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Healthcare Data Analytics Engineer Jobs (NOW HIRING)

Data Analytics Engineer

Austin, TX · On-site

$113K - $136K/yr

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making ...

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Data Analytics Engineer

Glen Allen, VA

$106K - $127K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them * Design and build a single source of ...

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Data & Analytics Engineer

Bristol, VA · On-site

$93K - $112K/yr

Data Factory * Data Engineering * Data Warehouse * Real-Time Analytics * Lakehouse architecture * Establish and manage data ingestion, transformation, and orchestration pipelines from multiple ...

Data Analytics Engineer

Towson, MD · Hybrid

$109K - $131K/yr

Analytics Engineer Seeking a highly skilled and motivated Analytics Engineer to join a dynamic team. As a key contributor, you will be responsible for assisting with creation of automated data ...

Data Analytics Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Analytics Engineer Seeking a highly skilled and motivated Analytics Engineer to join a dynamic team. As a key contributor, you will be responsible for assisting with creation of automated data ...

Data Analytics Engineer

Towson, MD · Hybrid

$109K - $131K/yr

Analytics Engineer Seeking a highly skilled and motivated Analytics Engineer to join a dynamic team. As a key contributor, you will be responsible for assisting with creation of automated data ...

Data & Analytics Engineer

San Leandro, CA

$129K - $155K/yr

Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location. WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME SUMMARY The Data & Analytics Engineer is ...

An Entry Level Aerospace Data Analytics Engineer job is currently available at Belcan in Windsor ... Benefits offered may include health care, dental, vision, life insurance; 401(k); education ...

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

... with genuine care, warmth and respect. AmaWaterways fosters a collaborative environment both ... Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our ...

An Entry Level Aerospace Data Analytics Engineer job is currently available at Belcan in Windsor ... Benefits offered may include health care, dental, vision, life insurance; 401(k); education ...

Data Analytics Engineer

Somerville, MA · On-site

$125K - $150K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You ... Health: A fully funded, top-tier health benefits plan, including vision and dental coverage, fully ...

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Showing results 1-20

Healthcare Data Analytics Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Sep 10, 2026, the average yearly pay for healthcare data analytics 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 does a healthcare data analytics engineer do?

A Healthcare Data Analytics Engineer is responsible for designing, developing, and maintaining data systems that help healthcare organizations collect, process, and analyze health-related data. They work with large datasets from electronic health records, insurance claims, and medical devices to extract insights that can improve patient outcomes, reduce costs, and support clinical decision-making. Their work often involves programming, data modeling, and collaborating with healthcare professionals to translate data into actionable solutions.

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

A Healthcare Data Analytics Engineer should possess strong analytical skills, knowledge of healthcare data standards (like HL7 or FHIR), and a background in computer science, statistics, or a related field. Proficiency with data analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as familiarity with healthcare databases and privacy regulations (e.g., HIPAA), is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help translate complex data into actionable insights for clinical and business stakeholders. These competencies are essential to ensure data-driven decision-making, regulatory compliance, and improved patient outcomes within healthcare organizations.

What are some common challenges faced by healthcare data analytics engineers when working with sensitive patient data?

Healthcare Data Analytics Engineers frequently navigate challenges related to strict data privacy regulations, such as HIPAA compliance. Ensuring secure data storage, transmission, and access control is critical, and often requires collaborating closely with IT security teams. Additionally, managing large volumes of heterogeneous data from various electronic health record systems can make data cleaning and integration complex. Overcoming these challenges requires a strong understanding of both healthcare standards and advanced data engineering practices.

What is the difference between Healthcare Data Analytics Engineer vs Data Scientist in Healthcare?

AspectHealthcare Data Analytics EngineerData Scientist in Healthcare
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; knowledge of healthcare data standardsBachelor's or Master's in Data Science, Statistics, or related; often with healthcare domain knowledge
Work EnvironmentHealthcare organizations, hospitals, health tech companies; focus on data pipeline developmentResearch institutions, healthcare companies; focus on data analysis and modeling
Employer & Industry UsageUsed in health IT, electronic health records, and health data infrastructureApplied in clinical research, predictive modeling, and health outcomes analysis

While both roles require strong data skills and healthcare knowledge, Healthcare Data Analytics Engineers primarily focus on building and maintaining data pipelines and infrastructure, whereas Data Scientists in Healthcare analyze data to generate insights and models. The roles often overlap but differ in their core responsibilities and focus areas.

Is healthcare data analytics a good career?

Healthcare Data Analytics Engineers analyze medical data to improve patient outcomes and operational efficiency. The field offers strong job growth, competitive salaries, and opportunities to work with tools like SQL, Python, and healthcare databases. It requires technical skills, knowledge of healthcare systems, and often relevant certifications.

What cities are hiring for Healthcare Data Analytics Engineer jobs?

Cities with the most Healthcare Data Analytics Engineer job openings:

What states have the most Healthcare Data Analytics Engineer jobs?

States with the most job openings for Healthcare Data Analytics Engineer jobs include:

What are popular job titles related to Healthcare Data Analytics Engineer jobs?

For Healthcare Data Analytics Engineer jobs, the most frequently searched job titles are:

Infographic showing various Healthcare Data Analytics Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Analytics Engineer

Austin, TX • On-site

ADP, Inc.
Recruiting and Staffing Services • 10K+ employees

$113K - $136K/yr

Other

Posted 9 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Regular Technical Austin, TX, US

2 days ago Requisition ID: 2314

SUMMARY OF PURPOSE:

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making across the organization. This role bridges the gap between data engineering and business intelligence by transforming raw data into trusted, accessible, and actionable insights. The Data Analytics Engineer collaborates closely with business stakeholders, data analysts, IT teams, and leadership to deliver high-quality data solutions that support strategic objectives.

ESSENTIAL FUNCTIONS:
  • Design, develop, and maintain ETL/ELT processes for ingesting,transforming, and integrating data from multiple sources.
  • Build and optimize data pipelines to ensure data quality, reliability, and performance.
  • Develop and maintain enterprise data models, data warehouses, and data marts.
  • Monitor and troubleshoot data workflows and resolve data-related issues.
Analytics & Reporting
  • Create and maintain dashboards, reports, and self-service analytics solutions using modern BI tools.
  • Translate business requirements into scalable analytical solutions.
  • Develop KPIs, metrics, and reporting frameworks to measure business performance.
  • Support ad hoc data analysis and reporting requests.
Data Governance & Quality
  • Implement data quality controls and validation processes.
  • Ensure compliance with organizational data governance policies and security standards.
  • Maintain data dictionaries, metadata, and documentation.
  • Promote best practices for data management and analytics.
Collaboration & Business Partnership
  • Partner with business stakeholders to understand reporting and analytical needs.
  • Work closely with application teams and business process owners to improve data accessibility and usability.
  • Provide technical guidance and mentoring to analysts and other team members.
  • Present analytical findings and recommendations to leadership.
POSITION REQUIREMENTS - REQUIRED QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field.
  • 3+ years of experience in data engineering, analytics engineering, business intelligence, or related roles.
  • Strong SQL development and database management skills.
  • Experience with data warehouse technologies and cloud data platforms.
  • Proficiency in Python, SQL, or other data processing languages.
  • Experience with BI and visualization tools such as Sigma, Tableau, or similar platforms.
  • Knowledge of ETL/ELT frameworks and data integration methodologies.
PREFERRED QUALIFICATIONS:
  • Experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, or Snowflake.
  • Understanding of data governance and master data management practices.
  • Experience working in Agile environments.
  • Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering technologies.
KEY COMPETENCIES:
  • Analytical thinking and problem-solving
  • Data modeling and architecture
  • Stakeholder communication
  • Process improvement
  • Project management and prioritization
  • Collaboration and teamwork
SUCCESS MEASURES:
  • Delivery of reliable and scalable analytics solutions.
  • Improvement in data quality and reporting accuracy.
  • Increased adoption of self-service analytics capabilities.
  • Timely delivery of data and analytics initiatives aligned with business goals.
PHI ACCESS:
  • This position requires access to PHI due to reporting and data content
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About ADP

Sourced by ZipRecruiter

We're designing a better way to work, so you can achieve what you're working for. Consistently named one of the 'Most Admired Companies' by FORTUNE® Magazine, and recognized by DiversityInc® as one of the 'Top 50 Companies for Diversity,' ADP works with more than 740,000 organizations across the globe to help their people work smarter, embrace new challenges, and unleash their talent. "Always Designing for People" means we're creating platforms that will transform how great work gets done, so together we can unlock a world of opportunity.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

Roseland, NJ, US

Year founded

1949

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