Open to candidates across EMEA.
Aggregated from himalayas; the listing never states worldwide hiring, so the employer's own page must be checked before publishing.
Direct from the employer's own careers page
Who can apply
Read straight from the listing, so you know before you spend time on it.
Open to candidates across EMEA.
“Remote - EMEA. We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!”
Team of 400+ distributed across the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond.
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- $500 one-time home-office setup plus $150 per month via a Brex card.
- Annual retreat
- No company-paid get-togethers mentioned.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
As an Analytics Engineer at Alpaca, you will lead the architecture and execution of the company's data transformation layer on an open-source, GCP-based data platform processing hundreds of millions of events daily. Collaborating closely with Data Engineers, Data Scientists, and cross-functional business stakeholders, you will build and maintain scalable dbt models, optimize query performance across OLTP and OLAP systems, establish semantic layers, and ensure enterprise-grade data quality and discoverability.
What you'll do
- Design, build, and maintain scalable data models using dbt and SQL to support reporting and operational metrics.
- Establish and enforce technical standards and best practices for data modeling, testing, version control, and monitoring.
- Collaborate directly with finance, operations, customer success, and marketing teams to understand requirements and deliver reliable data products.
- Create repeatable integration patterns between data models, BI tools, and reverse ETL workflows.
- Champion robust CI/CD workflows, change management, code reviews, and data warehouse performance optimizations.
What you bring
- 4+ years of experience in analytics engineering or data engineering with deep focus on ELT transformations.
- Expert-level SQL and dbt skills alongside proficiency in Python for complex data transformations.
- Proven track record of end-to-end data product ownership and semantic layer modeling (e.g., Cube, dbt Semantic Layer).
- Hands-on experience with query optimization across OLTP and OLAP systems (e.g., Postgres, Iceberg) and cloud environments (GCP or AWS).
- Experience owning Git-based CI/CD workflows and standardizing code review practices.
About Alpaca
Alpaca is a global leader in agent-first brokerage infrastructure, offering institutional-grade APIs for trading stocks, crypto, options, and fixed income to financial institutions across 40 countries.
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