Senior Data Platform Engineer - Databricks & Spark

Local First Arizona; United States; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive total compensation package

Paid vacation and parental leave

Volunteer day

Job summary

Federated Hermes, Inc. is seeking a Senior Application Developer to join our Global Technology Organization based in Warrendale, Pennsylvania. The role involves designing and maintaining scalable data pipelines on Databricks, writing efficient PySpark or SQL code, and ensuring data quality.

With a competitive compensation package, including bonuses and time off programs, this position offers excellent opportunities for professional growth and participation in community programs.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years programming experience including at least one year with a big data platform.
• Experience in data engineering, Python, SQL, and cloud platforms such as Azure.

Responsibilities

• Design, build, and maintain scalable data pipelines on Databricks.
• Write clean, efficient and maintainable PySpark or SQL code for data transformation.
• Monitor and optimize performance of Spark jobs and cluster usage.

Skills

Data engineering

Python

SQL

Big data platforms

Azure

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Databricks

Data visualization tools

Job description

Federated Hermes, Inc. is seeking a Senior Application Developer to join our Global Technology Organization based in Warrendale, Pennsylvania. The role involves designing and maintaining scalable data pipelines on Databricks, writing efficient PySpark or SQL code, and ensuring data quality.

With a competitive compensation package, including bonuses and time off programs, this position offers excellent opportunities for professional growth and participation in community programs.