Data Engineer II

The salary range for this role is $106,000 - $146,300 + Bonus As a Data Engineer II at Numerator, you will help our team deliver data products, analytics, and models quickly and independently. The role is cross-functional and responsible for developing resilient data pipelines and infrastructure for evaluating and deploying data science models.

The ideal candidate should be experienced with processing large quantities of data, building algorithms alongside software engineers, data warehouse and/or service architecture, and using declarative infrastructure and Kubernetes.They should also be someone who uses AI to work faster and smarter every day, and who is excited to help build the internal AI agents that are changing how Numerator works.

You will have a broad impact and exposure across Numerator as you help build out and expand our technology platforms across several software products. This is a fast-paced role with high growth, visibility, and impact, and where many of the decisions for new projects will be driven by you and your team from inception through production.

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 are supported by clean and validated data Build, deploy, and support internal AI agents, along with the data pipelines, tools, and infrastructure they rely on to deliver reliable, accurate results Design and develop pipelines that enforce data validation, quality checks, and best practices for integrating Data Science models into customer-facing products

2-3 years of experience in data engineering, data warehousing, or related roles with a strong focus on data quality. Proficiency in Python (preferred) or another major programming language, along with SQL, with experience in implementing data validation and transformation processes. Know how to supercharge your work with AI, using AI coding assistants and LLM tools day to day to ship faster without compromising on quality Expertise in data modeling, ETL/ELT design, and workflow orchestration (preferably using Airflow), ensuring data transformations meet business needs while maintaining integrity and quality.

Experience designing and deploying cloud-based production solutions (AWS, Azure, or GCP), with a focus on maintaining data quality 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: Experience with AWS or any cloud-based certifications (e.

g., AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate). Experience with Terraform and/or Ansible (or similar) for infrastructure deployment. Experience with Airflow, including building and monitoring DAGs and developing custom operators. Experience with Snowflake, Databricks, or another data warehouse.

Experience working with containerized services such as Docker and Kubernetes. Familiarity with Tableau or any data visualization tool 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.