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Remote Healthcare Data Engineer Jobs (NOW HIRING)

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT ... Strong understanding of healthcare data systems and experience leading data engineering teams

Apex Informatics

Data Engineer

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT ... Kafka, Tableau • Strong understanding of healthcare data systems and experience leading data ...

Interwell Health

Staff Data Engineer

Interwell Health is a kidney care management company that partners with physicians on its mission ... remote (ET or CT work hours preferred) Preferred * Experienced in implementing and supporting Epic ...

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Power BI and Tableau development experience. * Healthcare data integration experience. * Knowledge ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... a fully remote environment. Preferred Qualifications * Experience with healthcare claims ...

Privia Health

Data Engineer

$77K - $90K/yr

This role works directly with healthcare data (payer attribution files, claims, eligibility ... remote workers only, not applicable for onsite/in office work): In order to successfully work ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... a fully remote environment. Preferred Qualifications * Experience with healthcare claims ...

MedReview

Data Engineer

Manhattan, NY · Remote

$105K - $115K/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 ...

Scalepex

Healthcare Data Analyst

Dallas, TX · Remote

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 ...

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site +1

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 ...

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/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 ...

Medisolv, Inc

$99K - $119K/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 ...

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All JobsHealthcare Data Engineer JobsRemote Healthcare Data Engineer Jobs

Remote Healthcare Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 7, 2026, the average yearly pay for remote healthcare 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 is the difference between Remote Healthcare Data Engineer vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Data EngineerRemote Healthcare Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization
Work EnvironmentDevelops data infrastructure, manages pipelines, collaborates with engineersInterprets data, creates reports, supports decision-making
Industry UsageDesigns data systems for healthcare organizations, research institutionsAnalyzes healthcare data for insights, reporting, and compliance
Common Search/ComparisonOften compared for technical roles in healthcare data managementRelated but focuses on analysis rather than infrastructure

The main difference is that Remote Healthcare Data Engineers build and maintain data systems and pipelines, while Remote Healthcare Data Analysts interpret data and generate reports. Both roles require healthcare industry knowledge, but engineers focus on data infrastructure, whereas analysts focus on data insights.

What skills and qualifications are needed to thrive as a remote healthcare data engineer?

To thrive as a Remote Healthcare Data Engineer, you need expertise in data architecture, database management, and healthcare data standards, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (e.g., AWS or Azure), and knowledge of healthcare-specific systems such as HL7 or FHIR is crucial. Strong problem-solving skills, attention to detail, and effective remote communication are standout soft skills in this role. These competencies ensure secure, accurate handling of sensitive health information and support effective data-driven decisions in healthcare organizations.

How does a remote healthcare data engineer collaborate with clinical and IT teams to ensure data accuracy and security?

Remote Healthcare Data Engineers frequently work cross-functionally with clinical staff, IT professionals, and data analysts to design, implement, and maintain secure data pipelines. They participate in virtual meetings to understand data requirements, clarify data definitions, and ensure compliance with healthcare regulations such as HIPAA. Collaboration tools and secure communication platforms are essential to share updates, resolve issues, and document workflows. This teamwork helps ensure that data is accurate, accessible, and protected, ultimately supporting improved patient outcomes and operational efficiency.

What does a remote healthcare data engineer do?

A Remote Healthcare Data Engineer designs, builds, and maintains data systems that collect, store, and process healthcare data, all while working from a remote location. They ensure that large volumes of medical records, patient information, and other healthcare-related data are organized and secure. Their work supports healthcare providers and researchers in making data-driven decisions, improving patient outcomes, and ensuring compliance with privacy regulations. Remote Healthcare Data Engineers often collaborate with data scientists, analysts, and IT teams to create efficient and scalable data pipelines tailored to the unique needs of healthcare organizations.
More about Remote Healthcare Data Engineer jobs
What cities are hiring for Remote Healthcare Data Engineer jobs? Cities with the most Remote 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:
What states have the most Remote Healthcare Data Engineer jobs? States with the most job openings for Remote Healthcare Data Engineer jobs include:
What job categories do people searching Remote Healthcare Data Engineer jobs look for? The top searched job categories for Remote Healthcare Data Engineer jobs are:
Remote Healthcare Data Engineer jobs near you
Infographic showing various Remote Healthcare Data Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Lead Data Engineer - Healthcare Data & Audience Applications

Zeta Global

Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 10 days ago

Job description

WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
ROLE OVERVIEW
Zeta Global is seeking a Lead Data Engineer to build and scale healthcare-focused applications and data systems that power audience intelligence, activation, measurement, and reporting across both HCP and DTC workflows.
This is a hands-on technical leadership role operating at the intersection of distributed systems, data engineering, and healthcare domain constraints. You will design and deliver systems that integrate identity, audience data, and campaign performance while meeting strict requirements for privacy, compliance, and reliability.
The ideal candidate brings strong system design depth, experience building data-intensive platforms, and the ability to lead through architecture and execution in regulated environments.
What You'll Build
  • Applications supporting HCP and patient / direct-to-consumer (DTC) audience discovery, segmentation, and activation
  • Scalable data pipelines for ingestion, normalization, and enrichment of healthcare datasets
  • Identity resolution and data linkage services across fragmented data sources
  • Reporting, attribution, and measurement systems connecting campaigns to outcomes
  • APIs and services enabling downstream activation, analytics, and partner integrations
  • Healthcare Cloud and data-mapping architecture across claims/Rx, NPI/HCP, patient, media-exposure, brand, and connector datasets.
  • Healthcare-specific semantic cubes, governed views, data contracts, and domain APIs consumed by Vertical Apps; front-end applications should consume stable domain APIs rather than query raw stores or Cube directly.
  • Identity resolution, match-rate measurement, medical-code mapping, and approved joins under CERT/HIPAA rules.
  • Foundational data products for NPI onboarding, PLD reporting, script reporting, HCP/Patient intelligence, journeys, and Next Best Action.

Key Responsibilities
  • Define and maintain the healthcare data architecture, interface contracts, ADRs, schemas, and staged delivery plan.
  • Lead ingestion and transformation patterns across Snowflake, Athena/S3, MySQL, and approved healthcare stores without duplicating shared platform capabilities.
  • Partner with Data Cloud on source certification, partner-feed contracts, identity validation, raw-zone ownership, and data availability SLAs.
  • Design healthcare base/vertical models and published/governed views, with row/member-level controls, account scoping, masking, and backward-compatible versioning.
  • Set SLOs and operational readiness criteria; ensure dashboards, alerts, runbooks, rollback paths, and incident ownership are in place before release.
  • Lead design and code reviews, mentor the Senior Data Engineer, and coordinate dependencies across the pod.
  • Support compliance evidence, annual audits, US data-residency controls, and stoplight decisions: Start, Stop, or Requires CERT.
  • Apply privacy-by-design principles across all systems handling PHI/PII
  • Partner with Product and Data teams to translate healthcare requirements into scalable architectures
  • Drive engineering best practices across testing, CI/CD, code quality, and operational excellence

Engineering Expectations
  • Strong experience designing distributed systems, including microservices and event-driven architectures
  • Deep understanding of data modeling, storage systems (OLTP and OLAP), and data-processing frameworks
  • Experience with streaming and batch processing technologies, such as Kafka, Spark, Flink, or similar tools
  • Proficiency in backend development using Python, Java, or Ruby, as well as API design using REST or gRPC
  • Experience with workflow orchestration tools, such as Apache Airflow
  • Experience working with data warehouses and lakehouse platforms, such as Snowflake, Databricks, or similar technologies
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code
  • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes
  • Experience implementing observability practices, including logging, metrics, and tracing, as well as reliability patterns
  • Strong understanding of performance optimization and scalability trade-offs

Healthcare & Domain Expectations
  • Experience working with HCP data (provider identity, targeting, segmentation)
  • Experience with patient / DTC data workflows and privacy-aware systems
  • Understanding of healthcare data ecosystems (claims, provider, or audience datasets)
  • Familiarity with identity graphs and data onboarding patterns
  • Experience building reporting or attribution systems tied to business outcomes
  • Strong grasp of HIPAA, PHI/PII, and regulated data handling requirements
  • Technical standards for lineage, data quality, access control, masking, retention, auditability, observability, and cost.

Qualifications
  • 8+ years of data engineering experience with increasing technical ownership
  • Expert SQL and strong Python, Java; experience with batch and streaming patterns, orchestration, testing, and schema evolution.
  • Proven track record of building and scaling data-intensive or distributed systems
  • Experience working in regulated environments (healthcare strongly preferred)
  • Strong system design and architecture skills
  • Ability to lead technically while remaining hands-on in implementation
  • Strong collaboration skills across engineering, product, and data teams

Preferred
  • Experience with healthcare data providers or identity ecosystems
  • Background in AdTech, MarTech, or audience/data platforms
  • Experience with privacy-enhancing technologies (tokenization, clean rooms)
  • Exposure to ML/AI-driven data products or analytics systems

BENEFITS & PERKS
  • Unlimited PTO
  • Excellent medical, dental, and vision coverage
  • Employee Equity
  • Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE
The salary range for this role is $180,000 - $200,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
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