Data Engineer

Pittsburgh, PA, US • Posted 3 days ago • Updated 4 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Workflow
  • Collaboration
  • Snow Flake Schema
  • Business Intelligence
  • Machine Learning (ML)
  • Analytics
  • Use Cases
  • Leadership
  • Scalability
  • Data Engineering
  • Python
  • SQL
  • Apache Spark
  • Extract
  • Transform
  • Load
  • ELT
  • Data Warehouse
  • Data Modeling
  • Performance Tuning
  • Databricks
  • Storage
  • Continuous Integration
  • Continuous Delivery
  • Data Governance
  • Data Quality
  • Cloud Computing
  • Optimization
  • Access Control
  • Life Insurance
  • Insurance
  • Value Engineering

Summary

We're looking for an experienced Data Engineer to help design, build, and optimize modern data pipelines that power analytics, BI, and machine learning across NEP Group. In this role, you'll develop scalable ETL/ELT workflows feeding Snowflake and Databricks, collaborate closely with BI and ML teams, and continuously improve our data platform to support a growing global organization.

If you enjoy working with large datasets, modern cloud tools, and solving complex data challenges, this is a chance to make a real impact.

Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote candidates in Eastern or Central time zones.
What You'll Do:
  • 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
What You'll Need:
  • 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
Benefits
  • Medical, Dental, and Vision coverage
  • Vacation Days
  • Sick Days
  • 401(k)
  • Discount Programs
  • Life Insurance
  • Disability Insurance
  • Employee Assistance Program
  • Flexible Spending Account

You might not know our name, but you've probably seen our work - on stage, on screen or on the field. Our technology solutions and unique Global Production Ecosystem empower content creators and rights holders to tell their stories in breakthrough ways. We've supported some of the world's most watched productions and live events in sports, entertainment, concerts, festivals, film, TV and more. For 40 years our clients have trusted us to deliver live production, live events, and virtual production solutions for them, anytime, anywhere. Put simply, we bring content to life.

Check us out at
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX14ef46
  • Position Id: 65715a8650d368c4b1b55ea856ca3ddb
  • Posted 3 days ago
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