DATA MANAGEMENT ENGINEER – Full Stack
About The Position
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President, Data Management Engineer to join our Finance Platform’s Client Profitability Engineering team. This role is in Pittsburgh, PA.
Requirements
- Proven experience in the design, development, and implementation of large-scale projects within financial industries, utilizing Data Warehousing ETL tools (including Spark).
- Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required
- 2-6 years of experience in software development required; experience in the securities or financial services industry is a plus
- Proficient in creating ETL transformations and jobs with Spark and automating workflows through orchestration tools such as Airflow and Control-M.
- In-depth knowledge and hands-on experience with SQL, Python, Java, Spark and reporting tools like Power Bi.
- Oracle, Snowflake, SQL Server or any other relational database experience necessary.
- Familiarity with Big Data and distributed frameworks including Spark, Kubernetes, Hadoop, and Hive.
- Experience working with APIs to create, test and manage APIs for inter-process communication.
- Adopt AI-first software development practices.
- Experience leveraging AI tools (e.g., GitHub Copilot, Cursor, Windsurf, or similar LLM-based assistants) to accelerate daily development tasks such as code generation, debugging, code review, building unit tests and documentation.
- Ability to design ETL/ELT solutions tailored to user reporting and archival needs.
- Demonstrated commitment to delivering excellent customer service and effectively addressing client requirements.
- Self-motivated and capable of working independently with minimal supervision.
- Comprehensive experience in building and managing CI/CD pipelines.
- Basic understanding of Azure Cloud components.
- Passion for problem solving and designing for scale.
- Experience following best practices of design, development, testing and release management.
- Good understanding of monitoring tools such as AppDynamics, Splunk & Moogsoft.
Responsibilities
- Translate business requirements into ETL/ELT logical models, ensuring data structures are designed for scalability and flexibility to support evolving business solutions.
- Develop and implement robust data pipelines using Spark. Design and code programs, create test transactions and write documentation that describes installation and operating procedures.
- Define and deliver reusable components within the ETL/ELT framework.
- Establish optimal data flows for system integration and data migration.
- Integrate emerging data management technologies and software engineering tools into existing architectures. Apply security and privacy principles.
- Design, construct, and maintain CI/CD pipelines across multiple integration and test environments.
- Install, configure, and manage automated testing tools within the environment.
- Utilize AI based development / vibe coding (e.g. Windsurf, Codex) and techniques to develop solutions
- Knowledge and experience building agents and agentic solutions.
- Participate in deployment process following all change controls. Provide ongoing maintenance, support and enhancements in existing systems and platforms. Provide recommendations for continuous improvement.
- Work alongside other engineers on the team to elevate technology and consistently apply best practices.
- Collaborate closely with all the other members of the team to take shared responsibility for the overall efforts that the team commits to.
- Collaborate cross-functionally with full-stack engineers, business users, project managers and other engineers to achieve elegant solutions.
Benefits
- highly competitive compensation
- benefits
- wellbeing programs
- flexible global resources and tools
- generous paid leaves
- paid volunteer time
- medical, dental, vision, and basic life insurance plans
- various paid time off benefits, such as vacation and sick time
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
Associate degree
