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Remote Data Engineer Jobs in Chicago, 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 ...

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 ... 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 ...

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 ...

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Showing results 41-60

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

Remote Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do remote data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 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 Chicago, IL?

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Data Engineer - AI, Agents, & Context - Revenue Cycle (Associate)

Huron Consulting Group

Chicago, IL • On-site, Remote

$117K - $141K/yr

Full-time

Medical, Dental, Vision

Re-posted 25 days ago

Huron Consulting Group rating

7.2

Company rating: 7.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

51st of 72 rated business consultants

Job description

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes.
Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.
Joining the Huron team means you'll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.
Join our team as the expert you are now and create your future.
This role sits within a strategic investment to embed AI into how we operate, serve customers, and make decisions within our healthcare business. We're building a healthcare-wide AI data and context platform with a focus on deep domain expertise embedded throughout our architecture. Our goals are:
Turn structured and unstructured information into trusted, reusable "building blocks" (semantic layers, retrieval services, and agent-ready interfaces) that accelerate product innovation
Deliver transformational speed and leverage - faster time-to-insight, higher automation of knowledge work, and a foundation that scales AI safely and reliably as adoption grows
Unlock new capabilities across our business and create the foundation that drives deeper domain innovation and cross-domain collaboration
This is a hands-on technical contributor who builds and maintains core AI/context data capabilities. The role executes key parts of the AI context platform - unstructured ingestion, embeddings, retrieval, and semantic layers - working closely with senior engineers and cross-functional partners to ship reliable, production-grade AI data products.
Key Responsibilities
Build and contribute to the AI context platform
  • Implement end-to-end pipelines: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/serving

  • Build and maintain patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources

  • Contribute to retrieval quality improvements (query strategies, hybrid search, metadata filtering) in partnership with AI engineers

Deliver semantic and governed data products
  • Implement semantic layers (metrics/entities) that power BI and agent reasoning consistently

  • Apply established data contracts and context contracts for AI inputs (schemas, metadata requirements, freshness, citation expectations)

  • Ensure datasets and indexes are documented and reusable

Operational excellence
  • Support reliability and performance across assigned workstreams: monitoring, alerting, runbooks, and incident response

  • Contribute to cost and latency optimization across Snowflake and vector infrastructure

AI safety and compliance
  • Apply security-by-design patterns: RBAC/ABAC, PII redaction, retention controls, and audit logging

  • Follow established guardrails for AI access to enterprise knowledge in coordination with Security/Legal/Compliance

TRAVEL EXPECTATIONS
  • Ability to travel as needed up to 4 times per year.

Required Qualifications
  • Bachelor's Degree in computer science, engineering, or related field of study
  • 3-6 years in data engineering or data platform roles with strong hands-on delivery

  • Strong SQL and Python (or Scala/Java); solid production engineering habits

  • Hands-on experience with Snowflake, including pipeline design, data modeling, and operating at scale in a production environment

  • Experience designing and operating cloud data pipelines at scale

  • Experience working with unstructured data processing and search/retrieval concepts

  • Clear communicator who can work effectively across technical and functional teams

Preferred Qualifications
  • Hands-on experience with vector search and embeddings (pgvector/Pinecone/Weaviate/OpenSearch/Elastic) and retrieval patterns (semantic retrieval, hybrid search, reranking)

  • Experience supporting LLM applications (RAG, agent tool interfaces, evaluation/observability)

  • Familiarity with knowledge graphs, semantic modeling, or metrics layers

  • Experience in regulated environments and data governance programs

  • Exposure to dbt, Iceberg, or other lakehouse/semantic layer tooling alongside Snowflake

Example Success Measures
  • Measurable improvement in AI outcomes: higher retrieval precision/recall, better citation coverage, fewer "missing context" failures

  • Reduced latency/cost per retrieval and improved platform reliability (SLO attainment, lower MTTR)

  • Consistent application of semantic definitions and context contracts across assigned workstreams

  • Delivery quality: production-ready outputs with minimal rework, well-documented and maintainable

Behavioral Attributes
  • Eager to learn the domain: Proactively builds familiarity with healthcare processes, terminology, and KPIs - can engage credibly with SMEs and ask the right clarifying questions

  • Collaborative and stakeholder-aware: Works well with engineers, consultants, and functional partners; communicates progress and flags risks clearly

  • Consultative problem-solver: Approaches requests with a "diagnose before prescribe" mindset - proposes options and works toward durable solutions rather than one-off fixes

  • High ownership and follow-through: Treats reliability, documentation, and operational readiness as part of the work; finishes what they start; holds a high bar for production quality

  • Clear communicator: Can go deep with engineers and explain concepts plainly to non-technical partners; writes solid docs and runbooks

  • Pragmatic builder: Biases toward shipping value in iterations, validating with users, and improving based on feedback

  • Comfortable with ambiguity: Adapts quickly in evolving AI/data product environments and turns unclear goals into actionable tasks

  • Integrity and stewardship: Handles sensitive data responsibly and respects established governance patterns

The estimated base salary for this job is $95,000 - $130,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron's annual incentive compensation program, which reflects Huron's pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $106,400 - $153,400 USD. The job is also eligible to participate in Huron's benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
#LI-CL1
#LI-REMOTE
Position Level
Associate
Country
United States of America

What Huron Consulting Group employees say

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Hours and flexibility

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About Huron Consulting Group

Sourced by ZipRecruiter

Huron Consulting Group, based in Chicago, IL, US, is a leading global management consulting firm specialized in providing performance improvement and reformation skills to different types of organizations. The company operates in the management consulting industry, which includes strategy, operations, technology, and analytics. Founded in 2002, Huron Consulting Group aids entities to tackle complex business challenges, enhance their ability to drive change, encourage their efficiency, and stimulate innovation. The company's overriding mission is to assist clients in becoming more successful.

Industry

Business management consulting

Company size

1,001 - 5,000 Employees

Headquarters location

Chicago, IL, US

Year founded

2002

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