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Director Healthcare Data Engineer Jobs (NOW HIRING)

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

Job Requirements Education: Master's or Bachelor's degree in Engineering (IT, Electronics ... Experience with healthcare data and health forms. Analytics: Experience in advanced analytics.

Senior Healthcare Data Engineer

$105K - $143K/yr

Keep abreast of the latest trends and technologies in data engineering, healthcare analytics, and ... interaction and self-directed work. * Communication Skills: Excellent written and verbal ...

Senior Healthcare Data Engineer

Portland, ME · On-site +1

$108K - $147K/yr

Keep abreast of the latest trends and technologies in data engineering, healthcare analytics, and ... interaction and self-directed work. * Communication Skills: Excellent written and verbal ...

DATA ENGINEER

Manhattan, NY

$126K - $151K/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 ...

Health Data Engineer - Mid

Tysons, VA

$115K - $139K/yr

Health Data Engineer - Mid Job Locations US-VA-Tysons Job ID 2026-13929 # of Openings 1 Benefit ... With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ...

Data Engineer

Chesterfield, MO · On-site

$113K - $136K/yr

Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join ... Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data ...

Data Engineer

Detroit, MI · On-site

$108K - $129K/yr

The Data Engineer is responsible for enabling secure exchange of healthcare data, particularly involving State of Michigan CHAMPS systems for direct billing, while ensuring strict adherence to HIPAA ...

Healthcare Data Architect

Dallas, TX

$63 - $81/hr

Design and support of modern data platforms that enable AI/ML pipelines, including feature engineering and advanced analytics workflows * Knowledge of AI/ML frameworks and healthcare AI use cases ...

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

... healthcare datasets. The ideal candidate will have a strong background in data engineering ... principles, experience with big data technologies, and a keen understanding of the unique ...

Lead Data Engineer

$117K - $140K/yr

They are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative, modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud ...

Data Engineer II

Baltimore, MD

$113K - $136K/yr

Additionally, they develop and maintain documentation for data engineering processes, systems, and data models, and ensure compliance with healthcare data-related privacy and security regulations.

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Director Healthcare Data Engineer information

See salary details

$73K

$194.7K

$254K

How much do director healthcare data engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for director healthcare data engineer in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director Healthcare Data Engineer, and why are they important?

To thrive as a Director Healthcare Data Engineer, you need a deep understanding of data architecture, healthcare data standards (such as HL7 and FHIR), and advanced analytics, often supported by a degree in computer science or a related field. Expertise with data warehousing tools, cloud platforms (like AWS or Azure), and certifications in data engineering or healthcare IT (such as CHDA or CPHIMS) are commonly required. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional teams and align technical solutions with organizational goals. These skills and qualities are crucial for ensuring secure, efficient, and compliant data systems that support high-quality healthcare delivery and informed decision-making.

What are some common challenges faced by a Director Healthcare Data Engineer when leading teams in a healthcare setting?

A Director Healthcare Data Engineer often encounters challenges such as integrating disparate data sources from various hospital systems, ensuring compliance with strict healthcare regulations like HIPAA, and maintaining data security. Leading a team also involves balancing project priorities and communicating effectively with both technical staff and non-technical stakeholders, such as clinicians and administrators. Staying current with evolving health IT standards and fostering a culture of continuous learning are also key aspects of the role.

What does a Director Healthcare Data Engineer do?

A Director Healthcare Data Engineer leads teams responsible for designing, building, and maintaining data systems that support healthcare organizations. They oversee data infrastructure, ensure data quality and security, and collaborate with stakeholders to enable advanced analytics and reporting. Their work helps healthcare providers make data-driven decisions to improve patient outcomes and operational efficiency. Additionally, they stay updated on regulations like HIPAA to ensure compliance when handling sensitive patient information.
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What cities are hiring for Director Healthcare Data Engineer jobs? Cities with the most Director Healthcare Data Engineer job openings:
What are the most commonly searched types of Healthcare Data Engineer jobs? The most popular types of Healthcare Data Engineer jobs are:
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Infographic showing various Director Healthcare Data Engineer job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 65% Full Time, 30% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.

Healthcare Data Engineer

1 point system

New York, NY • Remote

$117K - $140K/yr

Contractor

Posted 13 days ago


Job description

You will work with the development team to build and maintain our legacy claim auditing system. You will analyze the needs and the environment to ensure the solutions you develop consider the current architecture and operating environment, as well as future functionality and enhancements.

Job Duties & Responsibilities

Domain Expertise: Maintain a strong knowledge of medical claims, member data, and provider data.

Agile Development: Participate actively in Agile-based projects.

System Maintenance: Modify existing programs to align with new standards.

Testing & Deployment:

Conduct unit testing of all developed programs.

Create migration packages for system testing, user testing, and implementation.

Job Requirements

Education: Master’s or Bachelor’s degree in Engineering (IT, Electronics, Communication, Computer Science, or Information Systems).

Database Expertise: Extensive experience with large datasets and relational databases, specifically Microsoft SQL Server.

Technical Stack: Proficiency in SQL, PL/SQL, T-SQL, Hadoop, Python, and Java.

Optimization: Hands-on experience in SQL optimization and tuning using SQL Profiler and Query Execution Plans.

Methodology & Lifecycle:

In-depth understanding of the SDLC.

Experience working in Agile environments.

Data Operations:

Experience with ETL processes and QA within a SQL environment.

Experience addressing operational data issues and ensuring optimal performance.

Healthcare Domain: Experience with healthcare data and health forms.

Analytics: Experience in advanced analytics.

Required Skills

Professionalism: Handles confidential information with sensitivity and maintains high ethical standards.

Interpersonal: Develops positive working relationships and possesses strong communication skills.

Teamwork: Shares ideas and information freely; proactively assists colleagues unprompted.

Mindset: Passionate about technology, self-motivated, and committed to continuous learning.

Desired Skills & Experience

Advanced Frameworks: Knowledge of SAFe (Scaled Agile Framework) or other Agile frameworks.

Big Data Tech: Experience with PySpark and Cloudera Hadoop.

Skills & Competencies

Communication: Excellent verbal and written communication skills.

Adaptability: Strong organizational skills with the ability to adapt to rapidly changing priorities and workloads.

Autonomy: Ability to work well independently and maintain focus in a highly dynamic work environment.

Global Collaboration: Comfort working with remote team members located in the US, India, or other geographies.