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BNY

Safeguards and moves assets for investors

AI / Machine Learning Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-time$126k - $210k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Nine to eleven years of experience in software development and data engineering; financial services experience is a plus.
  • Strong experience building large-scale batch and streaming data pipelines and backend data environments.
  • Deep expertise in Spark/Databricks, Kafka, SQL, and orchestration tools such as Airflow and/or dbt.
  • Strong understanding of cloud and lakehouse architectures, distributed processing, and storage formats such as Parquet and Delta.
  • Experience with data modeling, schema design, lineage, metadata, and data quality frameworks.
  • Proven ability to improve performance, scalability, reliability, cost efficiency, and governance across data platforms.
  • Strong stakeholder management, problem-solving, and technical leadership skills, including mentoring engineers and leading complex delivery.

Responsibilities

  • Design, build, and optimize batch and streaming data pipelines that deliver high-quality, governed data to AI, analytics, and enterprise platforms.
  • Develop scalable transformation frameworks across cloud and lakehouse environments, focusing on reliability, performance, and cost efficiency.
  • Implement data modeling, schema design, lineage, metadata, and data quality controls to create trusted, reusable data assets.
  • Build and support orchestration and workflow automation for complex pipelines and dependencies using modern data engineering tools.
  • Partner with analytics, AI, business, and technology teams to translate requirements into scalable, secure, and governed data solutions.
  • Resolve complex platform and pipeline issues related to performance, reliability, integration, and data quality.
  • Promote engineering best practices in distributed processing, testing, monitoring, security, and continuous improvement.
  • Provide technical leadership and mentoring while contributing to the adoption of modern data engineering and lakehouse capabilities.

Desired Qualifications

  • Financial services experience.

About the Company

BNY

Safeguards and moves assets for investors

BNY safeguards financial assets and runs investment services for institutions, investment firms and wealthy clients around the world. Its custody business keeps clients' securities safe and handles the records and transactions needed to administer investment funds. Banks and brokers use its systems to settle trades, manage collateral and send payments, while its investment and wealth businesses manage portfolios and advise clients. It earns servicing and management fees as well as interest on loans and securities funded by client deposits. BNY traces its roots to the Bank of New York, founded by Alexander Hamilton in 1784, and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1784

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