Full-Stack Data Management Engineer — AI-Driven Finance

BNY; Pittsburgh (Allegheny County); On-site; USD 90,000 - 130,000; Full time

Job summary

BNY is seeking a Data Management Engineer – Full Stack in Pittsburgh, PA. You will translate business needs into scalable data models, develop robust Spark pipelines, and build reusable ETL/ELT components to support evolving financial solutions.

You will collaborate with cross-functional teams to deliver secure, reliable data platforms using CI/CD, AI tools, and modern data technologies, driving impactful outcomes for clients and the business.

Qualifications

• Design, develop, and implement large-scale data projects in financial services using ETL/ELT with Spark.
• Bachelor’s degree in CS or related field or equivalent work experience; 2–6 years of software development.
• Proficient in Spark, SQL, Python, Java; experience with Airflow and orchestration tools.

Responsibilities

• Translate business requirements into ETL/ELT models for scalable data solutions.
• Develop robust data pipelines using Spark; write tests and documentation.
• Define reusable ETL/ELT components and optimize data flows for integration and migration.
• Integrate data technologies and apply security/privacy principles.
• Design, build, and maintain CI/CD pipelines across environments.
• Install and manage automated testing tools; leverage AI-first development approaches.
• Collaborate with full-stack engineers and business users to deliver elegant solutions.

Skills

Spark

Python

SQL

Java

Airflow

Control-M

Power BI

CI/CD

Azure

Kubernetes

Hadoop

APIs

AI tools

Education

Bachelor's degree in computer science or related field

Tools

Spark

Airflow

Control-M

Power BI

GitHub Copilot

Windsurf

Azure Cloud

Kubernetes

Snowflake

Job description

BNY is seeking a Data Management Engineer – Full Stack in Pittsburgh, PA. You will translate business needs into scalable data models, develop robust Spark pipelines, and build reusable ETL/ELT components to support evolving financial solutions.

You will collaborate with cross-functional teams to deliver secure, reliable data platforms using CI/CD, AI tools, and modern data technologies, driving impactful outcomes for clients and the business.