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Data Engineer Jobs (NOW HIRING)

Data Engineer

Washington, DC ยท On-site

$80K - $120K/yr

Position Overview The Data Engineer develops and maintains enterprise data pipelines, cloud-based data architectures, and automated data integration solutions. Responsibilities * Design and implement ...

Data Engineer

Urbandale, IA ยท On-site

$80K - $120K/yr

Data Engineer As a Data Engineer, you will enable engineers, analysts, and data scientists to more effectively access, explore, and leverage enterprise data to generate insights, build models, and ...

GCP Data Engineer

Sunnyvale, CA ยท On-site

$136K - $163K/yr

Senior Data Engineer (Spark Streaming & GCP) Job Summary: We are seeking a highly skilled Senior Data Engineer with strong expertise in Apache Spark, Streaming Technologies, and Google Cloud Platform ...

New

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

Data Engineer

Manhattan, NY ยท On-site

$126K - $151K/yr

Job Title- Data Engineer Location- New York, NY 10112 Reporting Type- Onsite Duration: 10 months Summary This role involves building and delivering advanced data science and AI/ML solutions in an ...

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Role - Data Engineer โ€ข 2-3 years of hands-on experience in Data Engineering โ€ข Strong experience in Python and PySpark/Spark for large-scale data processing โ€ข Experience working with Databricks ...

Data Engineer - GCP

Atlanta, GA ยท On-site

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

Data Engineer

Eagan, MN ยท On-site

$116K - $140K/yr

Data Engineer | Eagan, Minnesota, United States Data Engineer - Tech Lead (GCP, Apache Beam, Airflow) Location: Eagan, MN (Remote Eligible) | Job Type: C2C About the Role Join a dynamic Rebate Data ...

Data Engineer

Washington, DC ยท On-site

$129K - $155K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar

Data Engineer

Hurlburt Field, FL ยท On-site

$73K - $175K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Data Engineer

Hurlburt Field, FL ยท On-site

$104K - $125K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Data Engineer

Houston, TX

$109K - $131K/yr

Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior ...

Data Engineer

Glendale, CA ยท On-site

$121K - $145K/yr

As a Data Engineer, you will help build and maintain data solutions that enable analytics, reporting, and business decision-making across the organization. Working alongside data engineers ...

Data Engineer

Dallas, TX

$113K - $136K/yr

We are expanding our Data Engineering toolset and need an experienced AWS, Python and SQL Data Engineer. This role will be required to design and implement our new data pipelines using AWS, and train ...

Data Engineer

Salt Lake City, UT ยท On-site

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this ...

Data Engineer

Minneapolis, MN ยท Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

Data Engineer

Manhattan, NY

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD), a new division within the NYC Department of Transportation focused on the rapid growth of app-based ...

Data Engineer

Salt Lake City, UT ยท On-site +1

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this ...

DATA ENGINEER

California City, CA ยท On-site

$140K - $168K/yr

Data Engineer Banking (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial ...

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

Data Engineer Location: Houston, TX Contract Length: 12+ Months Pay: 80-90 per hr on W2 Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight ...

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Showing results 1-20

Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations 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 ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What cities are hiring for Data Engineer jobs? Cities with the most Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
Who are the top companies hiring for Data Engineer jobs? The top employers for Data Engineer jobs are:
What states have the most Data Engineer jobs? States with the most job openings for Data Engineer jobs include:
Infographic showing various Data Engineer job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Pantheon Data

Washington, DC โ€ข On-site

$80K - $120K/yr

Full-time

Posted 13 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 Engineer develops and maintains enterprise data pipelines, cloud-based data architectures, and automated data integration solutions.

Responsibilities

  • Design and implement ETL/ELT pipelines.
  • Develop cloud-based data solutions.
  • Build API integrations and automated data workflows.
  • Troubleshoot and optimize data pipelines.
  • Support metadata management and data governance initiatives.
  • Collaborate with analysts, data scientists, and stakeholders.

Required Skills and Experience

  • Bachelor's degree in Data Engineering, Computer Science, Software Engineering, or related field.
  • AWS Data Engineer Associate, AWS Certified Data Analytics, Azure Data Engineer Associate, or equivalent certification.
  • 4 years of data engineering experience, or 3 years with a Master's degree.
  • 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.
  • 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 $80,000 - $120,000. 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.โ€ฏIn 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