Role Overview:

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 about the large-scale data domain and product application over time.

Key Responsibilities:

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

Technical Skills:

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:

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

Experience & Education Required:

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

Pay:

$40.00 - $45.00 per hour Expected hours: 40.0 per week

Benefits:

Dental insurance Health insurance Paid time off Vision insurance

Education:

Bachelor's (Required)

Experience:

Python:

2 years (Required)

GitHub:

2 years (Required)

SQL:

2 years (Required)

Work Location:

On the road