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

Data Engineer (Remote)

Chicago, IL · 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 ...

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

Data Engineer (Azure)

Chicago, IL · On-site +1

$118K - $141K/yr

About the Role We're seeking a highly skilled and motivated hands-on Data Engineer to design, build ... Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL ...

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/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 (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/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

$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 Engineer

Chicago, IL · On-site +1

$118K - $141K/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 ...

As a Data Analyst, you will be responsible assisting with resolution of consumer/commercial card and loan bank wide issues. You will be identifying impacted accounts based on requirements. As a Data ...

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Lead Data Engineer Firm Overview Hinshaw & Culbertson LLP is a national law firm with more than 500 attorneys and professionals across the United States. Founded in 1934 and headquartered in Chicago ...

Senior Data Engineer (Snowflake)

Chicago, IL · On-site +1

$109K - $148K/yr

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your ... We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake to help ...

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Senior Data Engineer

Chicago, IL · On-site +1

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... 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 · On-site +1

$109K - $148K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

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Showing results 1-20

Remote Data Engineer information

See Schaumburg, IL salary details

$43.7K

$127.4K

$174.3K

How much do remote data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote data engineer in Schaumburg, IL is $127,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $135,000.00 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.

What are the most commonly searched types of Data Engineer jobs in Schaumburg, IL?

The most popular types of Data Engineer jobs in Schaumburg, IL are:

What are popular job titles related to Remote Data Engineer jobs in Schaumburg, IL?

For Remote Data Engineer jobs in Schaumburg, IL, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Schaumburg, IL look for?

The top searched job categories for Remote Data Engineer jobs in Schaumburg, IL are:

What cities near Schaumburg, IL are hiring for Remote Data Engineer jobs?

Cities near Schaumburg, IL with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Schaumburg, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $127,377 per year, or $61.2 per hour.

Data Engineer (Remote)

Chicago, IL • Remote

$117K - $140K/yr

Full-time

Retirement

Re-posted 5 days ago


Job description

About RxSaveCard

RxSaveCard was founded in 2024 with a mission to reduce pharmacy costs for employers and their employees. Our innovative model is unique in the market, and we are building a modern, card-based approach to prescription benefits that simplifies a complicated system. Our innovative model is unique in the market, backed by financial partners at Distributed Ventures and Rock Health. 

We are a fast-growing company solving real problemsand we're looking for people who can operate at the intersection of data, operations, and client experience.

Position Overview

This role sits at the foundation of our data platformfocused on building, scaling, and securing the pipelines and systems that power RxSaveCard.  This role will start with existing processes that are largely manual and bespoke today, but will play a leading role in the evolution toward more scalable solutions.

You will design and manage data infrastructure that processes large, complex datasets, including prescription (Rx) data from our partners, eligibility files, transaction data, and financial flows. This is highly sensitive healthcare and financial data, where accuracy, reliability, and security are non-negotiable.

This is a role for someone who wants to build systemsnot just handle dataand who takes pride in making data pipelines performant, resilient, and scalable.

Key Responsibilities Data Engineering
  • Design, build, and maintain scalable data pipelines for ingesting and processing large datasets (Rx claims, eligibility, transactions, funding data)
  • Develop ETL/ELT processes to transform and normalize data from multiple partner systems
  • Optimize data storage and retrieval for performance, cost, and scalability
  • Ensure high data quality through validation, monitoring, and automated checks
Data Operations & Analysis
  • Build and maintain data infrastructure using modern tools (cloud data warehouses, distributed processing frameworks, etc.)
  • Partner with engineering to integrate data systems into core product workflows
  • Design systems that can scale with rapid growth in data volume and partner integrations
  • Implement observability (logging, monitoring, alerting) for data pipelines
Data Integrity & Security
  • Handle sensitive healthcare (HIPAA) and financial data with strict adherence to security best practices
  • Implement encryption, access controls, and audit logging across data systems
  • Ensure data handling aligns with regulatory and partner requirements
  • Design systems that preserve data integrity and support auditability
Automation & Process Improvement
  • Develop scripts and tools (primarily in Python or similar) to automate workflows
  • Reduce manual processes and improve data reliability and scalability
  • Partner with engineering to productionize solutions when appropriate
  • Anticipate issues and own the resolutions to problems

Project & Workflow Management
  • Own operational workflows and ensure clear ownership of deliverables
  • Own incident response and root cause analysis for data-related issues
  • Track tasks, timelines, and dependencies across multiple workstreams
  • Bring structure and visibility to ambiguous or evolving processes
Qualifications Core Capabilities
  • Exceptional organizational skills with the ability to manage multiple priorities without dropping details
  • Strong written and verbal communication skills with both clients and technical teams
  • Proven ability to operate independently in a fast-moving, ambiguous environment
Data & Technical Skills
  • Advanced proficiency in Excel or Google Sheets (formulas, data manipulation, analysis)
  • Experience working with structured data (CSV files, databases, APIs)
  • Working knowledge of SQL or similar query languages
  • Experience with scripting languages such as Python (preferred), or similar (JavaScript, Bash)
  • Ability to debug data issues and trace problems across systems
Security & Efficiency
  • Demonstrated experience handling sensitive data with a high degree of care and accountability
  • Systems thinker who looks beyond one-off fixes to scalable solutions
  • Bias toward solutions and an iterative approach, without getting bogged down 
Nice to Have
  • Prior startup or growth-stage experience is a strong plus
  • Prior experience within startups, security-minded organizations, or HR employee benefits
The Right Culture Fit for This Role
  • Mission-minded to help people and bring solutions to a very challenging and broken industry
  • Scrappy and resilient to thrive in an early-stage company and rise to the challenge of doing new and scary things
  • Intelligence, curiosity, and drive to anticipate problems and turn them into business opportunities
  • Hardworking and responsible, to be a trusted member of our growing team
  • Mindful and balanced to avoid burnout
  • Kindness and camaraderie to add to the culture at RxSaveCard
Why RxSaveCard?
  • Opportunity to join an innovative company at a critical growth stage
  • Competitive salary and benefits package, including insurance and 401k with match
  • Company ownership in the form of equity
  • Remote or hybrid Chicago work flexibility
  • Collaborative and dynamic team environment
  • The chance to make a meaningful impact on healthcare costs for millions of employees
How to Apply

If you're excited about making prescription drugs more affordable and want to be an early employee at a start-up company, we'd love to hear from you! Applicants should submit a cover letter that highlights what they bring to the role beyond what's provided here. If you're referring someone, please mention it in the letter as well. The position requires background screening.