SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 170,000 - 225,000 / annual
Altruist is an AI-native platform transforming the wealth management industry 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. Your work will directly enable financial advisors to deliver exceptional client service through intelligent systems.
Key responsibilities:
- Design and build high-performance data pipelines managing the full lifecycle of financial data
- Create foundational frameworks and platforms establishing AI as a core company capability
- Advocate for and demonstrate effective AI use throughout the software development lifecycle
- Ensure data integrity and quality across multiple sources
- Optimize query performance and troubleshoot data issues
- Proactively identify opportunities to create intelligent systems
The role is based in Los Angeles, CA with office spaces also in Culver City, CA, San Francisco, CA, and Dallas, TX. The company offers a one-month work-from-anywhere policy annually.
Company culture emphasizes kindness (listening, healthy debate, respectful conflict resolution), brilliance (humility, growth mindset, ownership), and grit (focus on mission, nimbleness, adaptability).
Benefits include 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 program, and amenity-filled offices.
REQUIREMENTS:
- 4+ years of software engineering experience
- Proficiency in modern programming languages, 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 using AI-assisted development tools (e.g., Cursor, Claude Code)
- B.A./B.S. in Computer Science or equivalent experience
- Demonstrated ownership, superb communication, resilience, and creative problem-solving
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