Data Services Engineer

Role Description

In this role, you will be embedded with a single enterprise client, acting as a key technical partner in their data transformation journey. You'll gain deep knowledge of their business by collaborating closely to design efficient, accessible data models that unlock real business value. This role offers the unique opportunity to make a significant impact on a high-priority, strategic initiative.

You're passionate about clean data architecture, skilled at breaking down complex problems into manageable parts, and you appreciate the long-term value of scalable tooling and repeatable processes.

If you thrive in a fast-paced environment with autonomy, growth potential, and purpose-driven work, this role is for you.

What You’ll Do

• Engineer and optimize the ingestion of large volumes of data into cloud data warehouses
• Work directly with a single enterprise client to understand their business needs, data landscape, and roadblocks
• Design and build scalable data models that support the client's analytical and operational goals
• Drive improvements to internal workflows and tooling to increase efficiency and repeatability
• Serve as a thought partner for client stakeholders, guiding technical and strategic data decisions

Qualifications

• 2–5 years of experience as a Data Engineer or Analytics Engineer, with strong proficiency in SQL and Python
• Proven experience designing, building, and maintaining cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
• Hands-on experience with Google Cloud Platform (GCP), including core services such as BigQuery
• Strong data modeling skills, with the ability to design scalable, well-structured models for both analytical and operational use cases
• Experience working with BI and visualization tools (e.g., Looker, Tableau, Power BI, or similar)
• Solid understanding of relational databases and core data warehousing principles
• Strong analytical thinking and problem-solving abilities
• Self-starter who thrives in autonomous environments and takes ownership of outcomes
• Naturally curious, with a passion for learning and applying new tools and technologies

Requirements

• Experience with transformation and modeling tools such as dbt or Google Cloud Dataform
• Experience with workflow orchestration platforms like Airflow
• Exposure to machine learning workflows, including model development, training, deployment, or productionization
• Experience working with or within large enterprise organizations

Benefits

• Rewards: See your work engage some of the world’s most important brands, including Google, Priceline, and Costco.
• Spot bonuses for major milestones and product feature launches.
• Clear opportunities for career progression and cross-functional collaboration.
• Meaningful equity so you share in the value you help create.
• Flexible, Remote-First Work: Remote-first culture with team members and leaders across North America and beyond, with strong communities in New York, San Francisco, and Toronto.
• Flexible, goal-based work style.
• Flexible PTO with trust and autonomy.
• Monthly, company-wide Recharge Days to truly unplug.
• Annual home office stipend to support your workspace.
• Comprehensive Benefits: 100% company-paid medical coverage for individual employees with strong dependent contributions, including dental & vision coverage.
• Full health, dental, vision, life, and disability coverage for Canadian employees (fully employer-paid).
• 401(k) or RRSP (Canada) Program with Generous Company Match.
• Learn and Grow: Quarterly Hackathons to focus on team passion projects.
• Annual professional development stipend.
• Work directly with a world-class executive team.
• A learners’ mindset culture.