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It Data Engineer Jobs (NOW HIRING)

Consumer Direct Care Network

IT Data Engineer

OR · On-site +1

$114K - $137K/yr

JOB SUMMARY The IT Data Engineer I is an entry-level position within the Enterprise Data department, reporting to a designated team manager. This role supports various functions across data ...

CONSUMER DIRECT CARE NETWORK

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 ...

A-TEK Inc.

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 ...

Blain's Farm & Fleet

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

RecruitTalent LLC.

Senior IT Data Engineer

Washington, DC · On-site

$65 - $75/hr

Senior IT Data Engineer Personnel Qualifications * At least seven years of experience evaluating, working in production environments with cloud data systems, including RDBMs, data warehouses, data ...

A-TEK Inc.

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 ...

A-TEK Inc.

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 ...

xAI

Sr. IT Data Engineer

Palo Alto, CA · On-site

$135K - $260K/yr

At xAI, the IT Data Engineering team implements and supports applications to help internal customers meet their operational needs. We establish processes for continual improvement, guide ...

xAI

Sr. IT Data Engineer

Palo Alto, CA · On-site

$135K - $260K/yr

At xAI, the IT Data Engineering team implements and supports applications to help internal customers meet their operational needs. We establish processes for continual improvement, guide ...

xAI

Sr. IT Data Engineer

Palo Alto, CA

$135K - $260K/yr

At xAI, the IT Data Engineering team implements and supports applications to help internal customers meet their operational needs. We establish processes for continual improvement, guide ...

System One

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 ...

xAI

Sr. IT Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

The Sr. IT Data Engineer will implement and support applications to meet operational needs, while establishing processes for continual improvement and partnering with multiple stakeholders.

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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 7, 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
What job categories do people searching It Data Engineer jobs look for? The top searched job categories for It Data Engineer jobs are:
It Data Engineer jobs near you
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, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
IT Data Engineer

IT Data Engineer

Consumer Direct Care Network

OR • On-site, Remote

$114K - $137K/yr

Other

Posted 22 days ago

Consumer Direct Care Network rating

5.3

Company rating: 5.3 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

179th of 232 rated social care providers

Job description

Description & Requirements
Culture Vision at Consumer Direct Care Network

At CDCN, we strive to create aworkplace where everyone issupported and motivated to betheir best; we collaborate onshared goals and celebrate ouraccomplishments.

WE WELCOME YOU INTO A GROWING COMPANY

Consumer Direct Care Network is all about caring for people. Care is at our core, and we strive to live up to it every day. We provide services in 14 states across the USA, and our programs grow every year. We specialize in home and community-based services that support individuals with disabilities and older adults so they can remain in their homes and communities.


JOB SUMMARY

The IT Data Engineer I is an entry-level position within the Enterprise Data department, reporting to a designated team manager. This role supports various functions across data management, data governance, and the enterprise data warehouse, depending on team placement. Responsibilities may include designing and implementing ETL solutions, developing and monitoring data pipelines, conducting data validations, and supporting data quality and stewardship efforts. The position collaborates with cross-functional teams to ensure data is accurate, reliable, and aligned with business and compliance requirements.


JOB DUTIES

  • Supporting and maintaining the company's enterprise data systems and processes, including those used to store, validate, move, and monitor data across platforms
  • Designing and coding ETL (extract, transform, load) and other data pipeline solutions to support integrations and the enterprise data warehouse, leveraging appropriate tools based on team assignment and system needs
  • Conducting data validation and reconciliation tasks to ensure data quality, consistency, and integrity across systems and reporting layers
  • Assisting in data governance activities such as data quality monitoring, metadata management, and adherence to data standards and policies
  • Responding to stakeholder data requests, troubleshooting issues, and providing support for data systems, tools, and workflows across the enterprise
  • Participating in after-hours on-call rotations to resolve urgent data issues and ensure uptime for critical systems
  • Identifying and analyzing opportunities to improve data processing efficiency, scalability, and system performance
  • Collaborating across departments with engineers, analysts, and business partners to ensure solutions meet operational and analytical requirements
  • Performing other duties as assigned, including contributing to special projects or cross-functional initiatives based on organizational priorities

QUALIFICATIONS

  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, Mathematics, or a related field; equivalent experience will be considered
  • Up to 2 years of experience working with data platforms and data warehouses, including development and maintenance
  • Familiarity with data structures and formats such as ANSI X12, JSON, and XML
  • Understanding of ETL processes across data warehouses and integration systems
  • Proficiency with SQL and scripting for data manipulation and querying
  • Exposure to cloud platforms such as Azure, AWS, or Oracle Cloud
  • Experience with tools such as Azure Data Factory, Databricks, Azure DevOps, SSMS, SSIS, and SSRS
  • Strong communication skills, with the ability to convey technical information to non-technical stakeholders
  • Detail-oriented, with the ability to work efficiently in a fast-paced environment
  • Capable of working independently and collaboratively, with a proactive approach to tasks and problem-solving
  • Ability to work flexible and/or extended hours, if needed, to meet the job requirements
  • Employees must provide their own reliable internet if working a remote/hybrid position

The incumbent typically works in an office environment and uses a computer, telephone and other office equipment as needed to perform duties. The noise level in the work environment is typical of that of an office. Incumbent may encounter frequent interruptions throughout the workday. The employee is regularly required to sit, talk, or hear; frequently required to use repetitive hand motion, handle or feel, and to stand, walk, reach, bend or lift up to 20 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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