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It Data Engineer Jobs (NOW HIRING)

Senior IT Data Engineer (onsite)

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 supporting Federal Reserve Board ...

Senior IT Data Engineer (onsite)

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 supporting Federal Reserve Board ...

IT Data Engineer III - Remote

Lombard, IL · On-site

$112K - $134K/yr

Evaluate and Implement New Technologies * Research and recommend new data engineering tools ... Bachelor's degree in Computer Science, Information Systems, or a related field required.

Senior IT Data Engineer (onsite)

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 supporting Federal Reserve Board ...

IT Data Engineer III - Remote

Lombard, IL · On-site +1

$115K - $140K/yr

Evaluate and Implement New Technologies * Research and recommend new data engineering tools ... Bachelor's degree in Computer Science, Information Systems, or a related field required.

Senior IT Data Engineer (onsite)

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 supporting Federal Reserve Board ...

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

Evaluate and Implement New Technologies * Research and recommend new data engineering tools ... Bachelor's degree in Computer Science, Information Systems, or a related field required.

Support engineering teams in executing against strategies, roadmaps, principles, standards, and ... data solutions outweighs specific technology affinity. * MDM knowledge (Reltio, Informatica, or ...

Job Title: IT Data Visualization Architect Location: Indianapolis, IN Duration: 12+ Months Description: The IT Data Visualization Architect will craft visualizations and dashboards relevant to agency ...

Showing results 21-40

It Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do it data engineer jobs pay per year?

As of Aug 17, 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.

What are the key skills and qualifications needed to thrive as an IT data engineer?

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 is an IT data engineer?

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior IT Data Engineer

J. E. Dunn Construction Group

Kansas City, MO • On-site

$103K - $140K/yr

Other

Re-posted 27 days ago


JE Dunn Construction rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Best People + Right Culture. These are the driving forces behind JE Dunn's success.
By hiring inspired people, giving them interesting and challenging work, enabling them with innovative tools, and letting them share in the company's rewards, we've found a sustainable way to grow in our industry for the last 100+ years.
Our diverse teams around the country strive to enrich lives through inspired people and places everyday, and we need inspired people like you to join us in our pursuit of building perfection.
Role Summary
The Senior Data Engineer designs, implements, and evolves enterprise data and machine learning capabilities using Microsoft Fabric and related modern data platforms. This role emphasizes enabling predictive and prescriptive analytics by building scalable data foundations, partnering with business stakeholders to identify high-value opportunities, and applying a deep understanding of machine learning, data science, and statistical concepts to real business problems. The position operates as a forward-looking technical leader who is comfortable working with rapidly changing technologies-including Fabric, data agents, Rayfin, and large language models-and exploring new ways to create business value from data. All activities will be performed in support of the strategy, vision and values of JE Dunn.
  • Autonomy & Decision-Making: Makes decisions on non-routine matters, provides recommendations to supervisor, and refers all exceptions to supervisor.
  • Career Path: Data Engineering Manager

Key Role Responsibilities - Core
  • Design and implement scalable data and analytics architectures in Microsoft Fabric that support predictive and prescriptive use cases
  • Partner with business stakeholders to understand operational challenges, available data, and opportunities to create measurable business value through analytics and machine learning
  • Apply a strong understanding of machine learning, data science, and statistical concepts to support model development, experimentation, and deployment
  • Support the development of predictive and prescriptive analytics solutions by preparing reliable, well-governed datasets for training, inference, and decision support
  • Evaluate emerging technologies such as Fabric, data agents, Rayfin, and large language models, and recommend practical ways to leverage them in new and innovative ways
  • Design data models and transformation processes that improve data quality, consistency, and usability for advanced analytics
  • Participate in architectural reviews to ensure new systems align with the organization's data, analytics, and AI strategy
  • Implement governance, lineage, metadata, and security practices that enable trusted self-service analytics and responsible AI usage
  • Monitor and improve the performance, reliability, and quality of data and ML workflows, including alerting for data drift and model performance issues
  • Document analytics and ML data dependencies, solution designs, and technical standards to support maintainability and scale
  • Collaborate across departments to identify data synergies, prioritize high-impact use cases, and communicate changes to stakeholders
  • Optimize data processes and platform capabilities to improve the speed, effectiveness, and cost-efficiency of analytics and machine learning solutions

Key Role Responsibilities - Additional Core
SENIOR DATA ENGINEER
In addition, this position will be responsible for the following:
  • Supports the definition of enterprise patterns and standards for advanced analytics, machine learning, and AI-enabled data products
  • Provides subject matter expertise for evolving or experimental initiatives involving predictive analytics, prescriptive analytics, and emerging technologies
  • Mentors junior team members on data science concepts, analytical thinking, and modern data platform best practices
  • Leads small to medium sized initiatives as a technical subject matter expert in advanced analytics and data architecture
  • Provides authoritative feedback on how upstream systems, business processes, and data structures can better support analytical and ML outcomes
  • Collaborates with key stakeholders and IT leadership to identify and prioritize data investments with clear business value
  • Contributes to the data and AI strategy roadmap and supports complex, high-impact initiatives that leverage modern and rapidly evolving technologies

Knowledge, Skills & Abilities
  • Ability to perform work accurately and completely, and in a timely manner
  • Communication skills, verbal and written
  • Time management skills
  • Ability to prioritize multiple projects
  • Ability to drive change through innovation & process improvement
  • Ability to communicate to executive audiences and deliver results through influence
  • Deep understanding of machine learning, data science, and statistical concepts, including how to apply them to business problems and value creation
  • Ability to work with business stakeholders to understand available data, identify opportunities, and define high-value predictive and prescriptive analytics use cases
  • Comfort working with cutting-edge and rapidly changing technologies, including Microsoft Fabric, data agents, Rayfin, and large language models
  • Ability to think creatively about how emerging technologies can be leveraged in new ways to improve decision-making and business outcomes
  • Proficiency in SQL - Intermediate
  • Proficiency in Python - Intermediate
  • Proficiency in Spark - Intermediate
  • Experience implementing data architectures and governed analytical data models in modern data platforms
  • Knowledge of data governance and security best practices
  • Experience developing and consuming REST APIs for data integration (Preferred)
  • Familiarity with Power BI and Microsoft Fabric (Preferred)
  • Experience with Microsoft Purview or similar data catalog and governance tools (Preferred)
  • Experience supporting or operationalizing machine learning models for predictive or prescriptive analytics (Preferred)

Education
  • Bachelor's degree in Computer Science, Data Engineering or related field (Required)
  • In lieu of the above requirements, equivalent relevant experience will be considered.

Experience
  • 5+ years of experience in data analytics or data engineering (Required)

Working Environment
  • Frequent activity: Sitting, Viewing Computer Screen
  • May require periods of overnight travel
  • Must be able to lift up to 10 pounds
  • Normal office environment
  • Occasional activity: Standing, Walking, Bending, Climbing, Reaching above Shoulder

Benefits Information
The benefits package aligned to this position is Professional Non-Union. Please click the link below for more details.
Click here for benefits details
This role is expected to accept applications for at least three business days and may continue to be posted until a qualified applicant is selected or the position has been cancelled.
JE Dunn Construction is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. JE Dunn Construction is a background screening, drug-free workplace.
JE Dunn provides reasonable accommodations to qualified individuals with disabilities. If you would like to request a reasonable accommodation in order to apply for a job, please submit your request to
JE Dunn Construction Company does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of JE Dunn Construction without a prior written search agreement will be considered unsolicited and the property of JE Dunn Construction Company. Please, no phone calls or emails.
Requisition ID: 62609
Why People Work Here
At JE Dunn we offer our employees an inspired place to enrich their life and the lives of those around them
Building on our rich history, our employee owners are shaping the future of JE Dunn. In our team-focused environment we do life together and are generously rewarded for our efforts
About JE Dunn
For more information on who we are, click here.
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