Alpaca

Senior Analytics Engineer

Alpaca

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSCloudETLGoogle Cloud PlatformPostgresPythonSQL

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLdbtPythondata modelingETLquery optimizationOLTPOLAPCI/CDversion control
Soft skills
collaborationownershipproblem-solvingadaptabilitycommunicationstakeholder engagementattention to detailfast-paced environmentchange managementdata quality assurance