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Strong employer brand, metro location, generalist Software Engineer title, and mid-level experience increase applicant competition.
Data engineering skills (Python, AWS, databases) are highly transferable across industries.
Explicit 2+ years requirement plus mandatory Python, AWS, and database skills create strict filtering.
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Develop and maintain data pipelines and tools using Python and AWS technologies to support Private Equity & Venture Capital product.
Deliver high-quality, reusable, and maintainable code; perform unit and integration testing; and ensure product stability and scalability.
Own end-to-end product delivery, actively participate in agile processes, code reviews, and continuous knowledge sharing within the team.
Bachelor's or Master's degree in Computer Science.
2+ years of overall industry experience; 1-2 years of experience in Python development.
Proficiency with Python, Pandas, NumPy, and AWS environment (e.g., Kinesis, Glue, Redshift, EC2, S3, Fargate, Lambda, EMR).
Experience with relational databases (preferably POSTGRES, MSSQL) and GitHub-based development processes.
Experienced in building and deploying production-level Python services within cloud AWS environments, focused on private markets data or financial services domain.
Comfortable working in Agile Scrum teams with strong collaboration and ownership mindset for end-to-end product delivery.
Analytical, detail-oriented with proficiency in automation, monitoring, and performance improvements using metrics.