Data Engineer (AI, ML, and Data Science)

Consumer Reports

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profile Job Location:

Yonkers, NY - USA

profile Monthly Salary: $ 100 - 120
Posted on: 16 hours ago
Vacancies: 1 Vacancy

Job Summary

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 CRand its 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 youre passionate about solving complex data challenges working with cutting-edge AI technologies and enabling impactful data-driven products that support CRs mission this is the role for you.

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

How Youll 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. Were 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 CRs 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

Youll 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. Youve earned a Bachelors 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.

Youll 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 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 candidates 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.

WHO WE AREConsumer 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 ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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