Analytics Engineer

Alpaca; Toronto; Remote; CAD 125,000 - 168,000; Full time

Job summary

A financial technology company is seeking an Analytics Engineer to design and maintain scalable data models using dbt and SQL. The role involves collaborating with finance and operations teams to deliver reliable data products and requires 3+ years of relevant experience. Competitive salary, stock options, and health benefits are provided. This is a fully remote position based in Toronto, Ontario.

Benefits

Competitive Salary & Stock Options

Health Benefits

Home-Office Setup Grant

Monthly Stipend

Qualifications

• 3+ years of experience in data analytics or data engineering focusing on transformation.
• High fluency in SQL for complex queries and data manipulation.
• Understanding of data modeling and engineering best practices.

Responsibilities

• Design and maintain scalable data models using dbt and SQL.
• Establish best practices for data modeling and monitoring.
• Collaborate with various teams to deliver data products.

Skills

SQL proficiency

Data modeling

Data transformation principles

Problem-solving

Tools

dbt

Airflow

Airbyte

Job description

Overview

Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24 / 5 trading, and more. Our recent Series C funding round brought our total investment to over $170 million, fueling our ambitious vision.

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 6 million brokerage accounts.

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We\'re deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.

Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.

Our Team Members :

We\'re a dynamic team of 230+ 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!

We\'re searching for passionate individuals eager to contribute to Alpaca\'s rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role

We are seeking an Analytics Engineer to own and execute the vision for our data transformation layer. You will be at the heart of our data platform, which processes hundreds of millions of events daily from a wide array of sources, including transactional databases, API logs, CRMs, payment systems, and marketing platforms.

You will join our 100% remote team and work closely with Data Engineers (who manage data ingestion) and Data Scientists and Business Users (who consume your data models). Your primary responsibility will be to use dbt and Trino on our GCP-based, open-source data infrastructure to build robust, scalable data models. These models are critical for stakeholders across the company—from finance and operations to the executive team—and are delivered via BI tools, reports, and reverse ETL systems.

Our team is 100% distributed and remote.

Responsibilities

• 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.

Must-Haves

• Core Experience : 3+ years of experience in data analytics or data engineering with a strong focus on the "T" (transformation) in ELT.
• Expert SQL Skills : High fluency in SQL for complex queries and data manipulation on large datasets.
• Analytics Engineering Fundamentals : Deep understanding of data modeling, transformation principles, and data engineering best practices (e.g., source control, code reviews, testing).
• dbt Experience : Proven experience building scalable transformation layers using formalized SQL modeling tools, preferably dbt.
• Technical Versatility :
• Work Ethic : Comfortable with ambiguity, able to take ownership with minimal oversight, and adaptable in a fast-paced environment.

Nice to Haves

• Experience with data ingestion tools (e.g., Airbyte) and orchestration tools (e.g., Airflow).
• Experiences with Semantic Layer modelling (e.g. Cube, dbt Semantic Layer).

How We Take Care of You

• 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

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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