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Data Engineer Jobs (NOW HIRING)

Data Engineer

Lisle, IL

$112K - $135K/yr

Support Data Engineering initiatives across two Data Engineering Teams: * Prospect Team * Student Team Contribute to stabilizing and scaling the Data Engineering organization Top 3 Requirements:

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Role:-Data Engineer Position type: Contract to hire Duration: 12+ Months Location: Jersey City, NJ, and Columbus, OH - Hybrid 3 Days in Office. As a Data Engineer: We are looking for an exceptional ...

Data Engineer

Fort Worth, TX · Hybrid

$45 - $50/hr

Data Engineer (Contract - Hybrid) Location: Irving, TX (Hybrid - 3 days onsite) Pay: $45-$50/hour Duration: Contract Work Authorization: , or Authorized to Work in the U.S. Position Overview Seeking ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer We are seeking a talented Data Engineer with 7+ years of experience to join our team in the telecom industry. The ideal candidate will have a strong background in data engineering, with ...

Data Engineer

$117K - $140K/yr

Position Overview V4C.ai is seeking a motivated Data Engineer to join our remote team in the United States. In this role, you will support the design, development, and maintenance of data solutions ...

Data Engineer

Fort Worth, TX · On-site

$45 - $50/hr

Data Engineer (Contract - Hybrid) Location: Irving, TX (Hybrid - 3 days onsite) Pay: $45-$50/hour Duration: Contract Work Authorization: US Citizen, Green Card Holder, or Authorized to Work in the U.

Data Engineer

Minneapolis, MN · 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

$108K - $129K/yr

Data Engineer ID: 1616 Location: Fort Eustis, VA Department: N/A More about this job > Description AMSG is seeking a full time Data Engineer with U.S. Army Transformation and Training Command (T2COM ...

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining scalable data ...

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Senior Data Engineer - Azure & Databricks We are seeking a highly skilled Senior Data Engineer to design, implement, and support advanced analytics and data engineering solutions using Microsoft ...

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

The Data Engineer delivers reliable, secure, and high-performing data solutions that support analytics, reporting, and downstream advanced analytics use cases. This individual works closely with ...

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

Kansas City, MO · On-site

$111K - $134K/yr

They are seeking a Senior Data Engineer to own the consumer-data pipeline, responsible for ingesting and unifying behavioral data into a reliable identity graph that supports their AI-driven ...

DATA ENGINEER

Wyoming, MI

$103K - $124K/yr

Data Engineer Retail & E-Commerce (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics ...

Data Engineer

Nashua, NH · On-site

$115K - $138K/yr

Data Engineer Location: Nashua NH The Data Engineer will support the Information Systems Lead by building and maintaining the data pipelines, integrations, lakehouse structures, and curated data ...

Data Engineer

Boston, MA · On-site +1

$60 - $62/hr

Data Engineer Duration: asap -4 Months Position: Remote (The person can be remote, though local to Boston.) Details: Client is seeking a Data Engineer to design, develop, implement discrete data ...

Data Engineer

$105K - $120K/yr

Data Engineer Remote/ Occasional Onsite in DC area | NCR Support as Required | Secret with TS Eligible If you want to apply enterprise data engineering expertise to support a varied portfolio of ...

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Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer jobs pay per year?

As of Jun 16, 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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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 June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% 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.
Data Engineer

$112K - $135K/yr

Other

Posted 6 days ago


Job description

Job Title

Location:

Onsite 4 days/week (Monday–Thursday)

Primary locations: Lisle, IL or Columbia, MD

Contract / Contract‑to‑Hire & Length:

6‑month contract‑to‑hire

Strong intent to convert to FTE at or before 6 months

No sponsorship; no future sponsorship allowed

Day‑to‑Day Responsibilities / Project Details:

Support Data Engineering initiatives across two Data Engineering Teams:

  • Prospect Team
  • Student Team

Contribute to stabilizing and scaling the Data Engineering organization

Top 3 Requirements:
  1. Strong SQL skills (minimum ~7.5/10; critical requirement)
  2. Hands‑on data engineering experience (batch and real‑time pipelines, data warehousing, data modeling)

Saxon global logo

About Saxon global

Sourced by ZipRecruiter

Saxon Global is a leading IT consulting and staffing company based in Irving, Texas. The company operates in the technology services industry and has been providing unparalleled services to its clients for over a decade. Saxon Global specializes in app development, business intelligence (BI), and data integration services. Established in 2007, the company was founded on the principle of harnessing the power of data and technology to drive business success. With their focus on innovation, quality, and superior service, Saxon Global aims to help businesses achieve their goals with significantly increased efficiency and effectiveness.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Irving, TX, US

Year founded

2000

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