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Data Engineer C2C Remote Jobs in Chicago, IL (NOW HIRING)

Data Engineer (Remote)

Chicago, IL · Remote

$117K - $140K/yr

Key Responsibilities Data Engineering * Design, build, and maintain scalable data pipelines for ... Remote or hybrid Chicago work flexibility * Collaborative and dynamic team environment * The chance ...

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives ...

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Overview Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader ...

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Overview Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader ...

Lead Data Engineer

Chicago, IL · Remote

$105K - $139K/yr

Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader with 125 ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Senior Data Engineer (Snowflake)

Chicago, IL · On-site +1

$109K - $148K/yr

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your ... We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake to help ...

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Senior Data Engineer

Chicago, IL · On-site +1

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Senior Data Engineer - Remote

Westmont, IL · Remote

$106K - $144K/yr

Responsibilities Crash Champions is seeking a Senior Database Engineer to join our IT Data Analytics team which supports Data andReportinginitiatives across the organization. The primary ...

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Data Engineer C2C Remote information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do data engineer c2c remote jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data engineer c2c remote in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a data engineer c2c remote?

Data Engineer C2C Remote jobs refer to contract positions for data engineers that are fulfilled remotely and use a 'Corp-to-Corp' (C2C) arrangement. In C2C, a contractor works through their own corporation or as part of a consulting company rather than as a direct employee or individual contractor (W2 or 1099). Data engineers in these roles are responsible for designing, building, and maintaining data pipelines and infrastructure, usually for clients across different locations. These remote roles offer flexibility in work location and are common in the tech industry, especially for specialized projects.

What skills and qualifications are needed to thrive as a data engineer in a remote C2C setting?

To thrive as a Data Engineer C2C Remote, you need expertise in data modeling, ETL processes, and proficiency in programming languages like Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), big data tools (like Hadoop or Spark), and relevant certifications (such as AWS Certified Data Analytics) is highly valued. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote environment. These skills and qualities are crucial for building scalable data solutions, ensuring data integrity, and delivering results in a distributed team setting.

What are common challenges data engineers face when working in a fully remote C2C arrangement?

Data Engineers working remotely on a C2C basis often encounter challenges such as aligning with distributed teams across different time zones, ensuring secure data access, and managing communication with multiple stakeholders. Since C2C roles are typically contract-based, there can be less direct oversight and more emphasis on delivering results independently, which requires strong self-management and proactive reporting. Additionally, integrating with existing data infrastructure remotely may involve navigating different security protocols and adapting to each client’s unique tech stack.

What are popular job titles related to Data Engineer C2C Remote jobs in Chicago, IL?

For Data Engineer C2C Remote jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineer C2C Remote jobs in Chicago, IL look for?

The top searched job categories for Data Engineer C2C Remote jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Engineer C2C Remote jobs?

Cities near Chicago, IL with the most Data Engineer C2C Remote job openings:

Infographic showing various Data Engineer C2C Remote job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Data Engineer Manager- Contract

Rolling Meadows, IL • Remote


Gallagher
Insurance Services • 10K+ employees

7.6

Company rating: 7.6 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

215th of 315 rated insurance

Good employer

Recommended by parents

Respectful managers


Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 24 days ago


Job description

Introduction
Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together. Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way.

Overview

Overview

The Data Engineering Manager will be responsible for the design, development, implementation, and support of the Data Initiatives throughout Gallagher, ensuring that optimal data delivery architecture is consistent across ongoing projects. You will lead and mentor data engineers and data scientists, ensuring alignment with business goals and fostering collaboration across multiple teams, systems, and products. You will also oversee deliverables and provide ongoing support to ensure project success and operational excellence. Do you find the prospect of optimizing or even re-designing our company's integration and data architecture to support our next generation of products and data initiatives most exciting? We really should explore together. 

Please note additional position details below:

  • This is a Temp-To-Hire, W-2 position.  We are not able to do 1099 or C2C.
  • It is a fully remote role that will need to be based in the U.S. 
  • You must meet our U.S. Eligibility requirements for work authorization as noted under "Additional Information" at the bottom of the job description.

How you'll make an impact

How you'll make an impact

Leadership and Strategy:

  • Lead requirements gathering, scope definition, and technical design of integration workflows, ensuring alignment with business objectives and providing strategic direction to the team.
  • Experience managing and mentoring a team of Data Engineers (onsite and offshore).
  • Proactively identify risks and uncertainties in data initiatives, and develop strategies to mitigate them while ensuring project success.

Team and Stakeholder Management:

  • Provide leadership, direction, and coordination for development and support teams, including globally located resources, ensuring effective communication and collaboration.
  • Act as a liaison between technical teams and business users, ensuring that data solutions meet business needs and addressing concerns or uncertainties effectively.
  • Manage deliverables across multiple teams, ensuring timely completion and alignment with business priorities.

Technical Contributions:

  • Seek out, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
  • Build the infrastructure required for optimal ETL/ELT pipelines to ingest data from a wide variety of data sources using Microsoft Azure technologies such as Azure Data Factory and Databricks.
  • Construct and maintain enterprise-level integrations using the Snowflake platform, Azure Synapse, Azure SQL, and SQL Server.
  • Create data tools for data analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.

Problem Solving and Troubleshooting:

  • Lead troubleshooting efforts, driving root-cause analysis, and coordinating with infrastructure teams to resolve incidents while maintaining transparency with stakeholders.
  • Design analytics tools that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Provide ongoing support for data systems and integrations, ensuring reliability and performance while addressing issues promptly.

About You

About you

Required:

  • A relevant technical BS Degree in Information Technology.
  • Proven experience in leading cross-functional teams, managing business users, and driving alignment between technical and business objectives.
  • 3+ years of experience leading a technical team.
  • 7+ years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server.
  • Experience with scripting tools such as Power Shell, Python, Scala, Java, and XML.
  • Understanding the pros and cons, and best practices of implementing Data Lake, using Microsoft Azure Data Lake Storage.
  • Experience structuring Data Lake for reliability, security, and performance.
  • Experience implementing ETL for Data Warehouse and Business Intelligence solutions.
  • Skills to read and write effective, modular, dynamic, parameterized, and robust code, establish and follow already established code standards, and ETL framework.
  • Strong analytical, problem-solving, and troubleshooting abilities.
  • Good understanding of unit testing, software change management, and software release management.
  • Knowledge of DevOps processes (including CI/CD) and Infrastructure as Code fundamentals.
  • Experience performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.
  • Experience working within an agile team.
  • Exceptional communication and interpersonal skills, with the ability to influence and guide stakeholders at all levels.
  • Demonstrated ability to manage relationships with business users, address their concerns, and ensure their needs are met through effective communication and collaboration.
  • Experience in navigating ambiguity and uncertainty in projects, with a track record of delivering successful outcomes.
  • Proven experience managing deliverables across multiple teams and providing ongoing support for data systems and integrations.

#LI-NJ1

#Contingent

#APintegration


Compensation and benefits

We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, complexity or scope, specialized skill set, lines of business/practice area, supply/demand, and scheduled hours. On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. 

Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:

  • Medical/dental/vision plans, which start from day one!
  • Life and accident insurance
  • 401(K) and Roth options
  • Tax-advantaged accounts (HSA, FSA)
  • Educational expense reimbursement
  • Paid parental leave

Other benefits include:

  • Digital mental health services (Talkspace)
  • Flexible work hours (availability varies by office and job function)
  • Training programs
  • Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
  • Charitable matching gift program
  • And more...

**The benefits summary above applies to fulltime positions. If you are not applying for a fulltime position, details about benefits will be provided during the selection process.

We value inclusion and diversity

Click Here to review our U.S. Eligibility Requirements

Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.

Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.

Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.

Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

Qualifications:

About you

Required:

  • A relevant technical BS Degree in Information Technology.
  • Proven experience in leading cross-functional teams, managing business users, and driving alignment between technical and business objectives.
  • 3+ years of experience leading a technical team.
  • 7+ years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server.
  • Experience with scripting tools such as Power Shell, Python, Scala, Java, and XML.
  • Understanding the pros and cons, and best practices of implementing Data Lake, using Microsoft Azure Data Lake Storage.
  • Experience structuring Data Lake for reliability, security, and performance.
  • Experience implementing ETL for Data Warehouse and Business Intelligence solutions.
  • Skills to read and write effective, modular, dynamic, parameterized, and robust code, establish and follow already established code standards, and ETL framework.
  • Strong analytical, problem-solving, and troubleshooting abilities.
  • Good understanding of unit testing, software change management, and software release management.
  • Knowledge of DevOps processes (including CI/CD) and Infrastructure as Code fundamentals.
  • Experience performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.
  • Experience working within an agile team.
  • Exceptional communication and interpersonal skills, with the ability to influence and guide stakeholders at all levels.
  • Demonstrated ability to manage relationships with business users, address their concerns, and ensure their needs are met through effective communication and collaboration.
  • Experience in navigating ambiguity and uncertainty in projects, with a track record of delivering successful outcomes.
  • Proven experience managing deliverables across multiple teams and providing ongoing support for data systems and integrations.

#LI-NJ1

#Contingent

#APintegration

Education:UNAVAILABLEEmployment Type: UNAVAILABLE


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