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It Data Engineer Jobs (NOW HIRING)

$114K - $137K/yr

Job Summary Health IT Data Engineer Job Summary Aptive is seeking a Health IT Data Engineer to provide advanced data engineering and analytics infrastructure support for the ICE Health Service Corps ...

Health IT Data Engineer

$117K - $140K/yr

Job Summary Health IT Data Engineer Job Summary Aptive is seeking a Health IT Data Engineer to provide advanced data engineering and analytics infrastructure support for the ICE Health Service Corps ...

OR · On-site

$114K - $137K/yr

JOB SUMMARY IT Data Engineer III is a senior-level position on the Enterprise Data team, responsible for leading the design, development, and support of complex enterprise data solutions across ...

IT Data Engineer

Janesville, WI · On-site +1

$72K - $90K/yr

Bachelor's degree in computer science, Information Technology, or a related field. * 1-3 years' data engineering experience * Experience with data modeling, database design, and optimization

IT Data Engineer

Janesville, WI · On-site

$72K - $90K/yr

Bachelor's degree in computer science, Information Technology, or a related field. * 1-3 years' data engineering experience * Experience with data modeling, database design, and optimization

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate ...

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate ...

Health IT Data Engineer

Continental, OH · On-site

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate ...

Job Title: IT Data Engineer (Entry) Location: Creve Coeur, MO 63167 Duration: 12 Months Job Type: Temporary Assignment Work Type: Hybrid Position Overview: We are seeking a highly motivated data ...

Senior IT Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Senior IT Data Engineer Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Must apply by ...

Senior IT Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Senior IT Data Engineer Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Must apply by ...

Senior IT Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Senior IT Data Engineer Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Must apply by ...

Senior IT Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Senior IT Data Engineer Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Must apply by ...

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It Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do it data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for it 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 It Data Engineer vs Data Analyst?

AspectIt Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or Google CloudBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentBuilds data pipelines, manages databases, works with cloud platformsAnalyzes data, creates reports, visualizations, and insights
Employer & Industry UsageTech companies, finance, healthcare, any data-driven industryMarketing, finance, retail, and other sectors requiring data insights

While both roles work with data, It Data Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges IT Data Engineers face when integrating data from multiple sources?

IT Data Engineers often encounter challenges such as data inconsistency, varying data formats, and differing data quality standards when integrating information from multiple sources. Addressing these issues requires strong data cleansing skills and experience with ETL (Extract, Transform, Load) tools to harmonize datasets. Collaboration with business analysts and source system owners is crucial to understand data context and resolve integration conflicts efficiently. Successfully managing these challenges ensures reliable, high-quality data pipelines for downstream analytics.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but it is generally considered a well-paying role in the tech field.

What are the key skills and qualifications needed to thrive as an IT Data Engineer, and why are they important?

To thrive as an IT Data Engineer, you need expertise in data modeling, database management, ETL processes, and proficiency in languages such as SQL, Python, or Scala, usually supported by a degree in computer science or a related field. Familiarity with big data tools like Hadoop, Spark, and cloud platforms (AWS, Azure, Google Cloud), as well as relevant certifications, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help data engineers collaborate with teams and ensure data integrity. These skills are essential for designing scalable data solutions, maintaining data quality, and supporting organizational decision-making.

What engineers make $300,000 a year?

Senior data engineers, including those working in IT, can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, big data tools, and certifications. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries.

What engineer makes $500,000 a year?

Senior data engineers or cloud infrastructure engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and strategic importance to organizations.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their expertise is crucial for integrating AI tools effectively. The role continues to evolve, emphasizing skills in data architecture, programming, and AI integration.

What are IT Data Engineers?

IT Data Engineers are professionals who design, build, and maintain systems and infrastructure that collect, store, and process large volumes of data. They work with databases, data warehouses, and data pipelines to ensure data is reliable, accessible, and ready for analysis by data scientists and analysts. Their responsibilities include optimizing data workflows, integrating data from multiple sources, and ensuring data security and quality. IT Data Engineers often use programming languages such as Python, SQL, or Java and tools like Hadoop, Spark, and cloud platforms.
More about It Data Engineer jobs
Infographic showing various It Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Health IT Data Engineer

$114K - $137K/yr

Full-time

Posted 4 days ago


Aptive Environmental rating

5.6

Company rating: 5.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

29th of 34 rated pest control companies


Job description

Job Summary

Health IT Data Engineer

Job Summary

Aptive is seeking a Health IT Data Engineer to provide advanced data engineering and analytics infrastructure support for the ICE Health Service Corps (IHSC) Health Information Technology Unit (HITU) IT modernization and enterprise data environments. This role designs, builds, configures, and maintains secure and reliable data pipelines, data structures, and integration workflows that enable analytics, reporting, and operational insight across IHSC clinical, operational, and administrative domains.

The Data Engineer performs scripted development using tools such as Python, SQL, and ETL/ELT frameworks; optimizes data models and schemas for reporting; and implements data validation, reconciliation, and quality control processes. All development, configuration, and implementation activities are conducted within authorized Government-managed platforms and environments under Government oversight, direction, and approval, with written authorization from the COR or designated Government technical representative required prior to deployment to production environments. This is a designated Key Personnel position under the contract.

The ideal candidate combines strong data engineering fundamentals with healthcare or enterprise data experience and can collaborate with Data Strategists, Data Analysts, and Solutions Developers to enable analytics and reporting while ensuring compliance with federal security, privacy, and regulatory requirements.

Primary Responsibilities
  • Design, develop, and maintain scalable data pipelines to ingest, transform, validate, and store data from multiple internal and external systems.
  • Support enterprise analytics platforms by optimizing data models, schemas, and performance for reporting and dashboarding.
  • Implement data validation, reconciliation, and quality control processes to ensure accuracy, completeness, and reliability of IHSC data assets.
  • Support integration of healthcare, operational, and administrative data sources in alignment with enterprise data strategy.
  • Collaborate with Data Strategists, Data Analysts, and Solutions Developers to enable analytics use cases and reporting requirements.
  • Maintain documentation for data architectures, pipelines, transformations, and dependencies.
  • Support data governance initiatives, including metadata management, auditability, and lineage tracking.
  • Ensure data solutions comply with federal security, privacy, and regulatory requirements.
  • Assist with troubleshooting data issues and supporting operational continuity.
Minimum Qualifications
  • Advanced experience with SQL, relational databases, and data modeling.
  • Experience designing ETL/ELT pipelines and data integration workflows, including scripted development (e.g., Python).
  • Familiarity with cloud-based analytics and data platforms.
  • Understanding of healthcare or enterprise data environments.
  • Strong analytical, problem-solving, and documentation skills.
  • Ability to collaborate with technical and non-technical stakeholders.
  • Ability to work within Government oversight and approval processes, including obtaining written authorization prior to production deployment.
  • Ability to obtain and maintain a DHS/ICE fitness determination (public trust) and execute a DHS Non-Disclosure Agreement.
  • Legal authorization to work in the U.S.
Desired Qualifications
  • Experience supporting DHS, ICE, IHSC, or other federal healthcare IT or EHR modernization (EHRM) programs.
  • Experience with healthcare data domains and integration of clinical, operational, and administrative data sources.
  • Experience with data governance, metadata management, and data lineage tracking.
  • Familiarity with Power BI, Tableau, and enterprise analytics platforms.
  • Experience building data solutions within Government-managed or otherwise controlled/regulated environments.

About Aptive

Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, Aptive supports federal clients across Veterans Affairs, Defense, Homeland Security, Transportation and other mission areas.

Aptive specializes in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for the people who rely on government services every day.

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class. Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

About Aptive

About Aptive. Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation. We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day. Founded: 2012. Employees: 300+ nationwide.

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class. Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply. About Aptive: Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation. We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day. Founded: 2012. Employees: 300+ nationwide.

Employment Type: FULL_TIME

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