Senior Back End Engineer, Data

Responsibilities

• Design and build high-performance data pipelines managing the full lifecycle of financial data.
• Create foundational frameworks and platforms that establish AI as a core company capability.
• Advocate for and demonstrate effective use of AI throughout the software development lifecycle.
• Ensure data integrity and quality across multiple data sources.
• Optimize query performance and troubleshoot data issues.

Requirements

• 4+ years of software engineering experience.
• Proficiency in modern programming languages, especially Python or Java.
• Experience with database systems, data warehouses, ETL pipelines, and mature data processes at scale.
• Experience with offline data processing and batch pipelines such as Spark or similar frameworks.
• Working knowledge of cloud infrastructure, especially AWS and Kubernetes.
• Proficiency with AI-assisted development tools such as Cursor or Claude Code.
• Bachelor of Arts or Bachelor of Science degree in Computer Science or equivalent experience.
• Preferred experience with data warehouses such as Snowflake, orchestration tools such as Airflow, and data transformation and modeling tools such as dbt.
• Strong ownership, communication, resilience, assurance, and creative problem-solving abilities.

Benefits

• Premium HMO and PPO healthcare, dental, and vision insurance plans.
• 401(k) savings plan with a 4% match and immediate vesting.
• 16 weeks of paid parental leave after one year of employment.
• Professional growth opportunities, including an employee mobility program and annual learning and development budget.
• Company perks program with discounts on pet insurance, fitness, cell phone plans, and travel.
• Financial guidance program covering debt, spending, saving, planning, and home-purchasing preparedness.
• One month of work-from-anywhere flexibility, except in certain countries.
• Office locations in Culver City, California, San Francisco, California, and Dallas, Texas.