Scout Motors is looking for a Staff Data Engineer to drive the evolution of our data architecture. This role is responsible for architecting scalable, cost-efficient platforms, eliminating operational fragility, and establishing engineering standards across the data organization.

What You'll Do

Architect and evolve scalable, cost-efficient data platforms for real-time and batch analytics.
Own data systems end-to-end — ingestion, streaming, transformation, storage, and serving.
Design and implement distributed data processing systems using Spark and Databricks on AWS.
Build and optimize pipelines using Airflow and modern orchestration frameworks.
Define and enforce engineering standards for CI/CD, infrastructure-as-code, testing, and observability.
Establish clear ingestion and integration boundaries that eliminate single points of failure.
Proactively surface risks, dependencies, and tradeoffs before they impact delivery.
Produce clear technical artifacts and recommendations for stakeholders and leadership.
Design logical and physical data models balancing flexibility, performance, governance, and scalability.
Partner closely with Analytics Engineering, Data Science, ML Engineering, and Data Analytics to support high-quality silver/gold modeling.
Harden pipelines with monitoring, alerting, SLAs, and recovery mechanisms.
Mentor engineers and elevate distributed systems rigor across the team.

What We're Looking For

8+ years designing and operating high-volume distributed data systems in production.
Deep expertise with a cloud data platform (Databricks preferred) and AWS, including performance tuning and cost optimization.
Strong proficiency in Python, SQL, and Spark for large-scale processing.
Hands-on experience with dbt and understanding of how platform decisions impact downstream modeling.
Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization.
Experience with Airflow.
Experience with modern CI/CD practices (GitHub Actions, Terraform).
Experience designing and maintaining real-time streaming architectures.
Demonstrated ability to independently scope ambiguous problems and drive them to decisive outcomes.
Track record of proactively escalating risks and closing long-running efforts with clear recommendations.
Experience defining ingestion validation standards and implementing data quality controls.
Proven ability to reduce operational fragility and eliminate single points of failure.
Strong systems design skills across distributed and event-based architectures.
Demonstrated technical leadership influencing cross-team architectural decisions.
Excellent communication skills across engineering, analytics, product, and executive stakeholders.
BS in Computer Science, Engineering, Mathematics, or equivalent experience.

Technical Stack

Spark, Databricks, AWS
Python, SQL, dbt
Airflow, GitHub Actions, Terraform

Team & Environment

You will join a 500+ person remote-first company as part of the Data & Analytics team, which is building the next generation of the data platform.

Benefits & Compensation

Medical, dental, vision, life and disability insurance plans (100% paid for US employees). Supplemental plans for Canadian employees.
401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
Employee Assistance Program (EAP) for mental wellness.
Flexible PTO and 12 company-wide days off throughout the year.
Learning & Development programs.
Equipment, tools, and reimbursement support for a productive remote environment.
Free Life360 Platinum Membership for your preferred circle.
Compensation: US: $190,000 to $280,500 USD; Canada: $220,000 to $260,000 CAD + equity.

Work Mode

This is a remote position open to candidates in the USA or Canada.

We are an equal opportunity employer and value diversity at Scout Motors. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.