Senior Analytics Engineer

🕒 December 19, 2025

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Alpaca

WebsiteLinkedInAll Job Openings

201 - 500 employees

🔌 API

💳 Fintech

₿ Crypto

API • Fintech • Crypto

Alpaca is a fintech company that provides a comprehensive brokerage and trading platform through a suite of APIs. These APIs enable developers and businesses to integrate algorithmic trading, app development, and embedded investing into their services. Alpaca offers services like trading in US stocks, ETFs, and cryptocurrency with options for local currency transactions. The company is recognized for its cyber security practices and is a member of FINRA and SIPC. Alpaca is ideal for fintech startups, broker-dealers, hedge funds, and other financial services looking to build sophisticated trading applications and platforms with minimal friction through their well-documented Broker API.

📋 Description

• Own the Transformation Layer: Design, build, and maintain scalable data models using dbt and SQL to support diverse business needs, from monthly financial reporting to near-real-time operational metrics. • Set Technical Standards: Establish and enforce best practices for data modelling, development, testing, and monitoring to ensure data quality, integrity (up to cent-level precision), and discoverability. • Enable Stakeholders: Collaborate directly with finance, operations, customer success, and marketing teams to understand their requirements and deliver reliable data products. • Integrate and Deliver: Create repeatable patterns for integrating our data models with BI tools and reverse ETL processes, enabling consistent metric reporting across the business. • Ensure Quality: Champion high standards for development, including robust change management, source control, code reviews, and data monitoring as our products and data evolve.

🎯 Requirements

• 4+ years of experience in analytics engineering or data engineering with a strong focus on the "T" (transformation) in ELT. • Proven track record of owning data products end-to-end, applying analytics and data engineering best practices to ensure data quality, scalability, and robust data models. • Comfortable working with ambiguity and collaborating with stakeholders to define requirements; able to take ownership with minimal oversight in a fast-paced environment. • Experience proactively identifying and implementing improvements to data warehouse performance and ETL efficiency. • Technical Versatility: • Expert-level SQL and DBT skills for complex queries and data transformations. • Proficiency in Python for transformations that extend beyond SQL. • Hands-on experience with query optimization across OLTP and OLAP systems (e.g., Postgres, Iceberg). • Proficiency with Semantic Layer modelling (e.g. Cube, dbt Semantic Layer). • Experience owning CI/CD workflows and establishing team-wide standards for version control and code review (e.g., Git). • Familiarity with cloud environments (GCP or AWS).

🏖️ Benefits

• Competitive Salary & Stock Options • Health Benefits • New Hire Home-Office Setup: One-time USD $500 • Monthly Stipend: USD $150 per month via a Brex Card