data Processing, Web Hostingย โ€ขย 51 - 200 employees

$131K - $158K/yr

Full-time

Re-posted 29 days ago


Job description

Data Engineer
General Information
Requisition #710
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area.
As a Data Engineer, you will support the Internal Revenue Service's mission to combat tax fraud, identity theft, and non-compliance by designing and delivering secure, scalable, and automated data pipelines that power advanced analytics, machine learning models, and decision-support tools. You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions.
Your work will enable fraud detection, audit prioritization, refund review, and compliance risk analysis across large, sensitive tax and financial datasets. This role sits within an analytics-focused business unit supporting IRS enforcement, compliance, and research initiatives, partnering closely with data science and analytics teams to ensure data products are production-ready, trustworthy, and mission-aligned.
Responsibilities include but are not limited to:
  • Troubleshoot and resolve complex data and system issues across cross-functional and mission-critical environments with minimal supervision
  • Engineer solutions that integrate diverse data types, including transactional, financial, and textual data, to support compliance and fraud analytics
  • Collaborate with data scientists and stakeholders to deploy analytics applications, dashboards, and decision-support tools
  • Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages using collaborative development practices
  • Build and maintain secure, scalable data pipelines and end-to-end systems, including operation within air-gapped or restricted government environments
  • Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ongoing support
  • Produce technical documentation and deliver briefings or presentations to technical and non-technical audiences
  • Act as a technical consultant, translating business, compliance, and enforcement needs into effective data solutions

Minimum Qualifications:
  • 2๏ฟฝ7+ years of experience in data science, analytics, or a related technical field, with prior programming experience, preferably in Python
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
  • Design, build, and deploy robust, repeatable, and automated data pipelines using Python and SQL to transform raw data into analytics and ML-ready datasets
  • Engineer data pipelines that support fraud detection, compliance analytics, and predictive risk modeling across structured and unstructured data sources in Databricks
  • Develop and maintain end-to-end machine learning data workflows across on-premises and cloud environments, integrating backend systems with analytics platforms and user-facing applications
  • Partner closely with data scientists, analysts, product managers, and government stakeholders to align data engineering solutions with IRS mission objectives, and translate client and stakeholder requirements into clear, actionable technical designs and implementation plans
  • Modernize and optimize data and ML workflows by implementing best practices for scalability, reliability, maintainability, and security, while contributing effectively within agile, fast-paced development environments supporting iterative delivery and continuous improvement
  • Demonstrate a strong willingness to learn new technologies, adapt to evolving requirements, share knowledge across teams, and travel and work on-site with clients as project needs require

Preferred Qualifications:
  • Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
  • Experience with version control systems (Git, SVN, Mercurial) and collaborative programming practices (pair programming, code reviews), as well as containerization and environment management (venv, conda)
  • Experience with platforms and technologies such as Databricks and AWS, including prior Databricks experience in Unity Catalog, PySpark, Spark SQL, and Jobs
  • Familiarity with vector, object, and document-based data storage systems, and experience implementing data engineering solutions in remote or austere environments, including use of bash and command-line tools
  • Experience with business intelligence and data visualization tools (Power BI, Tableau), and understanding of the data analytics lifecycle (e.g., CRISP-DM) and how engineering supports downstream analytics and ML use case

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.