Analyst, P1, Software Eng I : Job Level… at E*TRADE from… · New York

Summary: E*TRADE from Morgan Stanley is a global leader in financial services seeking a Software Engineering Analyst to join their Technology division. The role focuses on developing and maintaining software solutions that support business needs, including building data pipelines and collaborating on scalable data models. Responsibilities: - The Data Engineer will support the design and development of big data pipelines and distributed data processing systems for enterprise analytics and data products - Assist in building and maintaining large scale data pipelines using Apache Spark and distributed processing frameworks - Support batch and streaming data ingestion and transformation workflows - Develop and maintain Python-based data processing and validation components - Use AI-assisted development tools (e.g., coding copilots, code review and debugging tools) to improve development efficiency and quality - Monitor data pipelines and help ensure data quality, reliability, and observability - Collaborate with senior engineers, architects, and analysts on scalable data models and ingestion patterns - Participate in testing, deployment, and CI/CD activities for data pipelines - Document data flows, pipelines, and operational procedures Required Qualifications: - Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience) - 0-2 years of experience or strong academic/project experience in data engineering or big data systems - Working knowledge of Python for data processing and automation - Working knowledge of Apache Spark (coursework, internships, or projects acceptable) - Understanding of distributed systems fundamentals (e.g., partitioning, fault tolerance, scalability) - Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and cloud-based data services - Exposure to AI-powered developer tools for coding, testing, or documentation - Strong problem-solving skills and willingness to learn in a fast-paced environment - Comfortable working in Linux/UNIX environments Required Skills: Python, Apache Spark, Distributed systems Important Skills: Cloud platforms, AI-assisted tools Nice-to-Have Skills: Linux/UNIX, Problem-solving Benefits: Commission earnings, Incentive compensation, Discretionary bonuses, Other short and long-term incentive packages, Other Morgan Stanley sponsored benefit programs