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Weekend Financial Data Engineer Jobs in Chicago, IL

Sr. Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field. 5 to 8+ years of experience within the field of data engineering or ...

Who We Are Founded in 1980 as Aardvark Financial, TransMarket Group (TMG) is a privately held ... Description Our Data Engineering team designs, builds, and supports the data systems that power our ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

Senior Data Quality Engineer Job ID: P00002343 Location: Chicago, IL Duration: 12+Months Job ... Financial services or regulated-environment experience * Collibra * Real-time/streaming data ...

New

Who We Are Founded in 1980 as Aardvark Financial, TransMarket Group (TMG) is a privately held ... Description Our Data Engineering team designs, builds, and supports the data systems that power our ...

Software Engineer - Data Engineering

Chicago, IL ยท On-site

$118K - $141K/yr

They are seeking a Software Engineer for their Data Engineering team to design and maintain systems ... financial data experience not required, but a strong plus โ€ข Recent hands-on experience with AWS ...

Data Engineer, Python & ETL

Chicago, IL ยท On-site

$118K - $141K/yr

Chicago IL Jobs, Data Engineer, Python, Linux, MS SQL Server, SQL Query Writing, Stored Procedures, Data Models, ETL, Programmer Analyst, Programming, Software Developer, Trading, Financial, Chicago ...

Data Engineer III

Lake Forest, IL ยท On-site

$104K - $174K/yr

Employee discounts, tuition reimbursement, student loan refinancing and free access to financial ... Position Details Grainger is seeking a Data Engineer III to join our Machine Learning Engineering ...

Data Engineer III

Lake Forest, IL ยท Hybrid

$104K - $174K/yr

Employee discounts, tuition reimbursement, student loan refinancing and free access to financial ... Position Details Grainger is seeking a Data Engineer III to join our Machine Learning Engineering ...

Data Engineer III

Lake Forest, IL ยท Hybrid

$104K - $174K/yr

Employee discounts, tuition reimbursement, student loan refinancing and free access to financial ... Position Details Grainger is seeking a Data Engineer III to join our Machine Learning Engineering ...

Lead Data Engineer

Chicago, IL ยท On-site

$105K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Pricing Data Engineer

Chicago, IL ยท On-site

$110K - $169K/yr

That's why our benefits program supports your physical, emotional, mental, and financial health ... The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ...

Showing results 41-60

Weekend Financial Data Engineer information

See Chicago, IL salary details

$62.3K

$125.8K

$172.6K

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

As of Sep 11, 2026, the average yearly pay for weekend financial data engineer in Chicago, IL is $125,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $144,200.00 per year, depending on experience, location, and employer.

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

AspectWeekend Financial Data EngineerWeekend Financial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related; strong analytical skills
Work EnvironmentFocus on building data pipelines, managing databases, and infrastructureFocus on analyzing data, creating reports, and providing insights
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanking, investment firms, financial consultancies
Common Search & ComparisonOften compared based on technical skills and infrastructure tasksCompared based on analytical skills and reporting capabilities

The Weekend Financial Data Engineer primarily focuses on developing and maintaining data infrastructure, requiring technical skills in data engineering tools. In contrast, the Weekend Financial Data Analyst emphasizes analyzing financial data and generating insights. Both roles are vital in financial organizations but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Financial Data Engineer jobs in Chicago, IL?

The most popular types of Financial Data Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Weekend Financial Data Engineer jobs?

Cities near Chicago, IL with the most Weekend Financial Data Engineer job openings:

Infographic showing various Weekend Financial Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $125,793 per year, or $60.5 per hour.

Sr. Data Engineer

Chicago, IL โ€ข On-site

1 point system
IT Servicesย โ€ขย 51 - 200 employees

$118K - $141K/yr

Contractor

Re-posted 12 days ago


Job description

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 and applications. This includes researching, designing, documenting, and modifying software specifications throughout the production lifecycle. This role will also analyze and amend software errors in a timely and accurate fashion and provide status reports where required. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

POSITION RESPONSIBILITIES:

Work with Product team to determine requirements and propose approaches to address users' needs.

• Analyze requirements to determine approach/proposed solution.

• Design and Build Solutions using relevant programming language.

• Thoroughly test solutions using relevant approaches and tools

• Conduct research into software-related issues and products

• Bring out-of-box thinking and solutions to address challenging issues

• Effectively prioritize and execute tasks in a fast-paced environment

• Work both independently and in a team-oriented, collaborative environment

• Flexible and adaptable to learning and understanding new technologies

• Highly self-motivated and directed

• Demonstrate a commitment to client core values

• Exercise independent judgment in methods and techniques for obtaining results.

• Work in an agile/scrum environment.

EXPERIENCE AND QUALIFICATIONS:

Required Skills - Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners

• Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business

• Very good understanding of the full software development life cycle

• Very good understanding of Data warehousing concepts and approaches

• Experience in building Data pipelines and ETL approaches using Informatica IICS, Alteryx or any leading pipeline tool.

• Experience in building high-volume data workflows in a cloud environment

• Experience in building Data warehouse and Business intelligence projects

• Good Experience using Snowflake environment.

• Good Experience using streaming data using Kafka.

• Experience in data cleansing, data validation and data wrangling.

• Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift

• Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus

• Experience with Business Intelligence tools like Tableau, Cognos, ThoughtSpot, etc is a plus.

• Experience in one of the scripting languages: Python or Unix Scripting

• Proficient in SQL, PL/SQL, relational databases (RDBMS), database concepts and dimensional modeling

• Strong verbal and written communication skills

• Demonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environments.

• Resources should be able work along with On-site hours to participate in Req/Design discussions.

EDUCATION:

Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field.

5 to 8+ years of experience within the field of data engineering or related technical work including business intelligence, analytics.