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Remote Data Engineer Jobs in Addison, IL (NOW HIRING)

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141.60K/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

Chicago, IL · Remote

$118K - $141.80K/yr

Required Education • Bachelor's degree in computer programming or a relevant field. Technical Skills • Expert knowledge of logical data modeling and physical data modeling. • Expert knowledge ...

Senior Data Engineer

Chicago, IL · On-site +1

$109.20K - $148.30K/yr

Remote | Hybrid - United States; Chicago, New York, or Columbus, OH Main Responsibilities: * Design, build, and scale cloud-based data platforms and pipelines (batch and streaming) to support ...

Senior Data Engineer

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

Remote | Hybrid - United States; Chicago, New York, or Columbus, OH Main Responsibilities: * Design, build, and scale cloud-based data platforms and pipelines (batch and streaming) to support ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141.80K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141.60K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a ...

Data Engineer

Chicago, IL · On-site +1

$70K - $100K/yr

Data Engineer The Data Engineer will play a critical role in developing the data infrastructure that supports design, planning, construction analytics, and business operations across the firm. This ...

Sr. Data Engineer

Chicago, IL · On-site +1

$145K - $170K/yr

We are looking for a collaborative Senior Data Engineer . You have a strong inclination to work in ... New employee home office setup reimbursement This role can be remote in the United States or hybrid ...

Senior Data Engineer

Chicago, IL · On-site +1

$109.20K - $148.30K/yr

At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system ... Our team is 100% distributed and remote. Responsibilities: * Design and oversee key forward- and ...

Senior Data Engineer

Oak Brook, IL · On-site +1

$107K - $145.30K/yr

THE OPPORTUNITY Wavicle Data Solutions, LLC seeks a Senior Data Engineer in Oak Brook, IL. WHAT YOU WILL GET TO DO * Create the conceptual, logical and physical data models. * Build the ...

Senior Data Engineer

Oak Brook, IL · Remote

$107K - $145.30K/yr

THE OPPORTUNITY Wavicle Data Solutions, LLC seeks a Senior Data Engineer in Oak Brook, IL. WHAT YOU WILL GET TO DO * Create the conceptual, logical and physical data models. * Build the ...

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Remote Data Engineer information

See Addison, IL salary details

$44.6K

$130K

$177.8K

How much do remote data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data engineer in Addison, IL is $129,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $137,800.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

What are the most commonly searched types of Data Engineer jobs in Addison, IL? The most popular types of Data Engineer jobs in Addison, IL are:
What are popular job titles related to Remote Data Engineer jobs in Addison, IL? For Remote Data Engineer jobs in Addison, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Addison, IL look for? The top searched job categories for Remote Data Engineer jobs in Addison, IL are:
What cities near Addison, IL are hiring for Remote Data Engineer jobs? Cities near Addison, IL with the most Remote Data Engineer job openings:

Data Engineer (Azure, Fabric, Databricks)

Collectiv

Chicago, IL • On-site, Remote

$118K - $141.60K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 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.