
1001 - 5000 employees
Founded 1986
📱 Media
💰 Private Equity Round on 2016-06
Media • Broadcasting • Entertainment
NEP Group, Inc. is a global media technology company that specializes in providing end-to-end production solutions for live events, television, and virtual productions. With a fleet of over 200 mobile production units and 83 studios worldwide, NEP Group offers a wide range of services including studio production, live event broadcasting, video rigging, augmented and virtual reality experiences, and comprehensive post-production services. The company delivers innovative technology and creative services, enabling clients to capture, manage, and showcase their content across various platforms.
🕒 February 14
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1001 - 5000 employees
Founded 1986
📱 Media
💰 Private Equity Round on 2016-06
Media • Broadcasting • Entertainment
NEP Group, Inc. is a global media technology company that specializes in providing end-to-end production solutions for live events, television, and virtual productions. With a fleet of over 200 mobile production units and 83 studios worldwide, NEP Group offers a wide range of services including studio production, live event broadcasting, video rigging, augmented and virtual reality experiences, and comprehensive post-production services. The company delivers innovative technology and creative services, enabling clients to capture, manage, and showcase their content across various platforms.
• Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks • Build and maintain scalable ingestion pipelines using dbt, Databricks, and Fivetran • Optimize queries, data partitioning strategies, and schema design for performance and cost • Partner with BI and ML teams to support analytics and advanced data use cases • Identify opportunities to improve data infrastructure and implement best-practice solutions • Troubleshoot data issues and provide technical guidance and support • Contribute to ongoing improvements in reliability, scalability, and data quality
• 5+ years of experience in data engineering with strong Python, SQL, and Spark skills • Hands-on experience building and automating ETL/ELT pipelines and working with data warehouses • Solid understanding of data modeling, schema design, and performance optimization • Experience with cloud-based data platforms such as Databricks and modern storage solutions (e.g., Delta Lake) • Familiarity with CI/CD, data versioning, and best practices for scalable data infrastructure • Knowledge of data governance, data quality, and lineage concepts • Understanding of cloud cost optimization, security, and access control best practices
• Medical, Dental, and Vision coverage • Vacation Days • Sick Days • 401(k) • Discount Programs • Life Insurance • Disability Insurance • Employee Assistance Program • Flexible Spending Account
Apply Now🕒 February 5
10,000+ employees
💸 Finance
☁️ SaaS
Data Engineer - Manager at PwC focusing on leveraging technologies for data solutions. Lead data infrastructure development and manage teams to deliver quality results.
🏢🏡 Atlanta – Hybrid
💵 $99k - $232k / year
💰 Grant on 2023-09
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
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