Job DescriptionDATA MANAGEMENT ENGINEER - Full StackWe9re seeking a future team member for the role of Vice President, Data Management Engineer to join our Finance Platform9s Client Profitability Engineering team. This role is in Pittsburgh, PA.
In this role, you9ll make an impact in the following ways:
- 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.
To be successful in this role, we9re seeking the following:
- Proven experience in the design, development, and implementation of large-scale projects within financial industries, utilizing Data Warehousing ETL tools (including Spark).
- Bachelor9s degree in computer science engineering or a related discipline, or equivalent work experience required2-6 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.
Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life9s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting.
Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee9s eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, the employee will be in an 4at will4 position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
