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Senior Data Engineer Jobs in Park Ridge, IL (NOW HIRING)

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 ...

Gerber Payroll Services, Inc.

Sr. Data Engineer

Addison, IL · On-site

$130 - $145/hr

Job SummaryThe Senior Data Engineer will serve in a senior role within the Data Engineering organization and will be responsible for supporting and maturing the data platform. This is a high impact ...

New

The Boyd Group

Sr. Data Engineer

Elmhurst, IL · On-site

$114K - $136K/yr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering organization and will be responsible for supporting and maturing the data platform. This is a high impact ...

Gerber Collision & Glass

Sr. Data Engineer

Elmhurst, IL · On-site

$114K - $136K/yr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering organization and will be responsible for supporting and maturing the data platform. This is a high impact ...

Mobile Auto Solutions, LLC

Sr. Data Engineer

Addison, IL · On-site

$130 - $145/hr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering organization and will be responsible for supporting and maturing the data platform. This is a high impact ...

New

InRule Technology, Inc.

Senior Data Engineer

Chicago, IL · On-site

$140K - $170K/yr

This is a senior software engineering role at its core, with a specialization in data: you are expected to write and ship production code in C#/.NET and operate to the same engineering standards as ...

InRule Technology Inc

Senior Data Engineer

Chicago, IL · On-site

$140 - $170/hr

This is a senior software engineering role at its core, with a specialization in data: you are expected to write and ship production code in C#/.NET and operate to the same engineering standards as ...

Solomon Page

Senior Data Engineer

Chicago, IL · On-site

$65 - $80/hr

We are seeking a hands-on Senior Data Engineer to support Phase 0 data discovery, profiling, mapping, and engineering handoff activities for a large-scale customer data and marketing transformation ...

Sidley

Senior Data Engineer

Chicago, IL · Hybrid

$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 machinelearning products across the ...

Arrive Logistics

Senior Data Engineer

Chicago, IL · On-site

$140 - $190/hr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work ...

Staffingine LLC

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Senior Data Engineer Job Location: Chicago, IL Job Type: Contract * Lead and manage end to end testing efforts for Salesforce Marketing Community Commerce B2BB2C applications ensuring high quality ...

Arrive Logistics

Senior Data Engineer

Chicago, IL · On-site

$150K - $187K/yr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work ...

Rival

Senior Data Engineer

Chicago, IL · On-site

$150 - $187/hr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work ...

New

Arrive Logistics

Senior Data Engineer

Chicago, IL · On-site

$150K - $187K/yr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work ...

Omnicom

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

We are looking for a Senior Data Engineer with deep expertise in building scalable, cloud-native data pipelines and platforms. The ideal candidate is highly skilled in Python, Apache Airflow, AWS ...

Omnicom

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

We are looking for a Senior Data Engineer with deep expertise in building scalable, cloud-native data pipelines and platforms. The ideal candidate is highly skilled in Python, Apache Airflow, AWS ...

Publicis Groupe Holdings B.V

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

We are looking for a Senior Data Engineer to help build the next generation of our cloud data platform. This role is ideal for an engineer who thrives on solving complex data challenges at scale and ...

Epsilon

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

We are looking for a Senior Data Engineer to help build the next generation of our cloud data platform. This role is ideal for an engineer who thrives on solving complex data challenges at scale and ...

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Showing results 21-40

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Park Ridge, IL

Senior Data Engineer information

See Park Ridge, IL salary details

$79.7K

$124.3K

$172.2K

How much do senior data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior data engineer in Park Ridge, IL is $124,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $141,700.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

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 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 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 do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

What are popular job titles related to Senior Data Engineer jobs in Park Ridge, IL?

For Senior Data Engineer jobs in Park Ridge, IL, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Park Ridge, IL look for?

The top searched job categories for Senior Data Engineer jobs in Park Ridge, IL are:

What cities near Park Ridge, IL are hiring for Senior Data Engineer jobs?

Cities near Park Ridge, IL with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Park Ridge, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,308 per year, or $59.8 per hour.

Senior Data Engineer

Heidrick & Struggles

Chicago, IL • On-site

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Key responsibilities

  • Design, develop, and maintain scalable, secure data pipelines, data models, and warehouse/lake environments, primarily on Snowflake.

  • Own end-to-end data solutions from requirements gathering and design through implementation, testing, deployment, and iteration.

  • Partner closely with cross-functional stakeholders to translate business problems into robust data solutions, ensuring data is accessible, trustworthy, and actionable.

Job description

Heidrick & Struggles is the world's foremost advisor on executive leadership, driving superior client performance through premier human capital leadership advisory services. For more than 70 years, we've delivered value for our clients by leveraging unrivaled expertise to help organizations discover and enable outstanding leaders and teams. Learn more at www.heidrick.com
Job Description:
Who We Are:
Heidrick & Struggles is a premier provider of global leadership advisory and on-demand talent solutions, serving the senior-level talent and consulting needs of the world's top organizations. In our role as trusted leadership advisors, we partner with our clients to develop future-ready leaders and organizations, bringing together our services and offerings in executive search leadership assessment and development, organization and team acceleration, culture shaping and on-demand, independent talent solutions. Heidrick & Struggles pioneered the profession of executive search more than 70 years ago. Today, the firm provides integrated talent and human capital solutions to help our clients change the world, one leadership team at a time.®
Additional information on the firm can be found at www.heidrick.com.
The Role
We are seeking a highly skilled, hands-on Senior Data Engineer with 4-5 years of experience to help shape and scale our data foundation in support of Heidrick & Struggles' mission to transform executive search and leadership advisory through data-driven insights. 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 reliable.
You bring a builder's mindset and strong sense of ownership, connecting deeply to business needs to design robust pipelines, standardize structures, optimize performance, and enable trusted, self-service analytics and AI across the firm. This role sits at the intersection of engineering and business strategy, requiring close collaboration with data science, analytics, product, and business stakeholders.
Responsibilities
  • Design, develop, and maintain scalable, secure data pipelines, data models, and warehouse/lake environments, primarily on Snowflake.
  • Own end-to-end data solutions from requirements gathering and design through implementation, testing, deployment, and iteration.
  • Partner closely with cross-functional stakeholders to translate business problems into robust data solutions, ensuring data is accessible, trustworthy, and actionable.
  • Promote and contribute to best practices in data engineering (coding standards, testing, observability, documentation, and CI/CD).
  • Mentor and support junior data engineers through code reviews, pairing, and guidance on design and implementation.
  • Perform performance tuning, cost optimization, and reliability improvements in Snowflake and associated data pipelines.
  • Contribute to documentation of data models, dictionaries, data flow maps, and metadata to support transparency and data governance.
  • Collaborate with technical teams and stakeholders to implement data capture, ETL/ELT, validation, and QA, including automated quality checks and monitoring.
  • Support the development and enforcement of data governance, access controls, and security policies in partnership with data governance and security teams.
  • Stay up to date on emerging technologies, tools, and best practices in data engineering and bring forward recommendations that evolve our data platform.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data & Analytics, Data Science, or a related field, or equivalent practical experience.
  • 4-5 years of experience building and maintaining data lake/warehouse solutions and production-grade data pipelines.
  • Expert-level proficiency in SQL, including complex queries, optimization, and stored procedures for data processing (expected "10/10" SQL capability).
  • Hands-on experience with Snowflake (data modeling, performance tuning, and cost management).
  • Proficiency in Python for data processing, orchestration, and automation.
  • Experience designing, implementing, and operating ETL/ELT pipelines using modern pipeline tools and orchestration frameworks.
  • Demonstrated experience mentoring or guiding junior engineers and contributing to team-level technical decisions.
  • Solid understanding of data warehousing concepts, data modeling, and best practices for structured and semi-structured data.
  • Familiarity with CI/CD practices and tools (e.g., Git-based workflows, automated testing, deployment pipelines).
  • Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Qualifications
  • Experience with modern data stack tools such as FiveTran, or similar technologies.
  • Exposure to data governance, data quality frameworks, and master or reference data management initiatives.
  • Experience working in agile environments and leading workstreams or key stories within a cross-functional team

Pay Range Guidelines for this Position:
The salary range for this position is 120000 USD to 130000 USD. Compensation is based on several factors including but not limited to education, work experience and skills. In addition to your salary, Heidrick & Struggles offers discretionary bonuses (subject to eligibility requirements) and a comprehensive benefits package including: medical, dental, vision, disability leave, parental leave, paid time off and 401k contribution (all benefits are subject to eligibility requirements). Note: we have a location based compensation structure; there may be a different range for candidates in other locations.
Heidrick & Struggles is an equal opportunity employer committed to hiring qualified protected veterans and individuals with disabilities. All qualified applicants will be considered for employment without regard to race, color, religion, creed, age, sex, national origin, gender identity or expression, sexual orientation, disability, marital status, veteran or military status, or citizenship status.

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