Consumer Reports Logo

Consumer Reports

Data Engineer (AI, ML, and Data Science)

Posted 3 Days Ago
Easy Apply
Hybrid
Yonkers, NY
100K-120K Annually
Mid level
Easy Apply
Hybrid
Yonkers, NY
100K-120K Annually
Mid level
The Data Engineer will build data infrastructure for AI applications, design ETL pipelines, collaborate on ML model support, and ensure data governance.
The summary above was generated by AI
WHO WE ARE

Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services.  We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices.   

Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees.

OVERVIEW

Data powers everything we do at CR—and it’s the foundation for our AI and machine learning efforts that are transforming how we serve consumers.

The Data Engineer ( AI/ML & Data Science) will play a critical role in building the data infrastructure that powers advanced AI applications, machine learning models, and analytics systems across CR. Reporting to the Associate Director, AI/M & Data Science, in this role, you will design and maintain robust data pipelines and services that support experimentation, model training, and AI application deployment.

If you’re passionate about solving complex data challenges, working with cutting-edge AI technologies, and enabling impactful, data-driven products that support CR’s mission, this is the role for you.

This is a hybrid position.  This position is not eligible for sponsorship or relocation assistance.

How You'll Make An Impact

As a mission based organization, CR and our Software team are pursuing an AI strategy that will drive value for our customers, give our employees superpowers, and address AI harms in the digital marketplace. We’re looking for an AI/ML engineer to help us execute on our multi-year roadmap around generative AI. 

As a Data Engineer ( AI/M & Data Science)  you will:

  1. Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data to support AI/ML model and application development, evaluation, and monitoring.
  2. Build and optimize data processing workflows in Databricks, AWS SageMaker, or similar cloud platforms.
  3. Collaborate with AI/ML engineers to deliver clean, reliable datasets for model training and inference.
  4. Implement data quality, observability, and lineage tracking within the ML lifecycle.
  5. Develop Data APIs/microservices to power AI applications and reporting/analytics dashboards.
  6. Support the deployment of AI/ML applications by building and maintaining feature stores and data pipelines optimized for production workloads.
  7. Ensure adherence to CR’s data governance, security, and compliance standards across all AI and data workflows.
  8. Work with Product, Engineering and other stakeholders to define project requirements and deliverables.
  9. Integrate data from multiple internal and external systems, including APIs, third-party datasets, and cloud storage.

ABOUT YOU

You’ll Be Highly Rated If:

  • You have the experience. You have 3+ years of experience designing and developing data pipelines, data models/schemas, APIs, or services for analytics or ML workloads.
  • You have the education.  You’ve earned a Bachelor’s degree in Computer Science, Engineering, or a related field.
  • You have programming skills.  You are skilled in Python, SQL, and have experience with PySpark on large-scale datasets.
  • You have experience with data orchestration tools such as Airflow, dbt and Prefect, plus CI/CD pipelines for data delivery.
  • You have experience with Data and AI/ML platforms such as Databricks, AWS SageMaker or similar.
  • You have experience working with Kubernetes on cloud platforms like - AWS, GCP, or Azure.

You'll Be One of Our Top Picks If:

  • You are passionate about automation and continuous improvement.
  • You have excellent documentation and technical communication skills.
  • You are an analytical thinker with troubleshooting abilities.
  • You are self-driven and proactive in solving infrastructure bottlenecks.

FAIR PAY AND A JUST WORKPLACE

At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate’s particular combination of knowledge, skills, competencies, and experience.  We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC.


Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws.  Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Top Skills

Airflow
AWS
Aws Sagemaker
Azure
Databricks
Dbt
GCP
Kubernetes
Prefect
Pyspark
Python
SQL

Similar Jobs

3 Days Ago
Easy Apply
Hybrid
Yonkers, NY, USA
Easy Apply
100K-120K Annually
Senior level
100K-120K Annually
Senior level
Big Data • Consumer Web • eCommerce • Information Technology • Social Impact • Database • App development
The Full Stack Software Engineer will design, build, and deploy web applications that integrate AI and ML capabilities, developing tools and APIs to enhance consumer experiences.
Top Skills: AWSAws SagemakerAzureCSSDatabricksDjangoFastapiGCPJavaScriptNext.JsNode.jsPythonReactTailwindcss
11 Days Ago
In-Office
New York City, NY, USA
120K-170K Annually
Senior level
120K-170K Annually
Senior level
Real Estate • Software • PropTech
The Senior Data Engineer will design and execute data-driven research, develop machine learning models, and collaborate with stakeholders to provide actionable insights.
Top Skills: HadoopPythonSparkSQL
38 Minutes Ago
In-Office
New York, NY, USA
108K-203K Annually
Senior level
108K-203K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior Data Analyst will design ETL pipelines, conduct analyses, and collaborate with teams to provide data insights for operational efficiency in lending.
Top Skills: ETLLookerModeSQLTableau

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account