Software Data Engineer

This early-career Software Data Engineer role focuses on building internal tooling, automating job orchestration, and maintaining CI/CD pipelines. You will work alongside vehicle data engineers and analysts in a heads-down engineering environment where improvements directly support team productivity.

Location and Employment Details

• Location: Fuquay-Varina, NC (onsite)
• Salary: USD 40 - 45 per hour
• Experience: 2+ years
• Work location: On the road

Core 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 as needed
• Write clear documentation for tooling, processes, and automation solutions
• Support repo management, including participation in code reviews, maintaining software quality standards, and contributing to engineering practices
• Develop or consume REST APIs to connect internal systems or trigger automated workflows

Required Qualifications

• 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
• Ability to identify business needs and develop recommendations and solutions
• Python: 2 years (Required)
• GitHub: 2 years (Required)
• SQL: 2 years (Required)

Technical Skills

• Python: primary 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, and workflows for orchestration and scheduling
• SQL: querying and transforming structured data, with foundational ETL/data engineering concepts
• Workflow orchestration: dependency management, scheduling, and pipeline patterns
• VS Code: proficiency with extensions, debugging, integrated terminal workflows, and GitHub Copilot integration

Technologies

• Python, GitHub, Git
• GitHub Actions, CI/CD
• Databricks, Snowflake
• SQL
• Workflow orchestration
• VS Code, GitHub Copilot
• REST APIs
• FastAPI, Flask, requests
• Databricks Asset Bundles
• Docker, containers
• Delta Lake, Parquet
• CAN bus, telematics

Nice to Have

• REST APIs: experience building or consuming RESTful APIs in Python (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: exposure to vehicle data, CAN bus, or telematics systems

Benefits

• Dental insurance
• Health insurance
• Paid time off
• Vision insurance