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

Senior Data Engineer - Contract Client: Large Public Accounting Firm Engagement: 6-12 Months+ Contract Work Model: Fully Remote Rate: $80-$85/hour (C2C) Role Overview The Senior Data Engineer plays a ...

Data Engineer

Chicago, IL · On-site

$72 - $73/hr

Data Engineer Contract: Chicago, Illinois, US Salary Range: 72.00 - 73.00 | Per Hour Job Code: 369276 End Date: 2026-06-10 Days Left: 16 days, 3 hours left Apply Job Title: Data Engineer Location:

Data Engineer (Contract-to-Hire, Part-Time)

Chicago, IL · On-site

$118K - $141.60K/yr

Zeno Group is hiring a data engineer to join our team on a part-time, contract-to-hire basis (approximately 20 hours per week). This role reports into Zeno's AI & Innovation practice and works ...

Data Engineer

Lisle, IL · On-site

$112.90K - $135.60K/yr

Lisle, IL or Columbia, MD Contract / Contract‑to‑Hire & Length: 6‑month contract‑to‑hire ... Support Data Engineering initiatives across two Data Engineering Teams: * Prospect Team * Student ...

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

This is a 12+ month W2 contract opportunity. Join a passionate, tight-knit, and supportive team as a Big Data Developer/Engineer at a Global Financial Institution. This role focuses on delivering the ...

Data Engineer

Wheeling, IL · On-site

$75K - $90K/yr

We are looking for a Data Engineer who will use various methods to transform raw data into useful ... contract, contract-to-hire, and direct-hire placements within multiple lines of business. Our ...

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Data Engineer Burnham, IL (100% onsite) Contract/Direct Hire We're looking for a Data Engineer who can step into an established environment and quickly take ownership of critical data workflows. This ...

Data Engineer

Chicago, IL · Remote

$118K - $141.80K/yr

DOE We are seeking an experienced Data Engineer with expertise in Alation for a 6-12 month contract. This is a fully remote position, offering an excellent opportunity to work with cutting-edge data ...

Senior Data Engineer

Lisle, IL · Hybrid

$104.50K - $142K/yr

Contract to Perm Hire Client: APEX System/Covista (Formerly Adtalem Global Education) Must haves from the manager: * Strong SQL skills * Hands-on data engineering experience (batch and real-time ...

Snowflake Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Snowflake Data Engineer Location: Chicago, IL (Local Prefers) Contract Experience Level 8+ years in Data Engineering, with a proven track record of leading large-scale data modernization or ...

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Data Engineer Chicago, IL Onsite Contract Role Description: Candidate should be strong and experienced in below skills Very good knowledge in working with Azure Databricks services for data engineer-

Lead Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Contract * Snowflake/Snowpipe, SQL, Python/PySpark * Data Modeling, Data Engineering with Modeling Techniques - hands on experience * Must have Data Vault experience and Real implementation ...

Data Engineer

Chicago, IL · Hybrid

$118K - $141.80K/yr

Data Engineer Location ... McLean, VA (Onsite/Hybrid - Local candidates preferred) Duration: 9 Months Contract We are seeking ...

Azure Data Engineer

Chicago, IL · Remote

$118K - $141.80K/yr

Remote long term contract Key Responsibilities: * Design, develop, and implement data platform ... Implement DevOps practices and CI/CD pipelines using GitActions. * Collaborate with cross ...

Azure Data Engineer

Oak Brook, IL · On-site

$115.70K - $138.90K/yr

Azure Data Engineer Years of Experience: 10+ years 6+Month Contract 100% onsite-5 days from end client location at St. Louis, Missouri Client is looking for an Azure Data Engineer with strong ...

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Data Engineer hybrid model Location: 311 S Wacker Dr #1600, Chicago, IL & Ann Arbor, MI ... Job type: 9 Months Contract Exp Level: Min 8+ Years. * Design, develop, and maintain database ...

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Data Engineer Contract information

See Palatine, IL salary details

$44.7K

$130.4K

$178.4K

How much do data engineer contract jobs pay per year?

As of May 28, 2026, the average yearly pay for data engineer contract in Palatine, IL is $130,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $138,200.00 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 Palatine, IL? The most popular types of Data Engineer jobs in Palatine, IL are:
What are popular job titles related to Data Engineer Contract jobs in Palatine, IL? For Data Engineer Contract jobs in Palatine, IL, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Palatine, IL look for? The top searched job categories for Data Engineer Contract jobs in Palatine, IL are:
What cities near Palatine, IL are hiring for Data Engineer Contract jobs? Cities near Palatine, IL with the most Data Engineer Contract job openings:
Infographic showing various Data Engineer Contract job openings in Palatine, IL as of May 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $130,375 per year, or $62.7 per hour.
Data Engineer - Manager

Data Engineer - Manager

PeopleCaddie

Chicago, IL • Remote

$80 - $85/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Description:
Title: Senior Data Engineer - Contract
Client: Large Public Accounting Firm
Engagement: 6-12 Months+ Contract
Work Model: Fully Remote
Rate: $80-$85/hour (C2C)
Role Overview
The Senior Data Engineer plays a critical role in advancing a modern, enterprise-wide data strategy focused on enabling data-driven decision-making, advanced analytics, and AI-powered insights. This role supports a centralized Data & Analytics function aligned to core technology pillars including Application Modernization, AI, and Data.
You will be responsible for designing, building, optimizing, and maintaining scalable data platforms and pipelines that support analytics, reporting, AI/ML, and operational intelligence across the organization. This is a senior, hands-on engineering role requiring deep technical expertise, strong collaboration skills, and the ability to translate complex data challenges into reliable, high-value solutions.
Key Responsibilities
  1. Design, develop, and maintain scalable and resilient data pipelines for ingesting, transforming, and delivering data from diverse internal and external sources.
  2. Integrate data across databases, data warehouses, APIs, and third-party platforms while ensuring data accuracy, consistency, and integrity.
  3. Apply data cleansing, validation, aggregation, enrichment, and transformation techniques to prepare analytics-ready datasets.
  4. Optimize data pipelines and processing workflows for performance, scalability, reliability, and cost efficiency.
  5. Monitor and tune data systems; identify performance bottlenecks and implement indexing, caching, and optimization strategies.
  6. Embed data quality checks, validation rules, and governance controls directly within data pipelines.
  7. Collaborate with architects, data scientists, AI engineers, and analysts to support advanced analytics, business intelligence, and AI/ML use cases.
  8. Take ownership and accountability for maximizing the value of enterprise data assets used for insights, automation, and decision support.
  9. Clearly communicate complex technical concepts to both technical and non-technical stakeholders, including senior leadership.
Required Experience & Qualifications
Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related quantitative field.
8+ years of experience in data engineering, including:
  1. Data modeling and architecture
  2. ETL / ELT and data integration
  3. Data warehousing and analytics platforms
  4. Data quality, master data management, and governance
  5. Business intelligence and advanced analytics (predictive and prescriptive)
Strong programming experience with Python, SQL, Java, and/or C#.
Hands-on experience with modern data platforms and tools, including:
  1. Microsoft Azure technologies (SQL Server IaaS/PaaS, Synapse, Cosmos DB, Azure Data Factory, Databricks, HDInsight, Fabric, Power BI)
  2. Informatica Cloud (CIH, DIH, CDGC, Master Data Management, Data Quality)
  3. Snowflake and other leading cloud data technologies

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