Last updated: 2025-07-24

61 Data Engineering And Infrastructure jobs in Chicago.

Filters: Categories: Data Engineering And Infrastructure | Locations: Chicago

Palantir

Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empo…

Forward Deployed Software Engineer

Chicago

  • Skills: data-driven, software, engineering, architecture, problem solving, customer engagement, data analysis, technology, autonomous, solutions
  • Level: mid
  • Type: full_time

Tiger Analytics

Tiger Analytics is a fast-growing advanced analytics consulting firm that specializes in Data Science, Machine Learning, and AI, catering to multiple Fortune 5…

Big Data Azure Engineer

Chicago

  • Skills: Big Data, Azure, machine learning, HDFS, Hadoop, Apache Spark, Azure Data Factory, data ingestion pipelines, AI/ML, Snowflake
  • Level: mid
  • Type: full_time

USG Corporation

Headquartered in Chicago, we serve construction markets around the world with wall, ceiling, flooring, sheathing and roofing products that enable our customers…

Backend Developer: Data

Chicago

  • Skills: Backend Developer, Data Integration, APIs, PIM System Management, Data Architecture, RESTful APIs, Agile, Database Management, Data Engineering, Security Best Practices
  • Level: mid
  • Type: full_time

Equal Experts

Equal Experts is a unique software development consultancy that specializes in providing services which help customers to address complex technical challenges …

Data Technical Principal

Chicago

  • Skills: Data Science, Data Engineering, AI Solutions, Technical Delivery, Client Engagement, Thought Leadership, Collaboration, Problem-Solving, Cloud Platforms, Machine Learning
  • Level: senior
  • Type: full_time

NetApp

NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or …

Various Cloud Technology Positions

Schaumburg

  • Skills: cloud, infrastructure, data, engineering, collaboration, customer success, technology, problem-solving, innovation, business
  • Level: mid
  • Type: full_time

Chime

Chime is a financial technology company, not a bank, created on the premise that basic banking services should be helpful, transparent, and free. We empower ou…

Senior Engineer

Chicago

  • Skills: real-time decisioning, APIs, data engineers, platform reliability, low-latency, scalable software, architectural patterns, transactional databases, well-tested code, team collaboration
  • Level: mid
  • Type: full_time

Boeing

Boeing is a leading aerospace company that designs and manufactures aircraft products and services.

Data Scientist

Chicago

  • Skills: Data Science, Analytics, Decision Making, Problem Solving, Technology, Aerospace, Products, Services, Global Teams, Transform
  • Level: mid
  • Type: contract

Northwestern Medicine

At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart a…

Senior Quantitative Research Software Engineer

Chicago

  • Skills: software development, machine learning, AI, data solutions, healthcare technology, patient experience, end user support, iterative improvements, cutting-edge solutions, programming techniques
  • Level: mid
  • Type: full_time

NetApp

NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or …

Strategic Product Group Rep

Addison

  • Skills: Cloud, Data infrastructure, Customer solutions, Workload management, Data types, Work environment, Collaboration, Problem-solving, Innovation, Technology
  • Level: mid
  • Type: full_time

Provi

Provi is transforming the wholesale alcohol industry with a leading B2B digital marketplace.

Staff Software Engineer

Chicago

  • Skills: Data Platform Engineering, AI-Ready Infrastructure, Platform Modernization, Architecture, Technical Leadership
  • Level: mid
  • Type: full_time

Salesforce

Salesforce is a global leader in customer relationship management software, offering cloud-based solutions and services to help businesses manage their custome…

Staff Product Data Scientist

Chicago

  • Skills: data science, quantitative analysis, enterprise software, programming languages, data technologies, Apache Airflow, data models, collaboration, communication skills, product strategy
  • Level: mid
  • Type: full_time

Caterpillar Inc.

Caterpillar Inc. is a global team that focuses on building stronger, more sustainable communities through innovation and progress in various engineering and bu…

Principal Digital Architect

Chicago

  • Skills: data architecture, data governance, metadata management, ETL, Hadoop, AWS, data lakes, big data transformations, NoSQL, DevOps
  • Level: senior
  • Type: full_time

NetApp

NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or …

Sr. Technical Product Manager

Schaumburg

  • Skills: intelligent data infrastructure, cloud technology, business opportunities, collaboration, innovation, technical product management, data management, customer solutions, problem-solving, workload management
  • Level: mid
  • Type: full_time

Elevance Health

Elevance Health is a health company dedicated to improving lives and communities – and making healthcare simpler. We are a Fortune 25 company with a longstandi…

Business Information Developer Consultant Sr

Chicago

  • Skills: data warehousing, database management, SQL Server, ETL SSIS, AWS cloud, Adobe Campaign, Adobe Experience Cloud, project management, Agile methodology, team leadership
  • Level: senior
  • Type: full_time

McDonald's Corporation

McDonald’s growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand.

Sr Manager, Data Engineering

Chicago

  • Skills: Data Engineering, Data Product Lifecycle, AWS, GCP, ETL, Data Architecture, Big Data, Data Governance, Data Quality, Automation
  • Level: senior
  • Type: full_time

Google

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Goo…

Customer Engineer, Data Analytics, SLED

Chicago

  • Skills: cloud engineering, data analytics, technical sales, data warehousing, data lakes, ETL/ELT, data processing, cloud native architecture, customer engagement, cloud solutions
  • Level: senior
  • Type: full_time

Salesforce

Salesforce is a customer relationship management software company that provides businesses with a platform to connect with customers, streamline processes, and…

Principal Product Data Scientist

Chicago

  • Skills: data science, executive communication, Apache Airflow, data-driven decision-making, machine learning, data pipelines, quantitative analysis, product development, data analytics, stakeholder collaboration
  • Level: senior
  • Type: full_time

Google

Google Cloud accelerates every organization’s ability to digitally transform its business and industry.

Solutions Data Architect, Google Cloud

Chicago

  • Skills: cloud computing, data modeling, AI, data processing, Tensorflow, PyTorch, GCP, technical documentation, object-oriented programming, enterprise technology
  • Level: mid
  • Type: full_time

McDonald's Corporation

McDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. As the …

Sr Manager, Data Operations & Management

Chicago

  • Skills: data operations, AWS, GCP, ETL, Apache Airflow, Amazon Redshift, Google BigQuery, data infrastructure, production support, cloud platforms
  • Level: senior
  • Type: full_time

Synapticure

As a patient and caregiver-founded company, Synapticure provides instant access to expert neurologists, cutting-edge treatments and trials, and wraparound care…

Full Stack Data Engineer

Chicago

  • Skills: data engineering, data pipelines, dataset modeling, analytics lifecycle, cross-functional, technical fluency, data communication, curiosity, data literacy, continuous improvement
  • Level: mid
  • Type: full_time