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Remote Senior Data Engineer Jobs in Illinois (NOW HIRING)

Senior Data Engineer Manager

Chicago, IL · On-site +1

$109K - $148K/yr

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

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

$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 - 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 ...

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Senior Data Engineer

Chicago, IL · On-site +1

$112K - $188K/yr

... engineering initiatives including data research and analysis, ETL using Airflow (Astronomer ... Full-time remote candidates are also encouraged to apply. Some travel will be required for team ...

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 ...

New

Senior Data Architect

Chicago, IL · On-site +1

$150K - $175K/yr

Data Engineering & Integration * Collaborate with engineering teams to optimize physical data ... Hybrid work schedule (Monday- Thursday onsite, Fridays remote) * Free brand-new gym in the Chicago ...

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Remote Senior Data Engineer information

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

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

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.
What are the most commonly searched types of Senior Data Engineer jobs in Illinois? The most popular types of Senior Data Engineer jobs in Illinois are:
What job categories do people searching Remote Senior Data Engineer jobs in Illinois look for? The top searched job categories for Remote Senior Data Engineer jobs in Illinois are:
What cities in Illinois are hiring for Remote Senior Data Engineer jobs? Cities in Illinois with the most Remote Senior Data Engineer job openings:
Infographic showing various Remote Senior Data Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer Manager

Adoreal

Chicago, IL • On-site, Remote

$109K - $148K/yr

Full-time

Medical, PTO

Posted 4 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*