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Aws Clean Rooms Jobs (NOW HIRING)

Eliassen Group

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Databricks, AWS Clean Rooms, advertising measurement platforms, collaboration with Security/Privacy/Risk/Compliance, ELK/Grafana/OpenTelemetry, Docker and Kubernetes, lineage and governance tooling ...

McDonald's

Data Engineer III

Chicago, IL · On-site

$117K - $141K/yr

Clean Rooms and Commerce Media Networks: Hands-on experience with at least one clean room platform (e.g. LiveRamp, Habu, Snowflake Clean Rooms, AWS Clean Rooms, Google Ads Data Hub, or Amazon ...

Eliassen Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

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 ...

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Aws Clean Rooms information

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$23.5K

$57.8K

$90.5K

How much do aws clean rooms jobs pay per year?

As of Sep 9, 2026, the average yearly pay for aws clean rooms in the United States is $57,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $75,500.00 per year, depending on experience, location, and employer.

What are AWS Clean Rooms?

AWS Clean Rooms is a privacy-enhancing analytics service provided by Amazon Web Services that allows multiple parties to collaborate on shared datasets without revealing sensitive or raw data to one another. It enables organizations to analyze and generate insights from combined datasets using privacy-safe controls and configurable restrictions. This service is particularly useful for industries like advertising, marketing, and healthcare, where data privacy and compliance are paramount. By ensuring that only the agreed-upon results are shared, AWS Clean Rooms helps companies gain joint insights while maintaining strict data confidentiality.

What are the key skills and qualifications needed to thrive as an AWS Clean Rooms specialist?

To thrive as an AWS Clean Rooms Specialist, you need a strong background in cloud computing, data privacy, and collaborative data analytics, typically supported by experience with AWS services and a relevant technical degree. Proficiency with AWS Clean Rooms, data governance tools, and certifications such as AWS Certified Solutions Architect or AWS Certified Data Analytics are highly valued. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring secure and compliant data collaboration. These skills and qualifications are vital for enabling organizations to securely analyze and share data while maintaining regulatory compliance and data privacy.

What are some common challenges faced by professionals working with AWS Clean Rooms, and how can they be addressed?

Professionals working with AWS Clean Rooms often encounter challenges such as ensuring secure data collaboration without compromising privacy, managing data governance across multiple stakeholders, and integrating Clean Rooms with existing data pipelines. Addressing these challenges requires a strong understanding of AWS's privacy-enhancing technologies, clear communication with partners about data usage policies, and close collaboration with security and compliance teams. Leveraging AWS documentation, best practices, and automation tools can help streamline operations and ensure regulatory compliance.

What is the difference between Aws Clean Rooms vs Data Analysts?

AspectAws Clean RoomsData Analysts
Required CredentialsCloud certifications (AWS Certified Data Analytics, Solutions Architect)Degree in Data Science, Statistics, or related field; often certifications like Microsoft Data Analyst Associate
Work EnvironmentCloud platforms, data privacy-focused environmentsOffice or remote, analyzing data sets, reporting
Employer & Industry UsageTech companies, data-driven organizations using AWSVarious industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding cloud data privacy rolesData analysis and reporting roles

While Aws Clean Rooms focus on secure, privacy-preserving data collaboration within cloud environments, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Aws Clean Rooms specialists emphasize cloud security and data privacy, whereas Data Analysts focus on data interpretation and reporting.

Infographic showing various Aws Clean Rooms job openings in the United States as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $57,815 per year, or $27.8 per hour.

MarTech Data Engineer-Charlotte / NC / Hybrid

Charlotte, NC • On-site

Ztek Consulting INC
See more jobs at Ztek Consulting INCexternal

$111K - $134K/yr

Contractor

Re-posted 16 days ago

Job description

Role: MarTech Data Engineer

Location: Charlotte / NC / Hybrid

Type of hire: Contract

JOB DESCRIPTION: 

  • 5 to 7 years of professional experience in data engineering, marketing technology, or identity infrastructure
  • 2+ years of hands-on experience in a data clean room environment — LiveRamp Clean Room (Habu) strongly preferred; InfoSum, AWS Clean Rooms, or Google Ads Data Hub also considered
  • Demonstrated experience authoring clean room question logic and/or UDFs within publisher-constrained query models (not just ingestion/ETL work)
  • Strong SQL proficiency; experience with privacy-safe aggregate computation patterns (group-by minimums, noise budgets, suppression rules)
  • Familiarity with identity resolution concepts: deterministic vs. probabilistic matching, RampID or equivalent persistent ID linkage, match rate optimization
  • Experience building and maintaining data pipelines on cloud platforms (GCP, AWS, or Azure); Python or Spark for transformation work
  • Working knowledge of data privacy regulations relevant to financial services or regulated industries (GLBA, CCPA, state-level equivalents)