Data Engineer

• Design, build, and maintain internal tooling that supports team data workflows and reduces manual effort
• Own and improve GitHub CI/CD pipelines to support reliable, repeatable deployments
• Develop and manage automated Databricks job orchestration and workflow scheduling
• Collaborate with data engineers to support pipeline development on an as-needed basis
• Write clear documentation for tooling, processes, and automation solutions
• Support Repo management - participate in code reviews, uphold software quality standards, and contribute to team engineering practices
• Develop or consume REST APIs to connect internal systems or trigger automated workflows

We are seeking a motivated early-career Software Engineer (2+ years of experience) with a Computer Science background to join our team as a long-term contributor. You will work alongside experienced vehicle data engineers and analysts to build internal tooling, automate job orchestration, and maintain CI/CD pipelines - enabling the team to move faster and focus on higher-order analysis work. This is a heads-down engineering role with a meaningful impact on the team’s overall productivity. The right candidate will be technically sharp, self-directed, and eager to learn the large-scale data domain and product application over time., * Python: primary development language for tooling, automation, and scripting

• GitHub / Git: branching strategies, pull request workflows, GitHub Actions, and CI/CD pipeline management
• Databricks, Snowflake, or Equivalent: notebooks, jobs, Workflows for job orchestration and scheduling
• SQL: querying and transforming structured data; basic ETL/data engineering concepts
• Workflow Orchestration: understanding of dependency management, scheduling, and pipeline patterns
• VS Code: modern IDE proficiency including extensions, debugging, and integrated terminal workflows, and GitHub Copilot integration.

Nice to Have Experience

• REST APIs: experience building or consuming RESTful APIs in Python (e.g., FastAPI, Flask, requests)
• Databricks Asset Bundles: or equivalent infrastructure-as-code approaches for Databricks resource management
• Docker / Containers: basic containerization concepts for reproducible environments
• Delta Lake / Parquet: familiarity with columnar and transactional data formats used in lakehouse architectures
• Off-Road / Telematics: any exposure to vehicle data, CAN bus, or telematics systems is a strong plus

Soft Skills & Competencies

• Collaborative team player who thrives in a cross-disciplinary environment alongside domain experts
• Strong written communication skills - ability to produce clear documentation and process notes
• Process-oriented mindset with attention to detail; comfortable working within V&V and quality frameworks
• Fast learner with the intellectual curiosity to pick up off-road vehicle and telematics domain knowledge
• Self-directed and comfortable working heads-down on complex technical problems with limited hand-holding
• Dependable and consistent; takes ownership of deliverables and communicates proactively on blockers, * 2+ years of professional software development experience, including internships or co-op roles
• Bachelor’s degree in Computer science, Software Engineering, or a closely related field (or equivalent practical experience)
• Demonstrated ability to write clean, maintainable Python code
• Experience working in a collaborative Git-based development workflow
• Experience with Identifying business needs and developing recommendations and solutions