Senior Data Engineer

DATA ENGINEERING

What We Do

Our mission is to provide a world-class platform that empowers the business to leverage data that will enhance, monitor, and support our products. We are responsible for data ingestion systems, processing pipelines, and various data stores all operating in the cloud. We operate at a petabyte scale, and support near real-time use cases as well as more traditional batch approaches.

What You'll Do

You will be responsible for designing, building, and maintaining our Metrics Catalog to ensure the reliability and efficiency of our data and systems used by our Experimentation tooling. Your role will include creating and maintaining data pipelines that transform and load data from various products in a way which is aligned with established data governance and stewardship practices. Additionally, you will collaborate with engineers, product managers, and data scientists to support Epic's goals.

In this role, you will

• Interact with product teams to understand how our different product areas track performance and measure success
• Design and implement automated end-to-end ETL processes, including designing metrics and data anonymization, to prepare data for experimentation and monitoring purposes
• Devise database structure for storing and efficiently accessing large data sets
• Write well-tested SQL and Python modules
• Collaborate with domain experts to build out a catalog of company core product metrics leveraged for AB testing

What we're looking for

• Experience in ETL technical design, automated data quality testing, documentation, data warehousing, and data modeling
• Proficiency with SQL and data warehouse design / medallion tables for player metrics and dimension tables within large-scale analytics platforms, such as Databricks, Snowflake, or other comparable systems
• Proficiency with Github or similar version control tooling
• Proficiency developing and maintaining orchestration for ETL pipelines, such as Apache Airflow
• Familiarity with feature management, dynamic configs, and experimentation services (such as Statsig) and AB testing on production systems

This role is open to multiple locations across the US (including NYC).

Pay Transparency Information

The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs).