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Senior Geospatial Data Engineer Jobs in Chicago, IL

Senior Data Engineer

Chicago, IL ยท 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 ...

Senior Data Engineer

Chicago, IL ยท 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 ...

Sr. Data Engineer

Chicago, IL ยท 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 ...

Sr. Software Engineer

Chicago, IL ยท On-site

$130K - $140K/yr

Partner with data scientists and ML engineers to turn prototypes into maintainable software ... Experience with geospatial, mapping, sensor or high-volume event data. * Familiarity with GPU ...

Sr. Data Engineer

Elmhurst, IL

$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 ...

Sr. Data Engineer

Elmhurst, IL ยท 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 ...

Sr. Data Engineer

Elmhurst, IL ยท 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 ...

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

What this job involves As a Senior Data Engineer on the Data Consumption team, you will own the design and delivery of data contracts and Delta Sharing across JLL's Enterprise Data Platform, giving ...

Senior Data Engineer

Chicago, IL ยท 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 ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

What this job involves As a Senior Data Engineer on the Data Consumption team, you will own the design and delivery of data contracts and Delta Sharing across JLL's Enterprise Data Platform, giving ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Senior Data Engineer

Chicago, IL ยท 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 ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/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 ...

Senior Data Engineer

Chicago, IL ยท 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 ...

Sr. Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Georgia IT, Inc. is seeking a Senior Data Engineer to lead and architect data migration projects. The role involves designing and developing data solutions using Azure technologies, mentoring junior ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/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 ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/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 ...

Showing results 21-40

Senior Geospatial Data Engineer information

See Chicago, IL salary details

$83.4K

$130.1K

$180.3K

How much do senior geospatial data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior geospatial data engineer in Chicago, IL is $130,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $148,300.00 per year, depending on experience, location, and employer.

What is a senior geospatial data engineer?

A Senior Geospatial Data Engineer is a specialized data professional who designs, develops, and maintains systems that process and analyze spatial or geographic data. They work with large geospatial datasets, build data pipelines, and develop scalable solutions for mapping, location intelligence, and spatial analytics. These engineers often collaborate with data scientists, GIS specialists, and software developers to integrate geospatial data into applications and decision-making processes. Their expertise includes working with GIS software, spatial databases, and cloud-based geospatial tools. Senior-level engineers typically also mentor junior staff and help set technical direction for geospatial projects.

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

To thrive as a Senior Geospatial Data Engineer, you need advanced expertise in geospatial analysis, spatial databases, and programming languages like Python or SQL, often backed by a degree in GIS, computer science, or related fields. Familiarity with GIS platforms (such as ArcGIS or QGIS), cloud computing services, and big data frameworks is typically required, along with relevant certifications in GIS or cloud technologies. Strong problem-solving, communication, and project leadership skills set top performers apart in this role. These competencies are essential for designing and implementing scalable geospatial solutions that accurately support decision-making and organizational goals.

What are some typical challenges a senior geospatial data engineer faces when integrating diverse data sources?

One common challenge is ensuring data compatibility and consistency across various formats, such as raster, vector, and tabular data, which often originate from different providers or systems. Senior Geospatial Data Engineers must address issues like differing coordinate reference systems, data quality, and incomplete metadata. Collaborating closely with data scientists, GIS analysts, and software developers is crucial to develop robust pipelines and resolve integration issues efficiently. Staying updated with evolving geospatial technologies and standards also plays a key role in overcoming these challenges.

What is the difference between Senior Geospatial Data Engineer vs Geospatial Data Analyst?

AspectSenior Geospatial Data EngineerGeospatial Data Analyst
CredentialsBachelor's or Master's in GIS, Computer Science, or related field; experience with GIS software and programmingBachelor's or Master's in Geography, GIS, or related field; proficiency in GIS tools and data analysis
Work EnvironmentData engineering teams, GIS departments, tech companies, government agenciesResearch teams, GIS departments, consulting firms, government agencies
Employer & Industry UsageTech firms, environmental agencies, urban planning, transportationResearch institutions, government agencies, consulting firms

The Senior Geospatial Data Engineer focuses on building and maintaining geospatial data infrastructure, pipelines, and systems, often requiring programming and data engineering skills. In contrast, the Geospatial Data Analyst primarily interprets and visualizes geospatial data to support decision-making. Both roles require GIS knowledge but differ in technical depth and focus areas.

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

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

Infographic showing various Senior Geospatial Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $130,136 per year, or $62.6 per hour.

Senior Data Engineer

Heidrick & Struggles

Chicago, IL โ€ข On-site

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


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.ยฎ
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.