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Senior Data Engineer Jobs in Addison, IL (NOW HIRING)

UL Standards and Engagement

Senior Data Engineer

Evanston, IL · On-site

$101K - $138K/yr

The Senior Data Engineer will support a diverse portfolio of standards and data science initiatives to advance the mission of UL Standards & Engagement (ULSE) to make the world safer, more secure ...

Sonoma Consulting Inc.

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

As a Senior Data Engineer, you will be part of the core team that is responsible for empowering the company with data. The position will be working on our transactional, streaming, and analytics ...

Paul Hastings

Senior Data Engineer

Chicago, IL

$194K/yr

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Independence Pet Group

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Senior Data Engineer External name : Senior Data Engineer Established in 2021, Independence Pet Holdings (IPH) is a corporate holding company that manages a diverse and broad portfolio of modern pet ...

UL Standards and Engagement

Senior Data Engineer

Evanston, IL · On-site

$101K - $138K/yr

The Senior Data Engineer will support a diverse portfolio of standards and data science initiatives to advance the mission of UL Standards & Engagement (ULSE) to make the world safer, more secure ...

ULINE

Senior Data Engineer

Glenview, IL

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

ULINE

Senior Data Engineer

Glenview, IL · On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

iManage

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Being a Senior Data Engineer at iManage Means... You get excited about data, and you believe in the democratization of data to support data-driven decision making and AI. iManage runs on data. iMData ...

NAVA Software Solutions

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Details: Sr. Data Engineer Location: Chicago, IL (Hybrid at least 2 days a week) Duration: 6-12 months Key Responsibilities and Essential Functions: * Design, build, and support durable data ...

1 point system

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Senior Data Engineer will design, code, test, and analyze software programs and applications. This includes researching, designing, documenting, and modifying software specifications throughout ...

iManage

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Being a Senior Data Engineer at iManage Means... You get excited about data, and you believe in the democratization of data to support data-driven decision making and AI. iManage runs on data. iMData ...

USM

JB061713 - Sr. Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Job Title: Sr. Data Engineer Experience: 6-10 Year Location: Chicago, Illinoi We are seeking a highly skilled Sr. Data Engineer with 6-10 years of experience to join our team in Chicago, Illinois.

Belvedere Trading

Senior Data Engineer

Chicago, IL

$150K - $200K/yr

A Senior Data Engineer will work directly with on-desk staff to architect robust and scalable analytical solutions. Our Data Engineers are responsible for data services, including ETL pipeline ...

Belvedere Trading

Senior Data Engineer

Chicago, IL · On-site

$150K - $200K/yr

A Senior Data Engineer will work directly with on-desk staff to architect robust and scalable analytical solutions. Our Data Engineers are responsible for data services, including ETL pipeline ...

Belvedere Trading

Senior Data Engineer

Chicago, IL · On-site

$150K - $200K/yr

A Senior Data Engineer will work directly with on-desk staff to architect robust and scalable analytical solutions. Our Data Engineers are responsible for data services, including ETL pipeline ...

Deloitte

Senior Data Engineer

Arlington Heights, IL · Hybrid

$106K - $144K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Heidrick & Struggles

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

As a senior member of the data engineering team, you will own complex data solutions, drive best practices, and mentor junior engineers while ensuring our data platform is scalable, governed, and ...

Heidrick & Struggles

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

As a senior member of the data engineering team, you will own complex data solutions, drive best practices, and mentor junior engineers while ensuring our data platform is scalable, governed, and ...

Sidley Austin LLP

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

The Senior Data Engineer will design, build, and maintain the scalable data pipelines, models, and infrastructure that power analytics, business intelligence, and machine-learning products across the ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Addison, IL

Senior Data Engineer information

See Addison, IL salary details

$81.2K

$126.6K

$175.3K

How much do senior data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for senior data engineer in Addison, IL is $126,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $144,300.00 per year, depending on experience, location, and employer.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Addison, IL? The most popular types of Data Engineer jobs in Addison, IL are:
What are popular job titles related to Senior Data Engineer jobs in Addison, IL? For Senior Data Engineer jobs in Addison, IL, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Addison, IL look for? The top searched job categories for Senior Data Engineer jobs in Addison, IL are:
What cities near Addison, IL are hiring for Senior Data Engineer jobs? Cities near Addison, IL with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Addison, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,564 per year, or $60.8 per hour.

Senior Data Engineer

UL Standards and Engagement

Evanston, IL • On-site

$101K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

Job Description
We have an exciting opportunity for a Senior Data Engineer at UL Standards & Engagement This is a hybrid opportunity based in our Raleigh-Durham, NC or Evanston, IL office.
The Senior Data Engineer will support a diverse portfolio of standards and data science initiatives to advance the mission of UL Standards & Engagement (ULSE) to make the world safer, more secure, and sustainable. The Senior Data Engineer will design, develop, and scale enterprise data infrastructure that support analytics, machine learning, and emerging AI capabilities. Leveraging expertise in modern data architecture, cloud technologies, and advanced data engineering practices, the Senior Data Engineer will transform complex standards content and enterprise data into reliable, accessible, and scalable assets. The Senior Data Engineer will serve as a critical bridge between foundational data systems and advanced analytical applications, partnering closely with technical leaders, standards development engineers, and data scientists to shape enterprise data strategy, build infrastructure supporting Generative AI and Retrieval-Augmented Generation (RAG) solutions, and enable informed decision-making across the organization.
UL Standards & Engagement:
At UL Standards & Engagement (ULSE), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have created new safety standards and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking tough questions because we believe a safer world begins with knowledge.
Build a safer, more secure, and sustainable future with us. Join us and work with our Standards teams who develop the standards required to put that knowledge into practice.
What you'll learn and achieve:
As the Standards Publications Specialist, you will play a key role in the rapid growth of UL as you:
  • Design, build, and maintain scalable data architectures, platforms, and pipelines that support standards development, research, analytics, reporting, and AI-driven initiatives across the organization.

  • Lead the collection, integration, and management of complex datasets from diverse sources, including APIs, structured XML and HTML standards content, relational databases, and unstructured information repositories.

  • Develop and optimize enterprise ETL/ELT processes to ensure the accuracy, consistency, availability, and performance of data assets used across analytical and operational environments.

  • Architect and implement robust data models, metadata frameworks, and data quality controls that support enterprise reporting, machine learning applications, and large language model initiatives.

  • Design and deploy production-grade RAG infrastructure, including document ingestion, content chunking strategies, metadata enrichment, embedding generation, vector storage, and hybrid retrieval methodologies.

  • Evaluate, implement, and optimize database technologies and retrieval systems to support high-performance search, semantic context retrieval, and AI-enabled knowledge discovery.

  • Collaborate with business leaders, standards development subject matter experts, and technical teams to translate complex business challenges into scalable data solutions and infrastructure investments.

  • Establish and promote best practices for data governance, security, privacy, and lifecycle management while ensuring compliance with applicable regulations, intellectual property protections, and organizational standards.

  • Monitor, troubleshoot, and continuously improve data platform performance, reliability, scalability, and operational efficiency.

  • Contribute to the development and execution of data strategy, identifying opportunities to expand organizational capabilities through modern data engineering practices and emerging technologies.

  • Mentor and provide technical guidance to data engineers, analysts, and cross-functional team members, fostering adoption of scalable engineering standards and best practices.

  • Prepare and maintain technical documentation, architectural designs, and implementation roadmaps that support knowledge sharing and long-term sustainability of data platforms.

  • Make notable contributions to shared team goals and independently manage workload effectively, using appropriate communication and adherence to deliverable and timeline expectations.

  • Maintain continued awareness of industry trends and external context related to the portfolio.

  • Perform other duties as directed.

What you'll experience working at UL Standards & Engagement: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.
  • People: Our people make us special. You'll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative. We collaborate across disciplines, organizations, and geographies to build the global scientific response that today's global challenges require.

  • Interesting work: Every day is different for us here. We see what's on the horizon and use our expertise to build the foundations of a safer future. You'll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.

  • Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs.

  • Values. Four core values guide our work: collaboration, respect, integrity, and beneficence. By living our values, we inspire the trust essential to fulfilling our mission and foster partnerships that enable us to pursue a beneficent future in which we all can thrive.

  • Total Rewards: All employees at UL Standards & Engagement are eligible for bonus compensation. We offer comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay. Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. Depending on your role, you may be able to discuss flexible working arrangements with your manager. We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.

What makes you a great fit:
While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:
  • Advanced application of data engineering principles, including data architecture, integration, modeling, governance, and large-scale pipeline development within complex technical environments.

  • Strong technical aptitude in modern cloud-based data platforms, database technologies, distributed processing frameworks, and AI-enabled data infrastructure.

  • Demonstrated expertise in designing scalable solutions that support advanced analytics, machine learning, large language models, and Retrieval-Augmented Generation applications.

  • Proficiency in project management with experience developing project timelines, scope, and managing project resources. Ability to apply independent judgement in selecting methods, assessing results, and refining solutions.

  • Strong communication and engagement skills, with ability to convey complex information to various stakeholder group, including technical and non-technical audiences.

  • Positive and collaborative interpersonal skills, with proven capability in fostering collaboration and partnership across teams to develop solutions with broad impact.

  • Commitment to continuous learning, technical excellence, and the adoption of emerging technologies that strengthen organizational capabilities and business outcomes.

  • Strategic thinker with ability to innovate and adapt in a dynamic industry landscape.

Professional education and experience requirements for the role include:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering or related field. Advanced degree preferred.

  • Minimum 5 years of related work experience.

  • Progressively responsible experience designing, developing, and supporting enterprise-scale data platforms, architectures, and pipelines.

  • Experience manipulating large datasets, utilizing databases for advanced data management, and integrating third-party data sources.

  • Advanced proficiency in Python and SQL, with experience leveraging scripting, automation, and infrastructure configuration tools such as YAML, Bash, or PowerShell.

  • Experience working with relational and non-relational database technologies, including platforms such as SQL Server, Elasticsearch, Neo4j, Azure Cosmos DB, MongoDB, or comparable solutions.

  • Experience designing and implementing AI and RAG data infrastructure, including document processing, embedding generation, vector databases, and retrieval optimization techniques.

  • Working knowledge of structured standards content formats (e.g., XML, STS/NISO) or legal/regulatory document corpora is preferred.

About UL Research Institutes and UL Standards & Engagement
UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.
To learn more, visit our websites UL.org and ULSE.org.
Salary Range:
$89,602.01-$123,202.76
Pay type:
Salary

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