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Data Engineer Remote Contract Jobs in McCook, IL

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required.

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us. apply for ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us.

Inspira Financial

Sr. Software Engineer (Remote)

Oak Brook, IL · Remote

$123K - $163K/yr

Software engineers should have an advanced understanding of data structures, algorithms, and the ability to write clean, efficient, and maintainable code * Cloud Skills: Extensive experience working ...

Inspira Financial

Sr. Software Engineer (Remote)

Oak Brook, IL · On-site +1

$123K - $163K/yr

Software engineers should have an advanced understanding of data structures, algorithms, and the ability to write clean, efficient, and maintainable code * Cloud Skills: Extensive experience working ...

Anomalix

Remote Consulting Engineer

Chicago, IL · On-site +1

Contract; Contract-to-hire; Full time The Consulting Engineer works with clients to provide ... Intermediate to expert level skills (2-5 years) with SQL Server Data Tools to create SSIS packages ...

Anomalix

Remote Consulting Engineer

Chicago, IL · Remote

Contract; Contract-to-hire; Full time The Consulting Engineer works with clients to provide ... Intermediate to expert level skills (2-5 years) with SQL Server Data Tools to create SSIS packages ...

Inspira Financial

Azure DevOps Engineer (Remote)

Oak Brook, IL · On-site +1

$53.25 - $73/hr

... s Engineer II to extend and maintain existing and develop new pipelines for our Inspira IRA ... Experience with monitoring and logging tools such as Azure Monitor, Log Analytics, Data Dog, and ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

... data and resources they need to feel their best. Here, you will find a culture guided by inclusion ... As a Lead AI/ML Engineer within Optum Rx, you will lead the design, development, and scaling of ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

... data and resources they need to feel their best. Here, you will find a culture guided by inclusion ... As a Lead AI/ML Engineer within Optum Rx, you will lead the design, development, and scaling of ...

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Showing results 41-60

All JobsData Engineer Contract JobsData Engineer Remote Contract JobsData Engineer Remote Contract Jobs in McCook, IL

Data Engineer Remote Contract information

See McCook, IL salary details

$44K

$128.3K

$175.5K

How much do data engineer remote contract jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer remote contract in McCook, IL is $128,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data engineer remote contract?

A Data Engineer Remote Contract position involves building and maintaining the infrastructure and systems that enable organizations to collect, store, and analyze large amounts of data, all while working remotely. As a contractor, you are typically hired for a specific project or period and are not a permanent employee. This role often includes tasks like designing data pipelines, optimizing database performance, ensuring data quality, and collaborating with data scientists and analysts. Working remotely provides flexibility in location, but contractors are expected to communicate regularly with teams and meet project deadlines.

What are the key skills and qualifications needed to thrive as a data engineer in a remote contract role?

To thrive as a Data Engineer in a remote contract position, you need strong programming skills (such as Python or Java), deep knowledge of database systems, and a background in computer science or a related field. Proficiency with data pipeline tools (like Apache Airflow), cloud platforms (such as AWS or Azure), and ETL processes, along with relevant certifications, is highly valued. Excellent problem-solving abilities, clear communication, and self-motivation are key soft skills, especially when working independently or with distributed teams. These skills ensure the reliable design, development, and maintenance of scalable data systems, which are critical for organizations to leverage data effectively.

What are some common challenges faced by data engineers working remotely on contract assignments?

Data Engineers working remotely on contract assignments often navigate challenges such as aligning with distributed teams across different time zones, ensuring secure access to sensitive data, and maintaining clear communication with stakeholders. Since contractors may work with diverse tech stacks across projects, adapting quickly to new tools and company-specific data infrastructures is essential. Additionally, balancing multiple deliverables and onboarding efficiently without in-person support requires strong self-management and proactive collaboration skills.

What is the difference between Data Engineer Remote Contract vs Data Analyst Remote Contract?

AspectData Engineer Remote ContractData Analyst Remote Contract
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting and visualization tools
Employer & Industry UsageTech, finance, healthcareMarketing, retail, consulting
Common Search & ComparisonYesYes

The main difference between Data Engineer Remote Contract and Data Analyst Remote Contract lies in their focus and skill sets. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in cloud platforms and programming. Data Analysts interpret data, create reports, and visualize insights. Both roles are remote and industry-specific, but they serve different functions within organizations.

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

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

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

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

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

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

Data Engineer Remote Contract jobs near you

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 3 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

54th 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.
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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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