Data Analytics Engineer

Responsibilities

• Automate Compliance and Finance regulatory processes.
• Build solutions that process large amounts of data from the data warehouse to generate accurate reporting.
• Build and maintain reconciliations.
• Partner with Compliance, Finance, and Treasury stakeholders to understand regulatory and financial obligations and business requirements.
• Translate business requirements into clean designs and scalable solutions.
• Provide technical guidance as the team’s tech lead.
• Prioritize work and perform hands-on design, development, and code review.
• Evolve technical standards and best practices.

Requirements

• At least 5 years of software design and development experience, including CI/CD, source code control, testing, and quality management.
• High proficiency in Python, SQL, and database design.
• Experience working with data warehouses such as Snowflake to generate complex solutions at scale.
• Strong communication skills with non-technical business stakeholders, product managers, and engineers.
• Ability to troubleshoot, logically assess problems, and determine solutions.
• Self-starter with a sense of urgency and eagerness to learn and apply new technologies.

Nice-to-Haves

• Experience in post-trade automation, including designing and architecting systems for complex data problems.
• Experience generating financial industry regulatory reports such as EMIR, MiFID, SFTR, CPR, and K Factor.

Compensation and Benefits

• Base salary range: $150,000–$225,000.
• Company equity.
• 401(k) matching.
• Gender-neutral parental leave.
• Medical, dental, and vision insurance.
• Lunch stipends and stocked kitchens.
• Hybrid schedule with employees required to work in the office 4 days per week.