Senior Analytics Engineer
Description For Senior Analytics Engineer
Alpaca is a fast-growing series B fintech company that's raised over $120 million in funding. We are an API-first stock and crypto platform that enables developers and businesses across the world to build trading algorithms, applications, and brokerage services.
We are looking for a Senior Analytics Engineer to lead the vision for the transformation layer of our data platform. This platform integrates data from transactional databases backing core Alpaca applications, API logs, CRMs, payment systems, and marketing platforms. We process hundreds of millions of events daily, a number that is rapidly growing as we onboard new customers.
We prioritize open-source solutions and use Google Cloud Platform (GCP) as the foundation of our data infrastructure. Our transformation layer, powered by dbt running through the Trino query engine, builds data models that are delivered to end users via BI tools, reports, and reverse ETL. Our stakeholders range from finance to operations, customer success, and the executive team, necessitating varying data availability (from monthly to near-real-time) and integrity (up to cent-level precision).
You will be working alongside our Data Engineers who drive the ingress of the data and the infrastructure of the Lakehouse and related services, and Data Scientists who consume the data models and augment them with new features.
Our team is 100% distributed and remote, with team members based in the USA, Canada, Hungary, Japan, Brazil, Spain, Philippines, Nigeria, UK, and more. We love candidates who have a passion for making a global difference in financial services and technology, by impacting local communities and becoming a part of our hyper-growth company.
If you're passionate about analytics engineering and thrive in a dynamic startup environment, we'd love to hear from you!
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Responsibilities For Senior Analytics Engineer
- Develop scalable patterns in the transformation layer to support consistent BI tools integration across business verticals.
- Ensure data discoverability and maintain high standards of change management, including model testing and data monitoring, as Alpaca's products evolve.
- Seamlessly integrate the Lakehouse with BI tooling to create repeatable ways of surfacing metrics to end users.
- Set a high standard for development practices, ensuring quality in new data models and their orchestration.
- Collaborate closely with finance, operations, customer success, and marketing teams to meet data modeling needs.
Requirements For Senior Analytics Engineer
- 3+ years of experience in data engineering or data analytics, focusing on the transformation component of the ELT process.
- Experience building scalable transformation layers, preferably through formalized SQL models (e.g., dbt).
- Experience in Python for transformations beyond SQL.
- Experience with CI/CD and code version control.
- Strong hands-on experience with relational databases (e.g., Postgres, Iceberg), including query optimization.
- Ability to adapt quickly in a fast-paced environment and tailor solutions to evolving business needs.
- Experience with ETL technologies for ingestion (e.g., Airbyte) and orchestration (e.g., Airflow).
- Experience working in a cloud environment (AWS or GCP).
Benefits For Senior Analytics Engineer
- Competitive Salary & Stock Options
- Health benefits start on day 1. In the US this includes Medical, Dental, Vision. In Canada, this includes supplemental health care. Internationally, this includes a stipend value to offset medical costs.
- New Hire Home-Office Setup: One-time USD $500
- Monthly Stipend: USD $150 per month via a Brex Card
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