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Weekend Data Engineer Contract Jobs in Cicero, IL

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 ...

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 ...

Controls Engineer - Contract

Hammond, IN · On-site

$80K - $104K/yr

CMM Programmer - Contract DISHER is seeking an experienced Controls Engineer for our customer in ... If you would like more information about how your data is processed, please contact us. apply for ...

Controls Engineer - Contract

Hammond, IN · On-site

$80K - $104K/yr

CMM Programmer - Contract DISHER is seeking an experienced Controls Engineer for our customer in ... If you would like more information about how your data is processed, please contact us.

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

Des Plaines, IL -- Hybrid, ~50% onsite Engagement: Long-term contract Experience: At least 10 years in Data Engineering, minimum 4 years with dbt Visa status : Open, but no OPT/CPT Industry: Healt ...

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

Des Plaines, IL -- Hybrid, ~50% onsite Engagement: Long-term contract Experience: At least 10 years in Data Engineering, minimum 4 years with dbt Visa status : Open, but no OPT/CPT Industry: Healt ...

This is a 6-month contract role for an early-career engineer who is ready to work across the stack ... Support and collaborate with other engineers, data scientists, and product managers * Review and ...

This is a 6-month contract role for an early-career engineer who is ready to work across the stack ... Support and collaborate with other engineers, data scientists, and product managers * Review and ...

This is a 6-month contract role for an early-career engineer who is ready to work across the stack ... Support and collaborate with other engineers, data scientists, and product managers * Review and ...

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S. Role Overview We are seeking a highly skilled GCP ...

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering ... Define data handling standards and document trust boundaries, data contracts, lineage, and ...

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering ... Define data handling standards and document trust boundaries, data contracts, lineage, and ...

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Requirement - Sr. Data Engineer Location- Chicago, IL (Hybrid- 03 days onsite and 02 days remote) Contract W2 PURPOSE : The Senior Data Engineer will design, code, test, and analyze software programs ...

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Weekend Data Engineer Contract information

See Cicero, IL salary details

$44.7K

$130.4K

$178.4K

How much do weekend data engineer contract jobs pay per year?

As of Aug 21, 2026, the average yearly pay for weekend data engineer contract in Cicero, IL is $130,360.00, 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 Weekend Data Engineer Contract?

A Weekend Data Engineer Contract is a temporary or freelance position where a data engineer works primarily on weekends. These roles typically involve building, maintaining, or optimizing data pipelines and databases, ensuring data quality, and supporting analytics needs during weekend shifts. This setup is often used by companies that require continuous data operations or have projects with tight deadlines. Weekend contracts can provide flexibility for both the engineer and the employer, and may be ideal for those seeking additional income or balancing other commitments.

What are some common challenges faced by Weekend Data Engineer Contractors, and how can they overcome them?

Weekend Data Engineer Contractors often encounter challenges such as limited access to stakeholders, tight turnaround times, and ensuring smooth handovers with weekday teams. To address these, clear documentation, proactive communication, and strong version control practices are essential. Working autonomously but staying aligned with the broader data engineering team helps ensure continuity and quality in deliverables.

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

To thrive as a Weekend Data Engineer Contractor, you need strong proficiency in data engineering principles, including ETL processes, database management, and programming languages like Python or SQL, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Strong problem-solving, effective communication, and the ability to work independently are crucial soft skills for this role. These skills and qualifications ensure high-quality, reliable data solutions are delivered efficiently during limited weekend hours, meeting project deadlines and client expectations.

What is the difference between Weekend Data Engineer Contract vs Weekend Data Analyst Contract?

AspectWeekend Data Engineer ContractWeekend Data Analyst Contract
Required CredentialsTypically requires a degree in Computer Science, Data Engineering certifications, SQL, Python, and cloud platform knowledgeUsually requires a degree in Data Science, Statistics, or related fields, with proficiency in SQL, Excel, and data visualization tools
Work EnvironmentPrimarily technical, involving building data pipelines, ETL processes, and data infrastructureFocuses on analyzing data, generating reports, and providing insights for decision-making
Employer & Industry UsageUsed in tech companies, finance, healthcare, and industries with large data needsCommon in marketing agencies, retail, finance, and any sector requiring data reporting

Weekend Data Engineer Contracts involve building and maintaining data infrastructure, requiring technical skills and certifications. In contrast, Weekend Data Analyst Contracts focus on analyzing data and creating reports. Both roles are in demand across various industries but serve different functions within data teams.

What are popular job titles related to Weekend Data Engineer Contract jobs in Cicero, IL?

For Weekend Data Engineer Contract jobs in Cicero, IL, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer Contract jobs in Cicero, IL look for?

The top searched job categories for Weekend Data Engineer Contract jobs in Cicero, IL are:

What cities near Cicero, IL are hiring for Weekend Data Engineer Contract jobs?

Cities near Cicero, IL with the most Weekend Data Engineer Contract job openings:

Infographic showing various Weekend Data Engineer Contract job openings in Cicero, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,360 per year, or $62.7 per hour.

$35 - $38/hr

Full-time

Posted 9 days ago


Job description

Data Engineer – PySpark, Databricks & AWS Redshift
Location: Chicago, IL (locals Only)
Employment Type: W2 Contract


Job Description
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 solid background in designing, building, and optimizing scalable data pipelines and data processing solutions in cloud-based environments.


Requirements
Required Qualifications
Atleast 7 plus years of Strong professional experience as a Data Engineer working with large-scale data platforms.
Extensive hands-on experience with PySpark.
Strong experience with Databricks, including developing and optimizing production data pipelines.
Strong hands-on experience with AWS Redshift.
Proficiency in Python and SQL.
Experience building and maintaining ETL/ELT pipelines and data processing workflows.
Strong understanding of data warehousing, data modeling, and distributed data processing concepts.
Experience working with cloud-based data platforms, preferably AWS.
Strong troubleshooting, performance-tuning, and problem-solving skills.
Prior experience within e-commerce, airlines, transportation, or logistics environments is highly desirable.