1

Data Engineer Contract Jobs in Addison, IL (NOW HIRING)

Principal Data Engineer

Chicago, IL · On-site

$195.37K - $244.21K/yr

Establish standards for data contracts, lineage, and observability Privacy, Security & Governance ... Mentor engineers and raise engineering standards Qualifications Required: * 10+ years of experience ...

Sr Data Engineer (Workday)

Chicago, IL · On-site

$118K - $141.60K/yr

The Sr. Data Engineer (Workday) is an individual contributor specializing in Workday systems ... Assists with relationship management, contract negotiations, and ensuring adherence to requirements ...

Senior Data Engineer

Chicago, IL · On-site

$109.30K - $148.50K/yr

... detail-oriented Data Engineer to join our growing data team. The ideal candidate will be ... This document does not create an employment contract, implied or otherwise, other than an ""at-will ...

Sr Data Engineer (Workday)

Chicago, IL · On-site +1

$109.20K - $148.30K/yr

The Sr. Data Engineer (Workday) is an individual contributor specializing in Workday systems ... Assists with relationship management, contract negotiations, and ensuring adherence to requirements.

The smart contracts you develop will manage slashable collateral, automate fee distribution across ... Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a ...

NextRow is looking to hire a Network Engineer (contract role). Any experience in Hospitality ... F5 (F5 Technology Specialist / Solution Expert) CCNP/CCIE (routing, data center, security or ...

NextRow is looking to hire a Network Engineer (contract role). Any experience in Hospitality ... routing, data center, security or service provider) • Solarwinds (Monitoring, management ...

next page

Showing results 1-20

Data Engineer Contract information

See Addison, IL salary details

$44.6K

$130K

$177.8K

How much do data engineer contract jobs pay per year?

As of May 29, 2026, the average yearly pay for data engineer contract in Addison, IL is $129,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $137,800.00 per year, depending on experience, location, and employer.

What is a Data Engineer Contract job?

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.

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 are the typical daily responsibilities of a Data Engineer on a contract basis?

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 most commonly searched types of Data Engineer jobs in Addison, IL? The most popular types of Data Engineer jobs in Addison, IL are:
What are popular job titles related to Data Engineer Contract jobs in Addison, IL? For Data Engineer Contract jobs in Addison, IL, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Addison, IL look for? The top searched job categories for Data Engineer Contract jobs in Addison, IL are:
What cities near Addison, IL are hiring for Data Engineer Contract jobs? Cities near Addison, IL with the most Data Engineer Contract job openings:
Infographic showing various Data Engineer Contract job openings in Addison, IL as of May 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,959 per year, or $62.5 per hour.

Lead Data Engineer - Enterprise Cloud & AI Solutions - AIRLHV

NavitasPartners

Naperville, IL • On-site, Remote

$40/hr

Full-time

Posted yesterday


Job description

Lead Data Engineer – Enterprise Cloud & AI Solutions

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are looking for a Lead Data Engineer to support enterprise-scale cloud data and AI initiatives. This role will focus on delivering high-performance data solutions and enabling AI-driven innovation across business units.

Key Responsibilities:

  • Lead the design and deployment of cloud data platforms
  • Develop scalable data pipelines and optimize performance
  • Collaborate with architects, data scientists, and engineering teams

Required Skills:

  • Strong background in data engineering with tools like Databricks, Snowflake, or BigQuery
  • Experience with cloud ecosystems (AWS, Azure, GCP)
  • Hands-on implementation of large-scale data solutions

Nice to Have:

  • Experience with ML/AI engineering and MLOps pipelines
  • Exposure to GenAI, LLMs, or agent-based AI systems
  • Understanding of AI governance, compliance, and ethical AI practices

For more details reach at resumes@navitassols.com.