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Software Data Engineer

Kyyba, Inc.
Email

Title : Software Data Engineer

Location : Fuquay-Varina, NC 27526 - 100% Onsite role

Duration : 24+ Months Contract (Possible extension depending on performance & client needs)

Shift Timings : 1st Shift 7:00 AM - 4:00 PM EST

Pay Range: $40.00 - $45.00/hr. on w2

 

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