Software Engineer, Strategy Research Analytics

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Oversee the design, enhancement, and long-term architecture of the analytics infrastructure that supports research reporting and analysis across various strategies.

• Take charge of the implementation and continuous operation of recurring analytics pipelines, which includes Airflow DAGs, monitoring, alerting, and enhancements in reliability.

• Lead the architectural progression through schema standardization, DAG consolidation, and the modernization of outdated workflows.

• Facilitate technical alignment across teams when merging duplicated or inconsistent analytics outputs.

• Construct and maintain foundational analytics tables and metrics while adhering to strong schema discipline and ensuring reproducible computation.

• Establish and execute reliability standards, SLOs, observability patterns, runbooks, incident responses, and postmortems.

• Enhance dataset transparency, discoverability, documentation, schema contracts, metadata, and lineage.

• Optimize distributed computing and SQL query performance, including effective partitioning and file sizing for columnar storage.

• Guide engineers through design reviews and elevate operational and modeling rigor.

• Collaborate with Data Scientists, Researchers, and Data Infrastructure teams to ensure the availability of reliable, consistent, and queryable datasets.

⛳️ Requirements

• Bachelor's degree in Computer Science or equivalent professional experience.

• A minimum of 3 years of experience in building and operating analytics or data infrastructure systems.

• Strong expertise in Python and SQL.

• Extensive experience with distributed query engines and large-scale computing systems.

• Proven ownership of large-scale or mission-critical data infrastructure.

• Solid data modeling skills, encompassing schema design, partitioning strategy, and considerations for reproducibility.

• Proficiency in metadata management, data lineage, and strong data governance principles.

• Experience in leading architectural migrations or substantial data-platform refactors.

• Familiarity with AWS cloud technologies and on-premises computing clusters, such as Slurm, SSH, and Unix.

• Exposure to quantitative research or machine-learning environments.

• Legal authorization to work in the United States.

• Capability to meet current or future visa sponsorship requirements.

🏝️ Benefits

• Highly competitive compensation and benefits packages.

• Technology talks by industry experts.

• Modern and aesthetically pleasing office environment.

• Daily catered lunches provided.

• Comprehensive medical coverage.

• Dental coverage included.

• Vision coverage available.

• Life and AD&D insurance offered.

• 20 days of paid vacation annually.

• 9 sick days included.

• 401(k) plan with company matching contributions.

• Potential for a $15,000 referral bonus for eligible successful referrals.