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Tier-1 employer, metro location, and broad in-demand data engineering skills drive high competition.
Data engineering skills are generally transferable, though finance/SOX familiarity moderately biases fit.
Explicit 10+ years requirement plus mandatory data engineering, cloud, and Databricks skills increase strictness.
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Architect and implement scalable data ingestion, maintenance, and exposure solutions for FactSet’s internal Data Lake.
Lead and influence engineering decisions across multiple teams while collaborating with stakeholders on strategic data projects.
Drive modernization efforts involving migration from SQL to Databricks and AI-based data solutions while ensuring security and SOX compliance.
Bachelor’s or Master’s degree in Computer Science or equivalent.
10+ years of software engineering experience with deep expertise in data engineering.
Proficiency in Python, SQL, relational database design, ETL pipelines, and AWS cloud technologies including EC2.
Experience as a Lead or Principal Software Engineer; familiarity with Databricks and AI technologies is highly preferred.
Technical leader with proven ability to lead complex data engineering projects and influence cross-team engineering decisions.
Experienced in collaborating with non-technical stakeholders across corporate functions such as Finance and Sales to deliver strategic data solutions.
Skilled in modern data infrastructure modernization including Databricks and AI-driven technologies within secure and compliance-focused environments.