Data Engineer

Career Opportunities with NEP Group Inc.

A great place to work.

Current job opportunities are posted here as they become available.

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.

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

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