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Remote Healthcare Data Engineer Jobs in Rochester, NY

Develop and support cloud-based data pipelines, platform components, and environment setup ... Experience in consulting, including experience serving healthcare industry clients The wage range ...

Data Entry Assistant (Remote)

Rochester, NY · Remote

$16.50 - $22/hr

About the job Data Entry Assistant (Remote) Description The Data Entry Assistant will serve as an ... Health agencies) and manage scan information within the care management platform. Establish ...

Senior Database Engineer

Rochester, NY · On-site +1

$113.50K - $177.60K/yr

This role requires deep understanding of data architecture,data engineering, data analysis ... For remote locations or positions open to multiple locations, the pay range may reflect several US ...

Experience in consulting, including experience serving healthcare industry clients The wage range ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

Data Scientist

Rochester, NY · On-site +1

$86.60K - $132.70K/yr

We offer much more than just health care benefits. Our innovative programs and resources are ... For remote locations or positions open to multiple locations, the pay range may reflect several US ...

Project Engineer

Rochester, NY · On-site +1

$77K - $111.50K/yr

... and healthcare customers across the U.S., Canada, the U.K., and Europe. At Ameresco, we show the ... Experience analyzing utility data, preparing technical and financial reports, and supporting ...

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Remote Healthcare Data Engineer information

See Rochester, NY salary details

$43.9K

$128K

$175.1K

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

As of May 29, 2026, the average yearly pay for remote healthcare data engineer in Rochester, NY is $127,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

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

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 typically 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.

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 are popular job titles related to Remote Healthcare Data Engineer jobs in Rochester, NY? For Remote Healthcare Data Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What cities near Rochester, NY are hiring for Remote Healthcare Data Engineer jobs? Cities near Rochester, NY with the most Remote Healthcare Data Engineer job openings:

Remote Healthcare Data Analyst: Analytics & Claims

Easy Recruiter

Rochester, NY • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

A data analytics firm is seeking a Healthcare Data Analyst to work remotely. The successful candidate will analyze healthcare data, support claims auditing, and collaborate with clinical teams to enhance data intelligence. Required qualifications include a Bachelor's degree in a relevant field and at least three years of experience analyzing healthcare data, preferably from a payer setting.

Proficiency in Tableau, SQL, and Microsoft Office tools is essential to thrive in this role. #J-18808-Ljbffr