Job Information
Numerator Senior Data Engineer in Chicago, Illinois
Numerator is seeking a highly-skilled Senior Data Engineer to join our Data as a Service (DaaS) team. As part of our DaaS team, you will be a vital member ensuring on-going excellence in delivery of our data feed solutions. You will be responsible for overseeing the technical delivery of our data feeds product to a myriad of clients and strategic partnerships, as well as identify and work on on-going improvements and extensions to this capability. This is an opportunity to collaborate and influence the future direction of a cross-functional team in a key business area.
What You'll Do:
Architecture & Solution Design: Own end-to-end technical design across application, orchestration, and data layers (AWS, Airflow, Snowflake), delivering scalable, performant solutions aligned to product strategy and operational constraints.
Cross-Functional Collaboration: Partner closely with Product Management and Sales to translate business requirements into technical specifications and scalable, shippable products.
Technical Mentorship & Standards: Drive engineering best practices, conduct thorough code reviews, and mentor mid-level and junior engineers on design patterns, testing, and operational excellence.
System Reliability & Optimization: Manage and maintain the underlying cloud infrastructure (e.g., AWS) and databases, ensuring exceptional performance, reliability, security, and cost-efficiency.
5+ 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, and ensuring that data transformations meet business goals while maintaining integrity and quality
Experience with Amazon Web Services (EC2, RDS, EKS)
Experience with Terraform and/or Ansible (or similar) for infrastructure deployment
Ideally experience with Airflow -- building and monitoring DAGs and developing custom operators
Experience with Snowflake, Databricks, or another data warehouse
Exposure to containerized services (Docker/Kubernetes)
What We Offer:
Competitive salary and benefits package.
Flexible working hours and the option for remote work.
Opportunity to work on impactful projects with a modern tech stack.
Collaborative and inclusive team culture.
Professional development opportunities to grow your skills and career.