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Healthcare Data Analytics Engineer Jobs in Texas

Healthtronics

Data Analytics Engineer

Austin, TX · On-site

$108K - $129K/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 ...

HealthTronics, Inc.

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 ...

ADP, Inc.

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 ...

Xpect Solutions

Data Analytics Engineer

Crystal City, TX

$99K - $119K/yr

Data Analytics Engineer ID: 1000000059 Location: Crystal City, VA Clearance Level: Obtain Public ... healthy, happy, energized and moving forward. Our philosophy is simple - empower our employees with ...

DEXTER TECHNOLOGIES INC

Data Analytics Engineer

Houston, TX · On-site

$109K - $131K/yr

Health insurance * Vision insurance Hi, We are actively seeking qualified candidates for the following position for our client, who is an industry leader: Data Analytics Engineer Location: Houston ...

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site

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 ...

Deloitte

Data & Analytics Engineer

Austin, TX · On-site

$113K - $136K/yr

As an experienced Data & Analytics Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an ...

Deloitte

Data & Analytics Engineer

Austin, TX · Hybrid

$113K - $136K/yr

As an experienced Data & Analytics Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an ...

Care Continuity

Healthcare Analytics Consultant

Dallas, TX · On-site

$100K - $130K/yr

This role combines healthcare analytics, data investigation, customer collaboration, and business insight generation. You will work closely with product, analytics engineering, customer success, and ...

Apple

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

Apple

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

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Healthcare Data Analytics Engineer information

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.
Infographic showing various Healthcare Data Analytics Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Analytics Engineer

Austin, TX • On-site

Healthtronics
Health Care and Social Assistance • 501 - 1,000 employees
Learn more about Healthtronicsexternal

$108K - $129K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

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:

Data Engineering & Integration 

  • 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 
  • Attention to detail 
  • Project management and prioritization 
  • Collaboration and teamwork 

 

SUCCESS MEASURES: 

  • Delivery of reliable and scalable analytics solutions. 
  • Improvement in data quality and reporting accuracy. 
  • Reduction in manual reporting efforts. 
  • 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