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

Collectiv

Data & Analytics Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data & Analytics Engineer is Collectiv's most versatile technical consultant ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Collectiv

Data & Analytics Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data & Analytics Engineer is Collectiv's most versatile technical consultant ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

UnitedHealth Group

Senior Data Engineer (DBA)

Schaumburg, IL · Remote

$104K - $141K/yr

As a Senior Data Engineer / Senior Database Administrator within Optum Technology supporting OptumCare products-including Curo, Order Utility, and Optum Pro-you will design, implement, and maintain ...

New

Proximie

Data Integration Engineer, EHR

Chicago, IL · On-site +1

Once practitioners are in the OR, our Surgical Suite enables real-time remote access and creates a ... agile Data Integration Engineer to spearhead the integration of our platform with customer ...

Shure

Quality Data Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... Engineer. This Internship is Onsite or Hybrid based in Niles, IL. * Conducting quality data ...

Shure

Quality Data Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And ...

Shure

Quality Data Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And ...

Shure

Quality Data Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And ...

ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Collaborate with cross-functional teams, including engineering, data, and business stakeholders ...

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Showing results 41-60

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Addison, IL

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 Sep 14, 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 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 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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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?

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Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Addison, 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $129,959 per year, or $62.5 per hour.

Data & Analytics Engineer

Chicago, IL • On-site, Remote

Collectiv
IT Services • 51 - 200 employees
Learn more about Collectivexternal

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago

Job description

Role Overview
The Data & Analytics Engineer is Collectiv's most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery capabilities. This role closes the gap between backend data platform work and front-end analytics, enabling a single consultant to take a client from raw data ingestion through to polished, insight-ready dashboards.
You design and implement modern lakehouse architectures on Microsoft Fabric and Databricks, build performant ELT/ETL pipelines, develop rich semantic models, and deliver complex Power BI reports, all while acting as a trusted technical advisor to enterprise clients. You thrive on translating ambiguous business requirements into scalable, well-documented technical solutions and are equally comfortable deep in Spark transformations or fine-tuning DAX formulas.
This role sits at the intersection of Collectiv's Data Engineering and Senior Power BI Consultant practices and is designed for experienced professionals who refuse to choose a lane.
Key Responsibilities
Data Platform & Lakehouse Engineering
  • Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory) 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 data models (star schemas, semantic models, lakehouse patterns)
  • 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 all data engineering workflows

Power BI & Analytics Delivery
  • Design and implement complex data models utilizing Power BI, including enterprise-grade semantic layer development
  • Create visually compelling, interactive reports and dashboards that drive measurable client decisions
  • Develop, optimize, and peer-review DAX formulas for accuracy and performance at scale
  • Integrate data from diverse sources into Power BI, leveraging SQL skills for efficient extraction and transformation
  • Ensure data quality, reliability, and usability across the analytics platform
  • Enable self-service analytics by partnering with client business teams to deliver trusted datasets and dashboards

Client Consulting & Advisory
  • Work directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations
  • Provide expert guidance on Power BI solutions and data platform decisions; ensure precision in all data discussions
  • Conduct in-depth research on emerging tools and trends to keep clients ahead of the curve
  • Act as a core technical asset in Collectiv's marketing and business development efforts
  • Facilitate training sessions and support client teams through platform adoption and change
  • Build strong client relationships through clear communication, confidence with stakeholders, and a warm, personable presence
  • Take a proactive approach to delivery and client relationships by anticipating needs, following through on commitments, and looking for opportunities to add value

Engineering Excellence & Collaboration
  • Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals
  • Ensure solutions meet quality criteria related to performance, scalability, security, and maintainability
  • Contribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv
  • Participate in post-project retrospectives and contribute to Collectiv's data platform standards

Required Qualifications
  • Bachelor's degree from an accredited university
  • 5+ years of combined experience in data engineering, analytics engineering, and/or BI consulting
  • Hands-on production experience with Microsoft Fabric and/or Databricks (both strongly preferred)
  • Advanced proficiency in Power BI, including complex data modeling, DAX authoring, and performance optimization
  • Power BI dataset modeling at enterprise scale and embedding/API scenarios
  • Strong SQL skills, including performance tuning and analytical query design
  • Experience designing analytics data models (star schemas, semantic models, lakehouse patterns)
  • Demonstrated ability to integrate data from diverse sources into both data platforms and BI tools
  • Proven track record in a client-facing consulting role, working independently and managing stakeholder expectations
  • Strong written and verbal communication style; data-filled, precise, and client-ready

Preferred Qualifications
  • Experience migrating or modernizing legacy data warehouses to lakehouse architectures
  • Experience integrating data platforms with downstream applications or external APIs
  • Consulting experience spanning multiple clients, industries, or verticals
  • Relevant certifications: Azure Solutions Architect, Azure Data Engineer, Microsoft Fabric (DP-600/DP-700), Databricks certifications
  • Exposure to advanced analytics use cases: AI/ML model integration, predictive dashboards, or advanced statistical analysis

What Success Looks Like
  • Clients trust you as their go-to technical advisor across both data platform and analytics decisions
  • Delivered solutions are scalable, well-documented, secure, and aligned to best practices
  • Consistently maintain a minimum 75% utilization rate by balancing high-quality client delivery, internal collaboration, and business priorities.
  • Business users are fully enabled through reliable semantic models and analytics-ready datasets
  • Power BI reports you build are cited by clients as transformative to their decision-making process
  • You actively contribute to Collectiv's data platform standards and continuously raise the bar for consulting excellence
  • You serve as a force multiplier; unblocking teammates and elevating the quality of every engagement you touch

Why Collectiv
Join Collectiv for a rewarding career in a fully remote work environment with quarterly in-person team experiences and 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.
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: We help enterprises make better decisions.

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