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

Senior Data Engineer Manager

Chicago, IL · On-site +1

$109K - $148K/yr

  • Medical

  • PTO

While we are a remote-first company, we are currently only able to hire candidates located in the ... Responsibilities As the Senior Data Engineering Manager, you will: Team Leadership & Strategy

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Engineer (Microsoft Fabric)

Chicago, IL · On-site +1

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Engineer (Microsoft Fabric)

Chicago, IL · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

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

$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 ...

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

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 ...

Data Engineer Lead

Chicago, IL · On-site +1

$51 - $89/hr

  • Medical

  • Dental

  • Vision

  • Retirement

We're looking for a hands-on Data Engineer Lead to support an important Phase 0 discovery effort for contact identity, golden record, and marketing data model readiness. This role is ideal for ...

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

Energy Engineer

Chicago, IL · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Energy Engineer

Chicago, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL · On-site +1

$126K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and intelligent data broadly accessible for decision-making, automation, and innovation. This role is ...

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL · On-site +1

$126K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and intelligent data broadly accessible for decision-making, automation, and innovation. This role is ...

Showing results 21-40

Remote Data Engineer information

See Harvey, IL salary details

$42.6K

$124.2K

$170K

How much do remote data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data engineer in Harvey, IL is $124,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $131,700.00 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.

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

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

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

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

Infographic showing various Remote Data Engineer job openings in Harvey, IL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $124,234 per year, or $59.7 per hour.

Senior Data Engineer Manager

Adoreal

Chicago, IL • On-site, Remote

$109K - $148K/yr

Full-time

Medical, PTO

Posted 11 days ago


Job description

Who We Are 

We are a fast-growing vertical SaaS company leveraging innovation and disruptive technologies to improve consumer experiences, outcomes, and predictability within the plastic surgery industry. Our team thrives on challenges, embraces change, and is dedicated to transforming how the industry operates. 

Data is a critical product within our company, and we are investing heavily in our data capabilities. In this role, you will lead one of the most impactful teams in the organization, with significant opportunity for growth and influence. 

 Who We're Looking For 

We are seeking an experienced Senior Data Engineering Manager to lead and scale our data engineering organization. You'll build and optimize our modern data platform, lead a distributed engineering team, and partner with product, analytics, and business leaders to ensure data is accurate, accessible, and scalable. This role offers full autonomy, leadership opportunities, and direct impact on our data architecture and product capabilities.

In this role, you will strengthen our analytics capabilities, partner closely with business leaders, and ensure the delivery of high-impact, actionable insights that drive decision-making across the organization. 

While we are a remote-first company, we are currently only able to hire candidates located in the following U.S. states: CA, CO, FL, GA, IL, MN, OK, OR, PA, RI, TX, UT, and WA. We hope to expand to additional states in the future.

Responsibilities  

As the Senior Data Engineering Manager, you will: 

Team Leadership & Strategy 

  • Lead, mentor, and grow a distributed analytics team across multiple time zones. 
  • Establish priorities, set goals, and manage performance to foster a high-performing analytics organization. 
  • Develop and implement analytics standards, best practices, and processes to ensure quality and consistency. 

Platform & Pipeline Engineering

  • Architect, build, and maintain scalable ETL/ELT pipelines, event streams, and ingestion frameworks to support analytics, product features, and ML applications.
  • Oversee the design and implementation of cloud-native data infrastructure (data warehouses, lakes, transformation layers, and orchestration).
  • Ensure high data quality, consistency, governance, and observability across all data systems. 
  • Oversee and guide the development of dashboards, automated reports, and analytics tools using BI platforms (e.g., Tableau, Looker, Power BI, Fivetran, or Redshift). 
  • Ensure robust data pipelines, reliable metrics, and scalable reporting solutions in collaboration with data engineering. 

Project Delivery 

  • Prioritize analytics projects, balance roadmap demands, and ensure timely delivery. 
  • Champion analytical excellence, including experiment design, KPI definition, and model validation. 

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Systems, or a related quantitative field.
  • 7+ years of professional experience in data engineering, data platform development, or related fields - including managing data teams.
  • Deep experience with modern cloud data ecosystems (e.g., Snowflake, BigQuery, AWS/Azure/GCP data services).
  • Expertise building and optimizing ETL/ELT pipelines using tools like dbt, Apache Airflow, Spark, or similar orchestration frameworks.
  • Strong SQL and programming skills (Python, Scala, or similar languages).
  • Experience with data modeling, schema design, and real-time data ingestion strategies.
  • Excellent communication skills, with the ability to translate complex analyses to non-technical stakeholders. 
  • Demonstrated ability to manage multiple priorities in a fast-paced, remote environment. 

Preferred Qualifications 

  • Experience managing internationally distributed teams. 
  • Familiarity with cloud data platforms (e.g., Snowflake, AWS, GCP) and modern analytics stacks. 
  • Experience with statistical modeling or data science techniques. 

Benefits

Why Adoreal? 

Joining Adoreal means becoming part of a high-performing, ambitious team that works hard, achieves extraordinary results, and enjoys the rewards that follow. Every employee receives equity, aligning us all in our shared success. Promotions and growth opportunities are limitless, driven only by your performance and dedication to our core principles: 
 

  • We do what is best for the company, not what is best for individuals of the company-we take pride in our work, but not in pride itself-the success of Adoreal is more important than our egos. 
  • We always share relevant information and admit our mistakes freely and openly (even when it is worrisome or uncomfortable to do so). Candid communication and a solution-oriented mindset is rewarded. 
  • We innovate by finding the right problems, then solving them. We thrive on change that minimizes complexity and improves situations for our stakeholders. 
  • We incentivize efficient results & people over process and focus only on the work that creates the most value for our stakeholders. 
  • We are quietly confident and openly humble, being tenacious in our quest to perform and inspire others with our thirst for excellence. 
  • We do not bow up and knock down-we care about our teammates and treat all of them with respect, regardless of their level within the company. 
  • We are steadfast in our pursuit to better our company, our colleagues, and ourselves. When we hire, we only hire people who bleed our principles and who will hopefully be our replacement one day. 
What We Offer 

At Adoreal, we believe in supporting our team's well-being and growth through comprehensive benefits and a collaborative, people-first culture. As a globally remote company, we prioritize flexibility, inclusivity, and teamwork rooted in the Adoreal principles. 

Benefits & Perks: 

  • Healthcare coverage for you and your family 
  • Paid time off (PTO) and paid holidays 
  • Performance-based bonuses and company equity opportunities 
  • Fully remote work environment with flexible schedules 
  • Collaborative and thriving team culture guided by Adoreal's core values 

At this time, Adoreal is not offering visa sponsorship for this position. Candidates must have current and valid authorization to work in the country where they are applying. We comply with all applicable employment and immigration laws, including U.S. regulations, and encourage applicants to verify their work authorization status before applying. 
Adoreal is an equal opportunity employer committed to fostering a diverse, inclusive, and fair workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic under applicable U.S. law (EEOC) or local employment regulations where we operate. We encourage applications from candidates of all backgrounds. 
Accommodations for disabilities are available upon request throughout the recruitment process. 
*We are not working with search firms for this role, thank you* 

 Recruitment Fraud Notice

Adoreal has become aware of fraudulent job offers being sent by people falsely claiming to represent us. To protect yourself:

  • Verify the sender's email address matches our official domain before responding.
  • Be cautious of offers that come with no prior application or interview process.
  • Never share personal details, banking information, or Social Security numbers as part of a job offer or interview.
  • Legitimate offers will never ask you to pay money upfront for equipment, training, or onboarding.
  • If something feels off - urgency, poor grammar, unusual payment requests - trust your instincts and pause before responding.

If you receive a suspicious email or offer claiming to be from Adoreal, please don't respond to it directly. Report it as spam through your email provider and reach out to us at  with any concerns.