VP Data Management Engineer – AI-Powered Data Pipelines

BNY Mellon; Pittsburgh (Allegheny County); On-site; USD 140,000 - 190,000; Full time

Job summary

BNY Mellon is seeking a Data Management Engineer - Full Stack in Pittsburgh to translate business needs into scalable data models and robust pipelines. You’ll design ETL/ELT solutions, build Spark-based data flows, and contribute to CI/CD and automated testing.

The role collaborates with cross-functional teams to deliver data-driven finance platforms. Required: 2–6 years in software development, strong SQL/Python/Java, Spark, and experience with Power BI; familiarity with Snowflake/Oracle/SQL

Qualifications

• Bachelor’s degree in computer science, engineering or related discipline; 2–6 years software development in finance is a plus.
• Proficient in ETL/ELT development with Spark and workflow automation (Airflow, Control-M).
• Strong SQL, Python, Java, Spark skills and experience with Power BI or similar reporting tools.

Responsibilities

• Translate business requirements into scalable ETL/ELT data models.
• Develop data pipelines using Spark and write tests and documentation.
• Define reusable ETL/ELT components for data integration and migration.
• Collaborate to implement CI/CD pipelines and automated testing.
• Work with full-stack engineers and BI teams to deliver end-to-end data solutions.

Skills

Spark

Python

SQL

Java

Airflow

Control-M

Power BI

APIs

Azure

CI/CD

ETL/ELT

Big Data

Kubernetes

Education

Bachelor’s degree in CS/Engineering

Tools

Snowflake

Oracle

SQL Server

Hadoop

Job description

BNY Mellon is seeking a Data Management Engineer - Full Stack in Pittsburgh to translate business needs into scalable data models and robust pipelines. You’ll design ETL/ELT solutions, build Spark-based data flows, and contribute to CI/CD and automated testing.

The role collaborates with cross-functional teams to deliver data-driven finance platforms. Required: 2–6 years in software development, strong SQL/Python/Java, Spark, and experience with Power BI; familiarity with Snowflake/Oracle/SQL