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Healthcare Data Engineer Jobs in Baltimore, MD (NOW HIRING)

INTELLIPLACERS, LLC

AWS Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Data Engineer Location: Baltimore City, MD (Hybrid) Duration: 12+ months project with 1 one-year ... Optimize partitioning, indexing, and metadata for fast query performance. Healthcare Data ...

Medisolv, Inc.

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 ...

Blend360

Lead Data Engineer

Columbia, MD

$125K - $160K/yr

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

Blend360

Lead Data Engineer

Columbia, MD · On-site +1

$125K - $160K/yr

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

Blend360

Lead Data Engineer

Columbia, MD

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

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that ... and government healthcare clients. This role is responsible for building, maintaining, and ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

... healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasets-enabling downstream analytics ...

Global Alliant Inc

AI Engineer

Baltimore, MD · On-site

Strong knowledge of healthcare data, analytics, and data engineering best practices. * Experience with Agile/Scrum software development methodologies. * Familiarity with Responsible AI, AI governance ...

Global Alliant Inc

AI Engineer

Baltimore, MD · Remote

Strong knowledge of healthcare data, analytics, and data engineering best practices. * Experience with Agile/Scrum software development methodologies. * Familiarity with Responsible AI, AI governance ...

Global Alliant Inc

AI Engineer

Baltimore, MD · Remote

Strong knowledge of healthcare data, analytics, and data engineering best practices. * Experience with Agile/Scrum software development methodologies. * Familiarity with Responsible AI, AI governance ...

Pwc

Payer Healthcare Data Scientist, Manager

Baltimore, MD · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Booz Allen Hamilton

Data Engineer

Fort George G Meade, MD · On-site

$77K - $176K/yr

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... care. Our recognition awards program acknowledges employees for exceptional performance and ...

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All JobsHealthcare Data Engineer JobsHealthcare Data Engineer Jobs in Baltimore, MD

Healthcare Data Engineer information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

How much do healthcare data engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for healthcare data engineer in Baltimore, MD is $128,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,600.00 per year, depending on experience, location, and employer.

What is a healthcare data engineer?

A Healthcare Data Engineer is responsible for designing, building, and maintaining data infrastructure in the healthcare industry. They work with large datasets from electronic health records (EHRs), medical devices, and other sources to ensure data is stored, processed, and accessed efficiently. Their role includes developing data pipelines, ensuring compliance with healthcare data regulations (such as HIPAA), and optimizing data for analytics and machine learning. By enabling secure and efficient data management, Healthcare Data Engineers help improve patient care, streamline operations, and support medical research.

What are some typical projects or challenges a healthcare data engineer might face in their day-to-day work?

As a Healthcare Data Engineer, you may work on projects such as designing data pipelines to aggregate data from multiple EHR systems, ensuring data integrity and security throughout the process. A common challenge in this role is working with complex, sensitive datasets that must remain compliant with healthcare privacy regulations while still being accessible and useful for analysis. You’ll likely collaborate closely with data scientists, clinicians, and IT teams to understand data requirements and optimize system performance. Troubleshooting data quality issues and continuously improving data architecture are regular tasks, making adaptability and continuous learning important for ongoing success.

What are the key skills and qualifications needed to thrive as a healthcare data engineer, and why are they important?

To thrive as a Healthcare Data Engineer, you need a solid background in computer science, data modeling, and understanding of healthcare data standards, often supported by a relevant degree and experience with big data technologies. Proficiency in programming languages like SQL, Python or R, knowledge of data warehousing solutions, and familiarity with HIPAA regulations or health information systems are typically required, along with certifications such as AWS Certified Data Analytics or Certified Health Data Analyst (CHDA). Strong problem-solving abilities, attention to detail, and effective communication skills are highly valued for collaborating with cross-functional teams. These skills are essential for building secure, reliable data systems that support healthcare analytics and ensure regulatory compliance.

How do you become a healthcare data engineer?

To become a healthcare data engineer, one typically needs a bachelor's degree in computer science, data science, or a related field, along with experience in data management, programming languages like Python or SQL, and familiarity with healthcare data standards such as HL7 or FHIR. Gaining knowledge of healthcare regulations like HIPAA and obtaining relevant certifications can also enhance job prospects. Practical experience with data pipelines, cloud platforms, and database systems is essential for this role.

What are popular job titles related to Healthcare Data Engineer jobs in Baltimore, MD?

For Healthcare Data Engineer jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Engineer jobs in Baltimore, MD look for?

The top searched job categories for Healthcare Data Engineer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Healthcare Data Engineer jobs?

Cities near Baltimore, MD with the most Healthcare Data Engineer job openings:

Healthcare Data Engineer jobs near you
Infographic showing various Healthcare Data Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $128,891 per year, or $62 per hour.

AWS Data Engineer

Baltimore, MD • On-site

INTELLIPLACERS, LLC
See more jobs at INTELLIPLACERS, LLCexternal

$113K - $136K/yr

Other

Posted 5 days ago

Job description

Role: Data Engineer
Location: Baltimore City, MD (Hybrid)
Duration: 12+ months project with 1 one-year renewal option
Job Description:

Hands-On Data Pipeline Development

  • Design, code, and deploy ETL/ELT pipelines across bronze, silver, and gold layers of the Data Lakehouse.
  • Build ingestion pipelines for structured (SQL), semi-structured (JSON, XML), and unstructured data using PySpark/Python programming language using AWS Glue or EMR.
  • Implement incremental loads, deduplication, error handling, and data validation.
  • Actively troubleshoot, debug, and optimize pipelines for scalability and cost efficiency.

EDW & Data Lake Implementation

  • Develop dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting.
  • Build and maintain tables in Iceberg, Delta Lake, or equivalent OTF formats.
  • Optimize partitioning, indexing, and metadata for fast query performance.

Healthcare Data Integration

  • Build ingestion and transformation pipelines for EDI X12 transactions (837, 835, 278, etc.).
  • Implement mapping and transformation of EDI data with FHIR and HL7 frameworks.
  • Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data.

Data Quality, Security & Compliance

  • Develop automated validation scripts to enforce data quality and integrity.
  • Implement IAM roles, encryption, and auditing to meet HIPAA and CMS compliance standards.
  • Maintain lineage and governance documentation for all pipelines.

Collaboration & Delivery

  • Work closely with the Lead Data Engineer, analysts, and data scientists to deliver pipelines that support enterprise-wide analytics.
  • Actively contribute to CI/CD pipelines, Infrastructure-as-Code (IaC), and automation.
  • Continuously improve pipelines and adopt new technologies where appropriate.
Minimum Qualification:

Specialized experience: The candidate should have experience as data engineer or similar role with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable of distributed computing and parallel processing.

  • 3+ years hands-on experience in building, deploying, and maintaining data pipelines on AWS or equivalent cloud platforms.
  • Strong coding skills in Python and SQL (Scala or Java a plus).
  • Proven experience with Apache Spark (PySpark) for large-scale processing.
  • Hands-on experience with AWS Glue, S3, Redshift, Athena, EMR, Lake Formation.
  • Strong debugging and performance optimization skills in distributed systems.
  • Hands-on experience with Iceberg, Delta Lake, or other OTF table formats.
  • Experience with Airflow or other pipeline orchestration frameworks.
  • Practical experience in CI/CD and Infrastructure-as-Code (Terraform, CloudFormation).
  • Practical experience with EDI X12, HL7, or FHIR data formats.
  • Strong understanding of Medallion Architecture for data lake houses.
  • Hands-on experience building dimensional models and data warehouses.
  • Working knowledge of HIPAA and CMS interoperability requirements.

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