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Salary: USD 200,000 - 240,000 / annual
Altruist is an AI-native platform transforming wealth management by empowering financial advisors to grow their practices, optimize resources, and deliver superior client outcomes. The company is building intelligent systems that make financial advice better, more affordable, and accessible.
You will design and build scalable data pipelines and data serving platforms that form the foundation of AI capabilities across the company. This is a high-impact individual contributor role where you'll work on the full lifecycle of financial data—from ingestion through serving—while proactively identifying opportunities to embed intelligent systems into the product.
Key responsibilities:
- Design and build high-performance data pipelines to manage the complete lifecycle of financial data
- Create foundational frameworks and platforms that establish AI as a core capability within the company
- Advocate for and demonstrate effective use of AI throughout the software development lifecycle
- Ensure data integrity and quality across multiple sources
- Optimize query performance and troubleshoot data issues
You'll work in a culture built on kindness (listening, healthy debate, respectful conflict), brilliance (humility, growth mindset, ownership), and grit (laser focus on mission, nimbleness, adaptability). The company has offices in San Francisco, Culver City, and Dallas, with a one-month work-from-anywhere policy.
Benefits include competitive total compensation with bonus eligibility, premium healthcare/dental/vision, 401k with 4% match and immediate vesting, 16 weeks paid parental leave after one year, professional development budget, company perks program, financial guidance counseling, and flexible work arrangements.
REQUIREMENTS:
- 4+ years of software engineering experience
- Proficiency in modern programming languages, with strong focus on 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 (Spark or similar frameworks)
- Working knowledge of cloud infrastructure, especially AWS and Kubernetes
- Proficiency in AI-assisted development tools (e.g., Cursor, Claude Code)
- B.A./B.S. in Computer Science or equivalent experience
- Strong ownership mentality, communication skills, resilience, and creative problem-solving ability
PREFERRED:
- Experience with data warehouses such as Snowflake
- Experience with data orchestration tools such as Airflow
- Experience with data transformation and modeling tools such as dbt
