Software Data Engineer

Kyyba Inc; Fuquay-Varina (NC); On-site; USD 114,616,000 - 128,943,000; Full time

Benefits offered by this job

Dental insurance

Health insurance

Paid time off

Vision insurance

Job summary

Kyyba Inc is seeking an early-career Software Data Engineer in Fuquay-Varina, NC to build internal tooling, automate job orchestration, and maintain CI/CD pipelines. You will work with vehicle data engineers and analysts in a heads-down environment where improvements boost team productivity.

Responsibilities include designing tooling, owning GitHub CI/CD pipelines, developing Databricks orchestration, and creating clear documentation. Onsite role with strong growth potential.

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)

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 code reviews and maintaining software quality standards.

Skills

Python

GitHub

SQL

Git-based workflow

Education

Bachelor’s degree in Computer Science / Software Engineering

Tools

Databricks

Snowflake

VS Code

Docker

FastAPI

Job description

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