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

Crash Champions

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 ...

Benchmark Solutions LLC

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Fortune Brands

Lead Data Engineer

Deerfield, IL · On-site +1

$160K - $193K/yr

Lead Data Engineer, Fortune Brands Innovations Group, Inc., Deerfield, IL. Administer a cloud data ... Experience may be gained concurrently. 100% remote. Apply online at: www.fbin.com/careers ...

Resource Innovations

Energy Engineer

Chicago, IL · On-site +1

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

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 ...

Paychex

Data Solutions Engineer

Chicago, IL · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

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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 Jul 20, 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $128,872 per year, or $62 per hour.
Data Engineer (Data Operations), IQVIA Digital (Remote)

Data Engineer (Data Operations), IQVIA Digital (Remote)

IQVIA

Rosemont, IL • Remote

$115K - $138K/yr

Full-time

Re-posted 14 days ago

IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

55th of 210 rated it services

Job description

IQVIA Digital powers exceptional brand experiences, delivering innovative solutions based on a customer-first, insights-driven, and integrated omnichannel vision.We provide authenticated, privacy-enhanced data and analytics, innovative fit-for-purpose healthcare technology, and the expertise to enable an effective and adaptable marketing model that drives better quality of care and patient outcomes. IQVIA is the leading global provider of data, advanced analytics, technology solutions and clinical research services for the life sciences industry. Learn more at www.iqviadigital.com

The Data Management team is responsible for developing, governing, and operationalizing IQVIA Digital's industry-leading healthcare and consumer data assets, which serve as the foundation for our products, analytics, business intelligence, and AI-enabled solutions. Working closely with Product and Technology teams, the organization ensures the quality, integrity, security, and scalability of data across the ecosystem. Leveraging robust data management practices and a privacy-by-design foundation, the team transforms complex data into trusted assets and actionable insights that drive innovation, inform strategic decisions, and deliver measurable value for clients across the healthcare marketing landscape.

The Data Engineer (Data Operations)is responsible forbuilding,maintaining, andoptimizingdownstream data pipelines and analytics-ready datasets that power business intelligence and reporting.This role focuses on data troubleshooting, transformation, and delivery, ensuring that upstream data is validated and converted into reliable, curated data sources for BI and analytics teams. The individual will work hands-on withSnowflake, SQL, and Pythonto develop data models, resolve data issues, and support production data operations, enabling the BI team to efficiently consume high-quality data through their visualization tools.Experiencewith R is a plus, as wetransitionfrom R intonew technologies.

Essential Functions

  • Build andmaintaincurated data layers and data sources

  • Develop and optimize SQL- and Python-based transformations in Snowflake

  • Troubleshoot data quality issues originating from upstream pipelines, including identifying root causes and coordinating fixes where needed

  • Validate incoming datasets and ensure accuracy, completeness, and consistency before they are surfaced to downstream users

  • Design and manage analytics-ready data models and tables to support reporting and dashboards

  • Serve as a key point of contact forreporting data layersensuring data sources meet usability and performance needs

  • Monitor data pipelines and datasets for failures, anomalies, and performance issues, and proactively resolve them

  • Support production operations, including incident management, backlog prioritization, and SLA adherence

  • Partner with upstream engineering teams to escalate and resolve ingestion-related issues, while not owning ingestion directly

  • Improve processes for data validation, monitoring, and operational efficiency

Qualifications

  • Bachelor's degree

  • 3+ years of experience in data engineering, data operations, or backend data development

  • Strong hands-on experience with:

  • Snowflake (data warehouse design, optimization, and management)

  • SQL (advanced querying, performance tuning, and data transformation)

  • Python (data processing, scripting, and automation)

  • Proven experience building and supporting production-grade data pipelines and workflows

  • Strong experience with ETL/ELT tools, orchestration frameworks (e.g., Airflow,Atomic), or similar pipeline management tools

  • Experience troubleshooting data issues, pipeline failures, and data inconsistencies, with strong root cause analysis skills

  • Solid understanding of data modeling, data warehousing concepts, and data lifecycle management

  • Familiarity with CI/CD, version control (Git), and production deployment practices

  • Strong problem-solving skills and ability to work independently in fast-paced environments

  • Excellent communication skills with the ability to explain data issues and solutions to both technical and non-technical stakeholders

  • Experience working with healthcare, pharmaceutical, or life sciences data strongly preferred

#iqviadigital

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $69,300.00 - $173,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

Pay

Benefits

Hours and flexibility

Workplace

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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