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It Data Engineer Jobs (NOW HIRING)

STI

IT Data Visualization Architect

Indianapolis, IN · On-site

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 ...

Apex Systems

IT Data Analyst

Merrifield, VA · On-site

Job#: 3044712 IT Data Analyst Location: Remote U.S. Role Overview We are seeking an IT Data Analyst ... Support engineers in restructuring data folder hierarchies to ensure access is limited to ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Bachelor's degree in Computer Science, Information Technology, Data Engineering or related field * Proven QA experience across integrated software and data platforms * Experience validating front-end ...

Toppan

IT Data Integrations Lead

Concord, NC · On-site +1

The Data Integration Lead is a critical member of the Toppan IT Data & Analytics team, responsible ... Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or ...

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IT Data Engineer information

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$177.5K

How much do it data engineer jobs pay per year?

As of Aug 22, 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

IT Data Visualization Architect

STI

Indianapolis, IN • On-site

Full-time

Re-posted 20 days ago

Job description

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's different divisions serving both statewide and internal partners.
The IT Data Visualization Architect will craft visualizations and dashboards relevant to agency's different divisions serving both statewide and internal partners. This position will take part in requirements gathering, data modeling, visualization design, as well as training on site staff on visualization tools.
Roles and Responsibilities:
• Design and develop data-driven applications and dashboards in Tableau or Power BI, both preferred, but one or the other will be considered
• Conduct thorough data validation to maintain accuracy and consistency
• Align agency infrastructure with industry best practices
• Collaborate with stakeholders to align requirements with business objectives
• Meet project deadlines and requirements while working independently
• Other duties as assigned
Work Environment:
• Remote work following Agency hybrid work policies
What You Will Need:
• Bachelor's degree and 5 years of relevant work experience
• 3 or more years of experience in data visualization tools
• Experience in Oracle products preferred (Oracle19c, RDBMS, pl/sql procedures)
• Proficiency with Data migration, Data Modeling, and ETL
• O365 applications, experience in Microsoft Excel is essential
• Excellent communication skills - written and verbal
• Experience in government financial management
• Ability to research and document findings

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