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It Data Engineer Jobs (NOW HIRING)

Gateway First Bank

Be Seen First

Senior IT Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

Senior IT Data Engineer JOB SUMMARY: This role focuses on building, maintaining, and modernizing data architecture to ensure reliable analytics. Responsibilities include engineering scalable data ...

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 ...

TekWissen LLC

IT Data Engineer (Entry)

Creve Coeur, MO · On-site

$58/hr

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 ...

Tisun Beauty

IT & Data Manager

Charlotte, NC

$95K - $125K/yr

Hire and manage a small IT team: Database/Integration Engineer, E-Commerce Developer, Data Analyst, and IT Support Technician, scaled to business needs * Manage vendor relationships with Lightspeed ...

Beechcraft Aircraft

Data Engineer-IT

Wichita, KS

$102K - $123K/yr

The IT Data Engineer will work as part of a skilled and collaborative data engineering team building data pipelines to support strategic initiatives and operational decision-making. The position ...

Tyson Foods

Senior IT Data Engineer (Onsite)

Springdale, AR

$93K - $127K/yr

The Senior IT Data Engineer is an expert in building and optimizing modern data platforms, including real-time streaming pipelines that are cost-optimized for cloud resources. This role leads complex ...

Tyson Foods

Senior IT Data Engineer (Onsite)

Springdale, AR · On-site

$93K - $127K/yr

The Senior IT Data Engineer is an expert in building and optimizing modern data platforms, including real-time streaming pipelines that are cost-optimized for cloud resources. This role leads complex ...

3Core Systems, Inc

IT Data Analyst

Quincy, MA · On-site

Data Analyst (IT) Location: Quincy MA Duration: 6+ Months Contract Only MA Local candidates ... Power BI Data Analyst Associate (PL-300), Analytics Engineer Associate (DP-600), Fabric Data ...

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All JobsIt Data Engineer Jobs

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 Jun 16, 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 engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries such as finance or technology firms.

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.

Which IT job is the highest paid?

In the IT field, roles such as Chief Information Officer (CIO), Solutions Architect, and Data Scientist tend to be among the highest paid, often earning six-figure salaries or more. Specialized skills in cloud computing, cybersecurity, and AI can also command top compensation levels for experienced professionals.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, 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 and often include opportunities for bonuses and certifications.

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 role entirely. Data engineers are still essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and cloud platforms remain in high demand.

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 June 2026, with employment types broken down into 1% As Needed, 67% Full Time, 24% Part Time, 1% Temporary, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior IT Data Engineer

Diverse Agile Solutions

Washington, DC • On-site

Full-time

Posted 29 days ago

Job description

Salary: $70/ hr. - $82/ hr.

Senior IT Data Engineer (TO-BH-2)

Diverse Agile Solutions (DAS)

Location: Washington, D.C. (Hybrid)
Position Type: Full-Time
Citizenship Requirement: U.S. Citizen Required
Client: Federal Reserve Board Division of Research & Statistics (R&S)
Experience Level: Senior (7+ Years)
Security Requirement: Must be eligible to work on Federal projects

About Diverse Agile Solutions (DAS)

At Diverse Agile Solutions (DAS), we deliver innovative technology solutions that help government agencies and commercial organizations modernize operations, improve decision-making, and achieve mission success. We are seeking a highly skilled Senior IT Data Engineer to support the Federal Reserve Board's Data Architecture, Technology, and Analytics (DATA) Section within the Division of Research & Statistics.

This is an exciting opportunity to contribute to the modernization of enterprise data architecture and analytics capabilities that support economic research, policy analysis, and data-driven decision-making at one of the nations most influential institutions.

Position Overview

The Senior IT Data Engineer will play a critical role in transforming how the Federal Reserve Board's Division of Research & Statistics ingests, organizes, processes, and visualizes data. This position is responsible for designing, developing, and optimizing enterprise data architectures, scalable data pipelines, and advanced analytics platforms that support economists, researchers, and technical teams.

The ideal candidate is a hands-on data engineering professional with deep expertise in data modeling, database architecture, ETL/ELT development, cloud technologies, and enterprise-scale data solutions. This individual will help drive next-generation data initiatives while ensuring efficient, secure, and reliable data delivery across multiple platforms and environments.

Key Responsibilities

  • Design, develop, and maintain enterprise data architectures, databases, and data integration solutions.
  • Build, optimize, and automate scalable ETL/ELT pipelines for structured and unstructured data sources.
  • Develop and maintain high-performance data processing frameworks supporting large-scale analytics workloads.
  • Design conceptual, logical, and physical data models aligned with business and research requirements.
  • Implement and manage data lake, data warehouse, and enterprise data platform solutions.
  • Collaborate with economists, researchers, and technical stakeholders to support data-driven research and policy initiatives.
  • Optimize data flow, storage, and processing architectures for performance, scalability, and reliability.
  • Perform root cause analysis on data and business processes to identify improvement opportunities.
  • Support migration of data pipelines and workflows between on-premises and cloud environments.
  • Develop and maintain DataOps practices, CI/CD pipelines, and automated deployment processes.
  • Ensure adherence to data governance, security, and architectural standards.
  • Evaluate emerging technologies and recommend innovative solutions to improve enterprise data capabilities.
  • Document technical solutions, architecture designs, and operational procedures.

Required Qualifications

Education

  • Bachelors degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.
  • Advanced degree (Masters or Ph.D.) preferred.

Experience

  • Minimum of 7 years of professional experience in Data Engineering, Data Architecture, Database Administration, or related disciplines.
  • Proven experience designing and implementing enterprise-scale data solutions.
  • Experience supporting complex research, analytics, or data-intensive environments.
  • Strong ability to work independently while supporting multiple stakeholders and projects.

Required Technical Skills

Data Engineering & Architecture

  • Advanced SQL expertise.
  • Extensive experience with:
    • PostgreSQL
    • Microsoft SQL Server
    • MySQL
  • Data modeling and enterprise information architecture design.
  • Data lake and data warehouse architecture.
  • Change Data Capture (CDC) implementation and maintenance.
  • Data integration and pipeline automation.

Programming & Analytics

  • Advanced proficiency in:
    • Python
    • R
  • Experience with additional programming languages such as:
    • Java
    • Scala
    • JavaScript
    • Perl

Data Processing & Orchestration

  • ETL/ELT workflow development and automation.
  • Distributed computing and large-scale data processing.
  • Workflow orchestration platforms such as:
    • Apache Airflow
    • Prefect
    • Dagster
    • AWS Step Functions

Cloud & Modern Data Platforms

  • Hands-on experience with:
    • AWS
    • Microsoft Azure
    • Snowflake
  • Cloud migration of data pipelines and workflows.
  • Enterprise data platform modernization initiatives.

DevOps & DataOps

  • CI/CD pipeline implementation and support.
  • GitLab and GitHub source control management.
  • Linux-based development environments.
  • Automated testing, deployment, and operational monitoring.

Preferred Qualifications

  • Experience working with economic, financial, or research-oriented data environments.
  • Knowledge of time-series data analysis and forecasting methodologies.
  • Experience with NoSQL databases and graph database technologies.
  • Experience developing, training, deploying, and maintaining machine learning models.
  • Familiarity with advanced analytics, statistical modeling, and predictive analytics.
  • Experience supporting Federal Government agencies or highly regulated organizations.

Desired Competencies

  • Exceptional analytical and problem-solving skills.
  • Strong troubleshooting and root-cause analysis capabilities.
  • Excellent written and verbal communication skills.
  • Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
  • Strong customer-service mindset and collaborative approach.
  • Self-motivated, detail-oriented, and results-driven professional.

Why Join DAS?

  • Work on mission-critical initiatives supporting the Federal Reserve Board.
  • Collaborate with leading economists, researchers, and technology professionals.
  • Contribute to innovative data modernization and analytics programs.
  • Competitive compensation and benefits package.
  • Opportunities for professional growth and career advancement.
  • Hybrid work environment in the Washington, D.C. metropolitan area.

Equal Employment Opportunity

Diverse Agile Solutions (DAS) is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status under applicable federal, state, or local laws.

Apply Today

If you are a highly motivated Data Engineer with a passion for building modern, scalable data solutions and supporting impactful economic research initiatives, we encourage you to apply and join the DAS team supporting the Federal Reserve Board in Washington, D.C.