Data Engineer

Pittsburgh, PA - USA

Monthly Salary: Not Disclosed

Posted on: 20 hours ago

Vacancies: 1 Vacancy

Department:

Shared Services

Job Summary

Were looking for an experienced Data Engineer to help design build and optimize modern data pipelines that power analytics BI and machine learning across NEP this role youll 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 Youll 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 Youll 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 youve 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. Weve supported some of the worlds 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 Experience:

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 Youll 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 Youll 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