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

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 ...

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 ...

Federal Reserve Bank of Richmond

Data Architect

Chicago, IL · On-site +1

$65.75 - $84.50/hr

Enable advanced analytical capabilities for researchers and developers. * Partner with the ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE ... Develop feature engineering logic using structured and unstructured claims and incident data.

1 point system

Senior Data Scientist

Chicago, IL · Remote

Job Title Senior Data Scientist Location Remote Type of Hire 4 months contract They strictly want ... Develop feature engineering logic using structured and unstructured claims and incident data.

YO AI Labs

AI Data Scientist Expert - Remote

Chicago, IL · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

ZipRecruiter

Senior Software Engineer, Big Data

Chicago, IL · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

ZipRecruiter

Senior Software Engineer, Big Data

Chicago, IL · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

ZipRecruiter

Senior Software Engineer, Big Data

Chicago, IL · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

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Showing results 41-60

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

Remote Data Engineer information

See Plainfield, IL salary details

$43.4K

$126.4K

$173K

How much do remote data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data engineer in Plainfield, IL is $126,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $134,000.00 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.
More about Remote Data Engineer jobs

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Plainfield, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,435 per year, or $60.8 per hour.

Data Integration Engineer, EHR

Proximie

Chicago, IL • On-site, Remote

Full-time

Posted 19 days ago

Job description

Proximie is on a mission to improve healthcare by transforming the world's operating rooms into connected ecosystems of people, devices, and data.
Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events - improving quality of data outputs. The result: ORs are optimised like never before - with predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time.
Once practitioners are in the OR, our Surgical Suite enables real-time remote access and creates a secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce - improving outcomes and saving lives.
Proximie was commercialised in 2019 and is available in over 500 facilities globally. Check out our Founder and CEONadine's Origins Story here:https://www.proximie.com/about-us/
Position Overview
With hospitals and health systems around the world increasingly adopting Proximie's Surgical Suite and Intelligence Suite, we are seeking a skilled and agile Data Integration Engineer to spearhead the integration of our platform with customer Electronic Health Record (EHR) systems.
This is a pivotal, high-ownership role responsible for driving healthcare data integration across the US. You will be instrumental in enabling scalable, secure, and reliable data exchange between Proximie and its US partners, accelerating clinical insights, enhancing workflows, and delivering operational efficiency at scale.
The ideal candidate will bring deep expertise in healthcare data integration and industry standards (including HL7), with the ability to independently analyze and interpret complex data sets. Success in this position requires exceptional communication skills, technical leadership, and the agility to thrive in a fast-paced, global, and highly collaborative environment.
Key Responsibilities
  • Design, implement, and maintain HL7 interfaces (ADT, ORU, ORM, etc.) to support real-time and batch data exchange with customer EHR systems.

  • Rapidly stand-up file-based and HL7-based integrations to meet customer onboarding timelines and scalability needs.

  • Develop and manage ETL pipelines for transforming and validating clinical data from diverse sources.

  • Collaborate with customer IT teams to define integration requirements, troubleshoot issues, and ensure successful deployment.

  • Perform data analysis and validation to ensure completeness, accuracy, and consistency of exchanged data.

  • Work closely with internal product, engineering, and customer success teams to align integration efforts with platform capabilities and customer goals.

  • Document integration workflows, data mappings, and technical specifications for internal and external stakeholders.

Requirements
  • 3+ years of experience in healthcare data integration, preferably with EHR systems (Epic, Cerner, Meditech, etc.).

  • Strong hands-on experience with HL7 v2.x messaging standards and interface engines (e.g., Mirth Connect, Rhapsody, Cloverleaf).

  • Proficiency in ETL tools and scripting languages (e.g., Python, SQL) for data transformation and validation.

  • Familiarity with healthcare data standards (FHIR, CDA, CCD) and privacy regulations (HIPAA, GDPR).

  • Ability to analyze complex data sets and troubleshoot integration issues independently.

  • Excellent communication and collaboration skills, especially in customer-facing technical discussions.

  • Experience working in fast-paced, agile environments with cross-functional teams.

  • Experience integrating with cloud-based platforms and APIs is highly desirable.

  • Knowledge of surgical workflows and clinical documentation practices is highly desirable.

Nice to Haves
  • Familiarity with software engineering practices, including version control (e.g. Git), deployment processes, and release workflows - enabling effective collaboration with engineering teams and a smoother path from integration development to production.

Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.
Locations Chicago Remote status Fully Remote

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