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Generalist Software Engineer title, mid-level requirement, and metro location increase applicant competition.
Data engineering skills are transferable but financial/private-markets domain adds moderate industry specificity.
Explicit 2+ years requirement plus mandatory Python, AWS, and database skills create moderate filter strictness.
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Develop and maintain data pipelines and tools using Python and AWS services to support FactSet’s Private Equity & Venture Capital research platform.
Deliver high-quality, reusable, and maintainable code with unit and integration testing within estimated timelines, ensuring product stability and performance improvements.
Collaborate in an agile Scrum environment, owning end-to-end product features, conducting code reviews, and sharing knowledge internally and externally.
Bachelor's or Master's degree in Computer Science.
At least 2 years of overall industry experience, with 1-2 years specifically in Python programming.
Proficiency with Python, Pandas, NumPy, and AWS technologies such as Kinesis, Glue, Redshift, EC2, S3, Fargate, Lambda, EMR.
Experience with relational databases (preferably POSTGRES or MSSQL) and GitHub-based development processes.
Experienced in building and deploying production-level Python services with AWS cloud infrastructure.
Comfortable working in a fast-paced, agile Scrum environment with strong communication and collaboration skills.
Proactive in problem-solving and continuous improvement with an ability to prioritize work effectively and share technical knowledge.