Senior Data Engineer - Spark & Databricks Pipelines (Hybrid)

Federated Hermes; Warrendale (Allegheny County); Hybrid; USD 90,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Time off programs including paid vacation and parental leave

Professional development opportunities

Job summary

A global investment firm is seeking a Senior Application Developer to join their Global Technology Organization in Warrendale, Pennsylvania. The role involves designing and maintaining scalable data pipelines, writing efficient code using PySpark or SQL, and ensuring data quality across workflows. Candidates should have a bachelor's degree in a relevant field and at least 5 years of programming experience, including expertise in big data platforms. This position offers a hybrid working schedule and a competitive compensation package.

Qualifications

• Minimum of 5 years’ programming experience, including big data platforms.
• Experience in data engineering domain required.
• Familiarity with data visualization tools preferred.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Write clean, efficient and maintainable PySpark or SQL code.
• Ensure data quality, consistency, and governance.

Skills

Data engineering

Python

SQL

Azure

Databricks

CI/CD pipelines

Data lakehouse principles

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

Databricks

BI platforms

Job description

A global investment firm is seeking a Senior Application Developer to join their Global Technology Organization in Warrendale, Pennsylvania. The role involves designing and maintaining scalable data pipelines, writing efficient code using PySpark or SQL, and ensuring data quality across workflows. Candidates should have a bachelor's degree in a relevant field and at least 5 years of programming experience, including expertise in big data platforms. This position offers a hybrid working schedule and a competitive compensation package.