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Data Engineer Google Jobs in Chicago, IL (NOW HIRING)

Eliassen Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering ... Cloud-native development on AWS and/or Google Cloud Platform with CI/CD, code reviews ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer EPTech's Enterprise Consumer Products team transforms customer experiences, and ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Eliassen Group

Sr. Big Data Engineer

Chicago, IL · On-site

$84 - $94/hr

Design and implement pipelines within trusted environments across AWS, Google Cloud Platform, Azure ... Contribute to engineering standards and best practices for secure data processing and privacy ...

Virtusa

Data Engineer / Analytics Developer

Chicago, IL · On-site

$118K - $141K/yr

Web Development Hands-on experience with full-stack development tools, specifically Next.js, Prisma, and integration with LLMs (e.g., Google Gemini). Data Engineering Expert-level knowledge of ...

Virtusa

Data Engineer / Analytics Developer

Chicago, IL · On-site

$118K - $141K/yr

Web Development Hands-on experience with full-stack development tools, specifically Next.js, Prisma, and integration with LLMs (e.g., Google Gemini). Data Engineering Expert-level knowledge of ...

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Showing results 21-40

All JobsData Engineer Google JobsData Engineer Google Jobs in Chicago, IL

Data Engineer Google information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do data engineer google jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data engineer google in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What does a data engineer at Google do?

A Data Engineer at Google designs, builds, and manages systems that collect, store, and process large volumes of data. Their responsibilities include creating data pipelines, ensuring data quality, and optimizing data architectures to support analytics and machine learning initiatives. They work closely with data scientists, analysts, and other engineers to ensure that data is accessible, reliable, and efficiently processed for various business needs.

How do data engineers at Google typically collaborate with data scientists and software engineers?

At Google, Data Engineers work closely with both data scientists and software engineers to build robust, scalable data pipelines and infrastructure. Data Engineers are responsible for ensuring that data is clean, accessible, and optimized for analytics, often translating business needs into technical solutions. Regular collaboration happens through cross-functional meetings, design sessions, and code reviews, where Data Engineers provide expertise in data modeling, ETL processes, and system optimization. This collaborative environment promotes innovation, knowledge sharing, and the successful deployment of data-driven products.

What are the key skills and qualifications needed to thrive as a data engineer at Google, and why are they important?

To thrive as a Data Engineer at Google, you need strong programming skills (especially in Python, Java, or Scala), expertise in data modeling, and a solid understanding of distributed systems, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery, SQL, Apache Spark, and relevant data engineering certifications is highly valued. Analytical thinking, effective communication, and problem-solving abilities are crucial soft skills for collaborating across teams and translating business requirements into technical solutions. These skills ensure the reliable design, optimization, and scalability of data systems critical to Google's innovation and decision-making.

Does Google hire data engineers?

Yes, Google hires data engineers to develop and maintain data pipelines, manage large-scale data systems, and support data-driven decision-making. Candidates typically need strong skills in SQL, Python, or Java, along with experience with cloud platforms like Google Cloud Platform (GCP).

What is the difference between Data Engineer Google vs Data Engineer Amazon?

AspectData Engineer GoogleData Engineer Amazon
Required CredentialsBachelor's in CS or related, Google Cloud certifications often preferredBachelor's in CS or related, AWS certifications common
Work EnvironmentGoogle Cloud Platform, large-scale data systems, collaborative teamsAWS cloud services, large data pipelines, cross-functional teams
Employer & Industry UsageGoogle, tech and internet servicesAmazon, e-commerce and cloud services
Search & Comparison IntentHigh overlap in cloud data engineering rolesSimilar roles in cloud data engineering

Both Data Engineer Google and Data Engineer Amazon roles require strong data processing skills, cloud platform knowledge, and relevant certifications. While Google emphasizes Google Cloud Platform expertise, Amazon focuses on AWS. Both roles are integral to their respective companies' data infrastructure, with similar work environments and industry usage, making them common comparison points for data engineering careers in cloud environments.

What are popular job titles related to Data Engineer Google jobs in Chicago, IL? For Data Engineer Google jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Engineer Google jobs in Chicago, IL look for? The top searched job categories for Data Engineer Google jobs in Chicago, IL are:
Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in Chicago, IL as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Lead Data Engineer

Eliassen Group

Chicago, IL • On-site

$75 - $85/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago

Job description

Description:
Hybrid At least 2 days per week in office in Chicago, IL
Our client seeks a Lead Data Engineer to design, build, and optimize large-scale data processing for attribution, measurement, forecasting, and privacy-preserving analytics. The role requires leadership of a major workstream, strong Scala, Spark, SQL, and Python skills, and cloud data platform expertise. The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering to deliver secure, scalable, and compliant data solutions.
For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $75.00 to $85.00/hr. w2
Responsibilities:
  • Lead design, implementation, and optimization of large-scale data processing using Scala, Spark, SQL, and modern data platforms for attribution.
  • Design and operate trusted data pipelines handling advertiser, customer, and measurement datasets across AWS, Google Cloud Platform, Azure, and approved ecosystems.
  • Collaborate with Product, Data Science, Security, Privacy, and Platform Engineering to deliver privacy-preserving attribution, measurement, forecasting, and analytics.
  • Own scalable batch and streaming workflows using orchestration frameworks and cloud-native services.
  • Implement data classification, access controls, and privacy-preserving techniques aligned with security and compliance requirements.
  • Drive clean-room and trusted data-sharing environments, exposing only aggregated or privacy-protected outputs.
  • Build observability, monitoring, alerting, and operational tooling for reliability, performance, and compliance.
  • Troubleshoot complex platform, performance, and pipeline issues across distributed systems.
  • Influence technical design, architecture, and best practices in partnership with senior engineering leadership.
  • Mentor engineers, lead design and code reviews, and provide technical leadership.
  • Ensure all sensitive processing occurs within controlled, auditable boundaries with no unintended egress of PII or proprietary signals.
  • Define data handling standards and document trust boundaries, data contracts, lineage, and permitted movement between zones.
  • Apply privacy-preserving computation, including aggregation-before-export, pseudonymization, tokenization, differential privacy concepts, and privacy-aware reporting.
  • Implement encryption, key management, and secure handling using cloud-native security and governance services.
  • Support audits, compliance, governance reviews, and secure data-sharing initiatives.

Experience Requirements:
  • 8+ years in Data Engineering with strong Scala and extensive Apache Spark on AWS and/or Google Cloud Platform.
  • Strong Python for pipelines, tooling, automation, and infrastructure modules.
  • Advanced SQL across relational, cloud warehouses, and lakehouse platforms handling TB-scale datasets.
  • Design, build, and maintenance of batch and streaming pipelines.
  • Data warehousing, dimensional modeling, data quality, partitioning, and performance optimization.
  • Distributed data processing and lakehouse architectures such as Databricks, Delta Lake, or Apache Spark.
  • Operating distributed data platforms at scale with orchestration tools like Airflow, Databricks Workflows, or AWS Step Functions.
  • Git-based workflows and automated testing frameworks.
  • Cloud-native development on AWS and/or Google Cloud Platform with CI/CD, code reviews, observability, and production support.
  • Proven technical leadership, mentorship, and delivery within tight timelines.
  • Trusted environment execution: clean rooms or secure data-sharing platforms, handling PII and regulated data, fine-grained access controls, governance policies, and policy enforcement.
  • Familiarity with tokenization, pseudonymization, aggregation-before-export, and differential privacy concepts.
  • Experience with measurement, attribution, audience analytics, or privacy-preserving reporting solutions.
  • Data lineage and governance tooling such as Unity Catalog, AWS Glue Data Catalog, Apache Atlas, or OpenLineage.
  • Understanding of trust boundaries, secure data-sharing patterns, and zero-trust data architecture.
  • Experience documenting data contracts, flows, lineage, and permitted data movement between zones and domains.
  • Encryption, key management, and secure handling of sensitive data with cloud-native security services.
  • Design of observability and alerting to detect anomalous movement, policy violations, and potential leakage.
  • Experience in environments where only aggregated, anonymized, tokenized, or privacy-protected outputs may leave trusted boundaries.
  • Strong written and verbal English communication and experience in Agile/SCRUM.
  • Good to have: Databricks, AWS Clean Rooms or PETs, advertising and retail media platforms, collaboration with Security/Privacy/Risk/Compliance, ELK/Grafana/OpenTelemetry, Docker/Kubernetes, and secure design reviews.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:
When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact .
About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
Eliassen Group logo

About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989

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