Data Engineer - Remote
Company: Sundayy
Location: Location not specified (Remote)
Type: Contract
Remote: Yes
Posted: 2026-05-30
About this role
About The Company
NEP Group is a global leader in providing innovative technology solutions for content creation, live events, and virtual production. With a rich history spanning over 40 years, NEP has established itself as a trusted partner for some of the world's most watched productions across sports, entertainment, concerts, festivals, film, and television. The company’s comprehensive suite of services includes live production, virtual production, and remote broadcasting, supported by a cutting-edge Global Production Ecosystem that empowers content creators and rights holders to tell their stories in groundbreaking ways. NEP's commitment to excellence, innovation, and customer satisfaction has made it a preferred choice for clients seeking reliable and scalable production solutions worldwide.
About The Role
We are seeking an experienced Data Engineer to join our dynamic team and contribute to the development and optimization of our data infrastructure. In this role, you will be responsible for designing, building, and maintaining modern data pipelines that support analytics, business intelligence, and machine learning initiatives across NEP Group. Your primary focus will be on developing scalable ETL/ELT workflows that feed into Snowflake and Databricks platforms, ensuring high performance, reliability, and cost-efficiency. You will collaborate closely with BI and ML teams to facilitate advanced data use cases, troubleshoot data issues, and continuously improve our data platform to support our expanding global operations. This position offers a hybrid work environment in Pittsburgh, with flexibility for fully remote candidates within Eastern or Central time zones.
Qualifications
- 5+ years of experience in data engineering or related roles
- Proficiency in Python, SQL, and Apache Spark
- Hands-on experience building and automating ETL/ELT pipelines
- Experience working with data warehouses and modern cloud data platforms such as Snowfla...