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Data Engineer Contract Jobs (NOW HIRING)

GCR Professional Services

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

Data Engineer Contract 40 hours weekly, 12+ months This is a Flex position with the potential to convert to a regular full-time position based on business needs, individual performance, and ...

Vertex Sigma Software

Data Engineer

Foster City, CA

$133K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AV Safety Data Engineer (Contract) The Safety Strategy Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer (Contract) * Location: Austin TX, 78758 (Hybrid) * Duration: 11/17/2025 to 11/13/2026 * Team: Fraud ADUS Key Responsibilities: * Develop and implement end-to-end ML models for ...

Ag

Cabin Engineer (Contract)

Mobile, AL

Resolve technical problems by all possible means, including applying data-driven methodologies and ... engineering principles, regulatory requirements, company standards and customer contract ...

New

Centstone

Data Engineer

Sunnyvale, CA · On-site

$75 - $85/hr

Sunnyvale, California (Onsite) Contract: 6 -12+ Months Experience: 12 - 15 Years About the Role We are seeking an experienced Data Engineer for an onsite contract opportunity with a leading ...

Changeis

Data Engineer

$117K - $140K/yr

If you have experience in data engineering, ETL development, or related fields, and you're interested in exciting contract roles with competitive pay and benefits, we'd love to connect with you! By ...

Strategic Staffing Solutions

Data Engineer

Houston, TX

$109K - $131K/yr

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C ... Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior ...

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

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 candidate that shares our passion ...

Kanak Elite Services Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Contract Tech stack: Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads meetings with internal customers to determine data needs ...

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Contract Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern ...

SST Direct

Electrical Engineer (Contract)

Wichita, KS · On-site

$70 - $75/hr

Electrical Engineer (Contract) Location: Wichita, KS Pay: $70-$75/hour Job Type: Contract (12 ... Analyze ground and flight test data to verify system performance and functionality. * Support ...

Inficare Technologies

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

Role: Data Engineer Location: Phoenix, AZ onsite Job Type: Contract * Experience with strong data engineering and big data concepts (Hadoop, SQL, Hive) * Hands-on experience with PySpark and Python

SCI SOLUTIONS GLOBAL

Data Engineer

Chicago, IL

$35 - $38/hr

W2 Contract We are seeking an experienced Data Engineer with strong hands-on expertise in PySpark, Databricks, and AWS Redshift to join our data engineering team. The ideal candidate will have a ...

New

Mondo

Data Engineer

Manhattan, NY · On-site

$75 - $82/hr

  • Medical

  • Dental

  • Vision

  • Retirement

The start date is ASAP (targeting end of summer) for this long-term contract-to-hire position. Job Title: Data Engineer (AVP Level) Location-Type: Hybrid (3 days/week onsite in NYC, must be local ...

Peraton

Software/Data Engineer

Laurel, MD · On-site

$176K - $282K/yr

  • PTO

As a Software Data Engineer on our team, you will support one of the largest enterprise-wide engineering contracts within the Intelligence Community. This is a full-time position requiring 1880 hours ...

Kanak Elite Services Inc

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

DATA ENGINEER III CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT ONSITE 5 DAYS A WEEK IN DOWNTOWN HOUSTON OFFICE. LOOKING FOR HOUSTON LOCAL TALENT. NEED SENIOR CANDIDATES 12+ - 15 ...

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All JobsData Engineer Contract Jobs

Data Engineer Contract information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer contract jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer contract 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 are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

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What are the most commonly searched types of Data Engineer jobs?

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What states have the most Data Engineer Contract jobs?

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Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

GCR Professional Services

San Diego, CA • On-site

$121K - $146K/yr

Other

Posted 20 days ago

Job description

Data Engineer Contract 40 hours weekly, 12+ months This is a Flex position with the potential to convert to a regular full-time position based on business needs, individual performance, and organizational priorities. Job Mission Join a pioneering research organization developing next-generation lithography light source technologies. Our laser-produced plasma (LPP) system combine high-power lasers, advanced optics, plasma-based EUV generation, sensing, controls, and physics-based modeling to address some of the most complex challenges in semiconductor manufacturing. As Source Research continues to expand its use of data-driven engineering, machine learning, simulation and physics-based modeling, a scalable and well-governed data ecosystem has become essential. High-quality, accessible, and connected data enables faster technology development, deeper system understanding, more effective trade studies, and better-informed technology and roadmap decisions. In this role, you will help shape the data foundation that supports research and development activities across Source Research. Working closely with lab owners and experimental, modeling, and ML scientists, you will build and improve data pipelines, integrate diverse data sources, and enable reliable access to research data at scale. You will also help establish practical architecture standards and best practices that ensure our data platform remains scalable, secure, maintainable, and aligned with the broader data landscape. his role combines hands-on development with technical leadership in shaping the data foundation for Source Research. You will build, operate, and continuously improve data pipelines, integrating new data sources, improving reliability, and enabling scientists and engineers to use high-quality data at scale. You will also define practical architecture standards that keep the platform consistent, secure, future-ready, and aligned with clients data landscape. Work independently and collaboratively to deliver on objectives, whether exploring new data sources, building new capabilities, or characterizing existing system performance. Be willing to work extended hours and second shift as needed. Perform other duties as assigned or required Qualifications • Bachelor’s or Master’s degree in Computer Science, Statistics, Math, Data Science, or a related field. • 10+ years of relevant experience in data engineering, data architecture, or scientific/engineering data platforms. • Strong hands-on development experience in Python and modern data engineering tooling. • Proven experience building and operating scalable big data pipelines, analytics platforms, and data products that support data-intensive scientific and engineering workflows. • Experience with cloud and distributed data platforms such as Azure, Azure Databricks, Apache Spark, Kubernetes, and data lake architectures. • Solid understanding of data modeling, metadata management, data lineage, data quality, governance, security and access control. • Experience supporting scientific or engineering workflows (for example simulation, HPC, instrumentation, or time-series sensor data). • Familiarity with AI/ML workflows and MLOps practices is a plus. • Strong communication and collaboration skills, with the ability to translate technical details into clear and actionable guidance.

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