Data Engineer

We’re reinventing the market research industry. Let’s reinvent it together.

At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

Numerator is seeking a Data Engineer I to play a pivotal role in driving decision-making, uncovering new opportunities, and enhancing our rapidly evolving platforms. In this role, you will lead initiatives to automate, enhance, maintain, and scale services in a dynamic, fast-growing environment.

As a Data Engineer I, you’ll be instrumental in delivering data products, analytics, and models efficiently and independently. This cross-functional role involves designing and developing robust data pipelines, building infrastructure to evaluate and deploy data engineering models, and collaborating closely with software engineers.

How You'll Spend Your Time

• Collaborate with Product, Analytics, Data Science, and Engineering teams to build or enhance data products while ensuring adherence to data quality standards
• Lead complex, end-to-end projects focused on improving data quality and ensuring statistical models (e.g., sampling, segmentation, classification, predictive modeling) are supported by clean and validated data
• Design and develop pipelines that enforce data validation, quality checks, and best practices for integrating Data Science models into customer-facing products
  
  

What You'll Bring to Numerator

• 1 years of experience designing data warehouses, building data pipelines, or working in data-intensive engineering roles with a strong focus on data quality
• Proficiency in a major programming language (preferably Python) and SQL with experience in implementing data validation and transformation processes
• Expertise in data modeling, ETL design (especially Airflow and Dbt), and ensuring that data transformations meet business goals while maintaining integrity and quality
• Experience designing and deploying cloud-based production solutions (AWS, Azure, or GCP), ensuring data quality is maintained across environments
• Strong attention to detail, intellectual curiosity, and a commitment to delivering high-quality data in a fast-paced, collaborative environment
  
  

Nice to haves

• Familiarity with Amazon Web Services (EC2, RDS, EKS).
• Experience with Terraform and/or Ansible (or similar) for infrastructure deployment
• Familiarity with Airflow -- building and monitoring DAGs and developing custom operators
• Familiarity with Dbt and Airbyte for data transformation and migration.
• Familiarity with Snowflake, Databricks, or another data warehouse.
• Exposure to containerized services (Docker/Kubernetes)
• Experience working with marketing insights, shopping data, or in the retail industry
  
  

What We Offer:

• An inclusive and collaborative company culture- we work in an open environment while working together to get things done, and adapt to the changing needs as they come.
• Market competitive total compensation package.
• Volunteer time off and charitable donation matching.
• Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resource groups.
• Great benefits package including health/vision/dental, Personal Spending Account, unlimited PTO, flexible schedule, 401K matching, travel reimbursement and more.