Morgan Stanley
Back-end Engineer - Data Platforms
$155K–$215K
New York, New York · Hybrid · Full-time · Posted Sep 22, 2026
- Experience
- 8+ years of software engineering experience, with a strong focus on backend development.
- Education
- Bachelor’s or master’s degree in computer science, Engineering, Information Technology, or related field.
About the job
Designs and leads development of scalable backend services, data platforms, pipelines, and graph-based analytics for business and regulatory workloads.
What you'll do
- Architect and build scalable backend systems, data pipelines, and distributed processing solutions.
- Lead architecture, design and code reviews, and establish engineering practices for reliability, performance, and delivery.
- Mentor engineers and promote AI-assisted development and automation in engineering workflows.
What they ask for
- Expert-level Python programming and hands-on PySpark and distributed data processing experience.
- Strong expertise in Snowflake architecture, data modeling, and performance optimization.
- Experience with large-scale data pipelines and platforms, graph technologies, and system architecture.
- Experience with architecture and code reviews, CI/CD, DevOps, testing, and AI-assisted engineering practices.
Nice to have
- Experience in financial services, risk, AML, transaction monitoring, regulatory technology, or data platforms.
- Experience with AWS, Azure, or GCP; Docker or Kubernetes; or data governance and lineage frameworks.
Pay
$155,000 and $215,000 per year USD (base salary)
Tools
Python, PySpark, Spark, Hadoop, Kafka, Databricks, Delta Lake, Snowflake
AI focus
Use AI-assisted developer tools and drive adoption of AI-powered coding, documentation, testing, review, and workflow automation.
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