Data Engineer

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

• 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

• 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.