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, we’re 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).
Bachelor's 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.
At BNY, our culture speaks for itself, check out the latest BNY news at:
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Here’s a few of our recent awards
America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune 2025
“Most Just Companies”, Just Capital and CNBC, 2025
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 life’s 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 is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
