Lead Software Engineer- Financial Services Data Engineering: Pyspark/Java/BigData/Datalake/AI
Listed on 2026-11-05
-
Software Development
Data Engineering, AI Engineer (Applied/Software)
Lead modernization of analytics and data engineering on the strategic data mesh, defining an AI-driven data product lifecycle and building human-in-the-loop agents for data quality, schema changes, incident triage, and governance. Provide technical leadership, improve engineering practices with approved AI-assisted tools, and deliver scalable analytics platforms with strong monitoring, lineage, and regulatory controls.
Requirements: Requires at least five years of applied software engineering experience, with leadership delivering AI-first analytics and data engineering didates should have hands‑on experience with modern big data platforms and Python/PySpark or Java, plus expertise in AI/ML, data governance, CI/CD, secure AI-assisted development, and the software development lifecycle.
Key
Skills:
Python, PySpark, Java, Apache Spark, Databricks, Snowflake, Apache Iceberg, Big Data Engineering, Data Mesh, Data Lakehouse, Machine Learning, Natural Language Processing, Large Language Models, Agentic Frameworks, Data Governance, CI/CD
Benefits: Health Care Coverage, On-Site Health And Wellness Centers, Retirement Savings Plan, Backup Childcare, Tuition Reimbursement, Mental Health Support, Financial Coaching
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).