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Remote Data Engineering Jobs in Chicago, IL (NOW HIRING)

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL ยท On-site +1

$118K - $141K/yr

Ensure data quality, reliability, and usability across the analytics platform Engineering Best ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Lead Data Engineer

Chicago, IL ยท 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 ยท 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 ยท 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 (Remote)

Chicago, IL ยท 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 ...

Data & Analytics Engineer

Chicago, IL ยท On-site +1

$118K - $141K/yr

Key Responsibilities Data Platform & Lakehouse Engineering * Design and implement modern data ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Data & Analytics Engineer

Chicago, IL ยท On-site +1

$118K - $141K/yr

Key Responsibilities Data Platform & Lakehouse Engineering * Design and implement modern data ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL ยท On-site +1

$126K - $166K/yr

Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ... Architect and enforce engineering standards across ingestion, transformation, feature engineering ...

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL ยท On-site +1

$126K - $166K/yr

Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ... Architect and enforce engineering standards across ingestion, transformation, feature engineering ...

Senior Data Engineer (Snowflake)

Chicago, IL ยท On-site +1

$109K - $148K/yr

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your ... Requirements: * 5+ years of professional Data Engineering experience. * 4+ years of hands-on ...

Data Engineer

Chicago, IL ยท Remote

$117K - $140K/yr

10+ years of IT experience, including deep expertise in data engineering & ETL. 4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines. Strong hands-on experience ...

Data Scientist

Chicago, IL ยท On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required.

Senior Data Engineer

Chicago, IL ยท On-site +1

$110K - $150K/yr

Beyond pure engineering, we expect some experience in database upkeep and maintenance, as well as ... 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 ยท On-site +1

$110K - $150K/yr

Beyond pure engineering, we expect some experience in database upkeep and maintenance, as well as ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Showing results 21-40

Remote Data Engineering information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do remote data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data engineering 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 remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data engineer?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

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

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

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

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

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

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

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

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

Infographic showing various Remote Data Engineering 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 (Azure, Fabric, Databricks)

Collectiv

Chicago, IL โ€ข On-site, Remote

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 15 days ago


Job description

Role Overview

The Data Engineer is responsible for designing, implementing, and supporting modern data platforms using Microsoft Fabric and Databricks, with a strong emphasis on lakehouse architecture, analytics engineering, and semantic modeling. This role is client-facing and requires translating business requirements into scalable technical solutions while adhering to data engineering best practices.

You will collaborate with client stakeholders, Collectiv consultants, and cross-functional teams to deliver data platforms that support reporting, advanced analytics, and self-service BI.

Key Responsibilities

Client Delivery & Solution Design

  • Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses)
  • Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices
  • Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products
  • Translate business and analytical requirements into technical designs and data models

Analytics & BI Enablement

  • Develop and maintain semantic models that enable performant reporting and self-service analytics
  • Partner with analytics and business teams to deliver trusted datasets and dashboards (Power BI or equivalent)
  • Ensure data quality, reliability, and usability across the analytics platform

Engineering Best Practices

  • Write, optimize, and tune SQL and Spark-based transformations for large-scale analytical workloads
  • Apply version control, CI/CD concepts, and code review standards to data engineering workflows
  • Ensure solutions meet quality criteria related to performance, scalability, and maintainability

Consulting & Collaboration

  • Work directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations
  • Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals
  • Contribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv

Required Qualifications

  • Bachelor's degree from an accredited university
  • 4+ years of experience in data engineering, analytics engineering, or data platform consulting
  • Hands-on experience with Microsoft Fabric and/or Databricks in production environments (experience with both strongly preferred)
  • Strong SQL skills, including performance tuning and optimization
  • Experience designing data models for analytics (star schemas, semantic models, lakehouse patterns)
  • Experience working in cloud data platforms (Azure preferred)
  • Ability to work independently in a client-facing consulting role

Preferred Qualifications

  • Experience migrating or modernizing data platforms (e.g., legacy DW to lakehouse)
  • Familiarity with Power BI dataset modeling and performance optimization
  • Experience integrating data platforms with downstream applications or APIs
  • Consulting experience with multiple clients or industries
  • Strong written and verbal communication skills
  • Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer), Fabric (DP-600, DP-700) certifications, and Databricks certifications are highly desirable

What Success Looks Like in This Role

  • Clients trust you as a technical advisor for their data platform decisions
  • Delivered solutions are scalable, well-documented, and aligned to best practices
  • Business users are enabled through reliable data models and analytics-ready datasets
  • You actively contribute to Collectiv's data platform standards and consulting excellence

Join Collectiv for a rewarding career in a fully remote work environment with quarterly in person team experiences and a competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.

Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.

Our mission at Collectiv is simple: We help enterprises make better decisions.

Our Core Values:

Growth Mindset - Bring solutions, not problems.

Excel with Humility - Be humbly brilliant.

Communicate Actively and Empathetically - Listen, ask, understand, help.

Work Hard, Play Hard - Results are proportional to effort.

Keep Calm and Carry On - Stay cool, calm and Collectiv.



Employment Type: FULL_TIME