Software - Data Engineer

Kelly•Fuquay-Varina, NC

1d•Onsite

About The Position

Our Data & AI team sits at the intersection of off-road vehicle engineering and advanced analytics. We have deep expertise in mechanical systems, telematics, CAN communication protocols, vehicle data offboarding, and big data processing. We use that domain knowledge to deliver high-quality data analysis and insights to engineering and program stakeholders. Our processes are grounded in rigorous Verification & Validation (V&V) disciplines to deliver high-quality data. We develop Agentic AI solutions that provide increased efficiency and flexibility to our stakeholders and internal team processes. As our team grows, we are looking to strengthen our software engineering capabilities to scale our tooling, automate workflows, and enhance our development practices. 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.

Requirements

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.
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

Nice To Haves

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
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

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