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Data Engineer

Job in Chicago, Cook County, Illinois, 60601, USA
Listing for: YouGov
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Here’s a summary of the role:

The Data Enablement Team is responsible for building and maintaining the foundational data infrastructure that powers decision-making across the company. We focus on the ingestion, transformation, and modeling of data. Our goal is to ensure that our data is clean, reliable, and accessible through our centralized data warehouse.

By delivering well-structured and trusted datasets, we enable downstream teams such as product, finance, and marketing to own their analytics and reporting independently. We use modern tools like Snowflake, dbt, and Python to ensure our data platform is scalable, efficient, and aligned with business needs.

Those in the Data Engineer role are expected to be experienced software engineers with a specialization in data centric programming and tools. The Data Engineer should be comfortable working with a wide variety of data systems, and be able to transform raw datasets into something useful for analysts and data scientists.

A successful member of the data engineering team should stay up to date and knowledgeable about the industry’s newest tools and best practices.

Here’s a breakdown of what you’ll do (not all of it, just the important stuff):
  • Design, develop, and maintain robust, scalable data pipelines using Python and Airflow.
  • Collaborate with Analytics Engineers and other team members to deliver clean, well-modeled data to downstream users.
  • Implement monitoring, logging, and alerting to ensure data pipeline reliability and performance.
  • Ensure data quality and integrity through validation frameworks and testing.
  • Optimize performance and cost-efficiency of cloud-based data systems.
  • Contribute to architectural decisions around data storage, workflow orchestration, and infrastructure as code.
  • Document data pipelines and processes
These are the essentials you’ll need to get an interview:
  • Bachelor’s degree in computer science or related field
  • Proven years of experience in a Data Engineering or Software Engineering role
  • Very good knowledge of Python and experience with SQL
  • Experience with Kubernetes and containerization
  • Experience with Airflow or similar process orchestration tool
  • Familiarity with modern data file formats (Parquet, ORC, JSON)
  • Experience with data architecture, modelling, and pipelines in an enterprise data warehouse (Snowflake, Redshift, Big Query)
  • Experience with AWS products (S3, Lambda, Athena)
  • Ability to work both independently and in a team-oriented environment
  • Strong analytical skills with a critical thinking attitude.
  • Engage in a highly collaborative environment, working closely with data analysts and other team members.
  • Experience firsthand the impact of your contributions on the overall success of the team and organization.
  • Demonstrable experience as a software or data engineer, demonstrating a good understanding of data architecture and engineering principles.
  • You have great communication skills both written and verbal.
  • You embrace the You Gov values
It would be great if you had these to, but we’ll support you if you don’t:
  • Experience with a data transformation tool such as DBT
  • Experience with No

    SQL and Graph Database technologies
  • Familiarity with data reporting software (Power BI, Tableau, Apache Superset)
  • Experience with R

#LI-AS1

Why join You Gov?
Join our global team to help us achieve our social mission: to make millions of people’s opinions heard for the benefit of our local, national, and international communities.

Understanding diversity of opinion requires diversity of background. Although our global panel of millions of people worldwide powers our research, our biggest asset is our people. If our research is to be truly representative of what the world thinks, we need people from all walks of life to be part of the team to bring…

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