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Director Healthcare Data Engineer Jobs (NOW HIRING)

AI Data Engineer

New York, NY · 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 ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/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 ...

Data Engineer

Addison, TX · On-site

$110K - $133K/yr

Overview he Data Engineer will play a key role in acquiring, transforming, and integrating data ... Experience in healthcare data domains is highly desired. Strong expertise in healthcare data ...

MN · On-site

Collaborate with Data Managers, Data Integration Leads, Data Engineers, and business stakeholders ... Strong experience with Medicaid, Medicare, and Commercial healthcare datasets; Medicaid experience ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Develop scalable frameworks to ingest diverse healthcare data sources (EDI, claims, clinical notes ... ML Engineering: Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow ...

Data Engineer

$117K - $140K/yr

The ideal candidate is a technically rigorous and self-directed data engineer who thrives in complex, multi-source healthcare data environments and takes pride in writing clean, well-documented code ...

You'll work closely with teammates, engineering partners, and operational stakeholders to ... analysis, data analysis, and/or process improvement. * 2+ years of experience in the healthcare ...

You'll work closely with teammates, engineering partners, and operational stakeholders to ... analysis, data analysis, and/or process improvement. * 2+ years of experience in the healthcare ...

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA ... direct hand in shaping the tools, processes, and architecture that power our data platform.

Data Engineer

Columbia, MD · On-site

$111K - $133K/yr

Medisolv, a national leader in healthcare quality data management solutions, is seeking a Data Engineer/Analyst to join our growing team. We empower over 1,800 hospitals and 15,000 providers with our ...

The ideal candidate is analytical, detail-oriented, comfortable working with data, and interested in developing their career in healthcare analytics and business intelligence. Duties and ...

Showing results 21-40

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 Sep 10, 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 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.

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

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.
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Infographic showing various Director Healthcare Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.

AI Data Engineer

New York, NY • Remote

$117K - $140K/yr

Full-time

Re-posted 25 days ago


Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse 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 challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements

Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

Why Join Us?

Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.