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Remote Data Engineer Jobs in Mount Prospect, IL (NOW HIRING)

Resource Innovations

Energy Engineer

Chicago, IL · Remote

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

VeeRteq Solutions Inc.

Data Modeler

Chicago, IL · Remote

$56 - $72.75/hr

Remote (Prefer PST, 2nd Preference CST) USA Experience: Minimum 10+ years As a Senior Data Modeler ... Collaborate with ETL and Data Engineering teams on data ingestion, orchestration, and ...

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 ...

Derex Technologies, Inc.

AI Engineer

Chicago, IL · On-site +1

Chicago, IL - Remote Responsibilities: * As a LLM Full Stack Engineer, you will be responsible for ... Additionally, expert proficiency in Google Cloud Data Services, Database Management, Front-End ...

Anomalix

Remote Consulting Engineer

Chicago, IL · On-site +1

Remote Consulting Engineer Company: Anomalix Inc. Location: Remote - Work from home - 75% travel to ... Intermediate to expert level skills (2-5 years) with SQL Server Data Tools to create SSIS packages ...

Anomalix

Remote Consulting Engineer

Chicago, IL · Remote

Remote Consulting Engineer Company: Anomalix Inc. Location: Remote - Work from home - 75% travel to ... Intermediate to expert level skills (2-5 years) with SQL Server Data Tools to create SSIS packages ...

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Showing results 41-60

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Mount Prospect, IL

Remote Data Engineer information

See Mount Prospect, IL salary details

$44.2K

$128.9K

$176.3K

How much do remote data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data engineer in Mount Prospect, IL is $128,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,600.00 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 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.

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 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.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Mount Prospect, IL? The most popular types of Data Engineer jobs in Mount Prospect, IL are:
What are popular job titles related to Remote Data Engineer jobs in Mount Prospect, IL? For Remote Data Engineer jobs in Mount Prospect, IL, the most frequently searched job titles are:
What cities near Mount Prospect, IL are hiring for Remote Data Engineer jobs? Cities near Mount Prospect, IL with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Mount Prospect, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,872 per year, or $62 per hour.

Data & Analytics Engineer (Microsoft Fabric)

Gulf Coast Automation Group

Chicago, IL • Remote

$110K - $130K/yr

Full-time, Contractor

Medical, Retirement, PTO

Posted 25 days ago

Job description

Job Title: Data & Analytics Engineer (Microsoft Fabric)
Primary Location: 2 days a week in Chicago's north Suburbs
Position Type: Direct hire
Overview
TalentFish is casting a line for a Data & Analytics Engineer to join a remote Contract-to-Hire opportunity with a client based in Illinois.
This role is ideal for a hands-on data professional who will serve as the client's internal Microsoft Fabric and Data Engineering subject matter expert (SME). The successful candidate will lead the design, development, and optimization of modern data solutions while driving best practices across Microsoft Fabric, Azure Databricks, SQL, and Power BI. You will partner with business and technical stakeholders to build scalable data platforms, establish governance standards, and deliver trusted analytics that support strategic business decisions.
What You Bring to the Role (Ideal Experience)

  • 6–8+ years of experience in Data Engineering, Data Analytics, Data Architecture, or a related discipline.
  • Bachelor's degree or equivalent combination of education and professional experience.
  • Advanced SQL skills, including data modeling, query optimization, and performance tuning.
  • Deep experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and Fabric Pipelines.
  • Strong experience with Azure Databricks, Delta Lake, Spark, and modern ELT/ETL development.
  • Experience designing scalable data architectures and enterprise data platforms.
  • Strong understanding of data governance, security, metadata management, and data quality best practices.
  • Experience integrating Microsoft Fabric with Azure Databricks using OneLake shortcuts and Delta Sharing.
  • Proficiency with Power BI, including semantic models, DAX, and enterprise reporting.
  • Experience with Azure DevOps, Git, CI/CD pipelines, and release management.
  • Experience supporting enterprise analytics initiatives and collaborating with cross-functional teams.
  • Strong analytical, communication, and stakeholder management skills.

What You'll Do

  • Serve as the client's internal Microsoft Fabric expert, providing technical leadership and guidance on enterprise data architecture and platform capabilities.
  • Design, build, and maintain scalable data pipelines and modern data solutions using Microsoft Fabric, Azure Databricks, SQL, and Power BI.
  • Architect and optimize Lakehouse and Warehouse solutions within Microsoft Fabric.
  • Develop enterprise data models that support reporting, analytics, and AI initiatives.
  • Design and implement robust ELT/ETL processes for structured and semi-structured data.
  • Establish and promote data engineering best practices, governance standards, and data quality processes.
  • Build secure, scalable, and high-performing data environments across Microsoft Fabric and Azure.
  • Integrate Microsoft Fabric and Azure Databricks through OneLake shortcuts, Delta Sharing, and modern data architecture patterns.
  • Partner with business stakeholders to translate requirements into scalable data and analytics solutions.
  • Support Data Engineering, Analytics, BI, and Data Science teams by providing reliable and governed data assets.
  • Develop executive dashboards, KPIs, and analytical reporting using Power BI.
  • Manage Azure DevOps repositories, pipelines, and deployment processes supporting continuous delivery.
  • Monitor and optimize platform performance, data pipelines, and storage utilization.
  • Evaluate and recommend emerging Microsoft data technologies and Fabric capabilities to continuously improve the client's data ecosystem.
  • Act as the primary point of contact for Microsoft Fabric architecture, data engineering strategy, and platform best practices across the organization.

Compensation Information
The expected compensation for this position is $110-130K yearly, depending on experience and qualifications. This Contract-to-Hire opportunity also offers comprehensive benefits, including health insurance, 401(k), and paid time off.
TalentFish is committed to pay transparency and equal opportunity. The salary range provided complies with applicable state and federal regulations.
This position requires authorization to work in the United States without current or future visa sponsorship.
All offers are contingent upon successful completion of a background check, which may include employment verification, education verification, reference checks, criminal history, drug screening, and other client-specific compliance requirements.
TalentFish is an employee-owned company transforming IT staffing through innovative technology, AI-driven recruiting, and an exceptional client and consultant experience.
TalentFish is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees.