Senior Data Engineer

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.