Data Engineer

The Research Engineering team plays a vital role at the firm, collaborating with data scientists and investment teams to improve the firm''s ability to generate unique investment insights. The Data Engineer joining our team will build, refine, and maintain efficient data infrastructure to support the team''s data ingestion and analytical efforts. The ideal candidate is a smart, self-driven, and creative problem solver with strong technical and quantitative data skills. RESPONSIBILITIES

• Own the onboarding and maintenance of complex data sets across a variety of sources to support the investment process.
• Collaborate with data scientists and engineers to enhance systems and build new tools that streamline data pipelines across the entire data lifecycle.
• Contribute to and integrate into a growing internal Python software ecosystem, writing scalable, well-tested, and maintainable code.

• Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline.
• 3+ years of professional experience developing data infrastructure.
• Strong programming skills in Python and SQL.
• Experience with data ingestion tools such as dbt.
• Ability to manage multiple tasks and deadlines in a fast-paced environment.
• Strong desire to continuously learn and challenge oneself.
• Entrepreneurial mindset to identify opportunities and drive toward solutions.
• Clear and concise written and verbal communication skills.
• Ability to work cooperatively across all levels of staff in a team-oriented environment.
• Commitment to the highest ethical standards, professionalism, and integrity.

NICE TO HAVE

• Solid background in math, statistics, or finance.
• Prior knowledge of equities markets and data ecosystems.
• Experience working within a complex in-house codebase