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Data Engineering Jobs (NOW HIRING)

Accenture Federal Services

Data Engineering Lead

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer will design, build, and maintain the core client data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. Develop and operate ...

Peloton

Data Engineering Manager

New York, NY · On-site +1

ABOUT THE ROLE Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across ...

Husch Blackwell Llp

Data Engineering Manager

Chicago, IL · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Husch Blackwell Llp

Data Engineering Manager

Austin, TX · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Husch Blackwell

Data Engineering Manager

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

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Data Engineering information

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$46K

$165K

$243.5K

How much do data engineering jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineering in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

More about Data Engineering jobs
What cities are hiring for Data Engineering jobs? Cities with the most Data Engineering job openings:
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What states have the most Data Engineering jobs? States with the most job openings for Data Engineering jobs include:
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Data Engineering jobs near you
Infographic showing various Data Engineering job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Engineering Technical Expert

Data Engineering Technical Expert

Pantheon Data

Washington, DC • On-site

$100K - $200K/yr

Full-time

Posted 16 days ago

Job description

Company Overview

Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies.

Position Overview

The Data Engineering Technical Expert provides senior-level leadership and technical direction for enterprise data engineering, data architecture, and analytics initiatives supporting the U.S. Coast Guard Office of Data and Analytics (CG-ODA). This role leads high-complexity projects involving data modernization, cloud transformation, data governance, and enterprise engineering solutions.

Responsibilities

  • Lead enterprise data engineering and architecture initiatives.
  • Develop and implement strategic data engineering roadmaps.
  • Translate business requirements into scalable technical solutions.
  • Oversee compliance with federal policies, standards, and regulations.
  • Advise executive leadership on technical investments and modernization efforts.
  • Review project deliverables for quality, completeness, and compliance.
  • Coordinate stakeholders across multiple programs and domains.
  • Support AI, analytics, metadata management, and data governance initiatives.

Required Skills and Experience

  • Bachelor's degree in Data Engineering, Systems Engineering, Computer Science, or related field.
  • CSPO, DHS Mid-Level Project Management Certification, or equivalent.
  • 10 years of relevant experience, or 8 years with a Master's degree.
  • Experience leading enterprise data engineering projects within federal environments.
  • Ability to work effectively remotely in cross-functional teams.
  • Ability to meet deadlines and produce quality work.
  • Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint.

Clearance Requirements

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements. Ability to obtain Public Trust prior to hire and maintain during employment is required.

Work Location: Hybrid - USCG HQ (DHS St. Elizabeth's Campus in D.C.)

  • Hybrid work schedule with on-site support as required.
  • Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
  • If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site.
  • If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements.

Compensation

The salary range for this position is $100,000 - $200,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Benefits Overview

We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity. In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/

Pantheon Data Important Information

All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020.

This company uses E-Verify to confirm each employee's work authorization. For more information, click here E-Verify Participation Poster