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It Data Engineer Jobs (NOW HIRING)

Texas Instruments

TI is seeking a full-time IT Data Manager in Lehi, Utah. Our innovations are at the core of nearly ... Engineer your future. We empower our employees to truly own their career and development. Come ...

Advocate Aurora Health

IT Data Solutions Architect

$54.90 - $82.35/hr

Implement and oversee standardized DevOps practices, including CI/CD pipelines for analytics ... Bachelor's degree in Information Technology, Computer Science, Data Analytics, Engineering or a ...

OpenAI

IT Controls Data Engineer

San Francisco, CA · On-site

$293K - $325K/yr

About the Role We are looking for an IT Controls Data Engineer to build the data infrastructure that powers audit readiness, IT controls, evidence automation, and continuous control monitoring. In ...

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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 Sep 12, 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 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.

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 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 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.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on big data, cloud computing, and data infrastructure across industries. They are essential for building and maintaining data pipelines, often requiring skills in SQL, Python, and cloud platforms like AWS or Azure. The role is expected to remain strong as organizations continue to prioritize data-driven decision-making.

Are data engineers well paid?

Data engineers are generally well compensated due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for their expertise in managing large-scale data systems.
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IT Data Engineer jobs near you
Infographic showing various It Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

IT Data Scientist

Bluffdale, UT • On-site

The Church of Jesus Christ of Latter-day Saints
Religious Organizations • 10K+ employees
Learn more about The Church of Jesus Christ of Latter-day Saintsexternal

Full-time

Posted 26 days ago

Church of Jesus Christ of Latter-day Saints rating

8.7

Company rating: 8.7 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

Job description


An IT Data Scientist is a master professional who is fully responsible for advising the appropriate use and application of data science methods as well as overseeing the development and implementation of data science solutions. The Data Scientist provides senior-level leadership on the full spectrum of data science efforts. This role directs and guides the use, development, testing, implementation, and maintenance of data science models, in partnership with internal business intelligence stakeholders and in compliance with technical and architectural standards. This position is a senior technical expert in the application of data science methods to support strategic, operational, and tactical decision making. The person in this role mentors other data scientists and has influence across the organization.
This individual works with divine guidance to provide or support technology that furthers the mission of the Church and reflects the eternal impact of the gospel.
We value early, mid and late-career candidates and encourage all applicants with the posted skills and abilities to apply.
Responsibilities
Execute large scale models using advanced analytical, modeling, and machine learning techniques, including, but not limited to, Logistics Regression, Linear Models, Conjoint Analysis, Spatial Models, Time-series models
As part of the data intelligence team, create and support a cloud-based data science solution
Create scalable, efficient, automated processes for data analysis and machine learning models
Work closely with data engineers and product managers to turn data analysis into actionable algorithms
Champion a data-driven culture and help develop best-in-class data science capabilities
Create standards and procedures for data science teams
Provide significant direction for strategic plans and product roadmaps
Inform the development of requirements related to the creation, tracking, collecting, and accessing data
Analyze and protect data, including troubleshooting
Follow data science best practices
Fulfill technical lead role for data science solutions
Respond to escalated incidents and engage vendors as necessary
Conduct general research and evaluate emerging trends
Leverage skills, knowledge, and general professional experience to aid and mentor teammates
Qualifications
  • Master's degree required
  • 12 years relevant professional experience including eight years of experience supporting product development activities and guiding technology decisions
  • Experience with machine learning algorithms (Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naïve Bayes, SVM, K-means, Hierarchical Clustering, Deep Learning, NLP)
  • Expert knowledge of machine learning libraries such as scikit-learn, TensorFlow, and keras
  • Significant experience with data mining and statistical analysis
  • Provide leadership to others working with large datasets for exploratory analysis
  • Proven ability to lead knowledge discovery efforts and engineering of machine learning model development
  • Established track record with data wrangling and data transformation
  • Expert in coding in an advanced coding language, such as Python
  • Demonstrated senior level understanding of statistics and math
  • Proven successful ability to work with large and complex data sets using SQL or Python
  • Quantitative aptitude and the ability to gather and interpret data
  • Possesses and applies comprehensive knowledge of multiple fields of specialization to the completion of significant assignments
  • Proven expertise in successful automation and deployment
  • Proven exceptional leadership skills
  • Experience working in a structured enterprise-scale operational environment on a global scale with thousands of users
  • Exceptional communicator; both written and verbal; including explaining complex situations and concepts in simple terms to a non-technical audience
  • Demonstrated ability to mentor and train peers
  • Strong understanding of the business processes being supported by the solution
  • Outstanding troubleshooter, with the ability to think under pressure and drive the hardest problems to resolution
  • This job operates in a professional office environment
  • To successfully perform the essential functions of the job there may be physical requirements which need to be met such as sitting for long periods of time and using computer monitors/equipment

Preferred:
  • PhD degree

About Us
Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

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