Technology

Software Data Engineer (No visa sponsorship available) - On W2

Kyyba IncFuquay-Varina, NC🇺🇸United StatesPosted Sep 21, 2026

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

Fuquay-Varina, NC, United States

Posted

20 hours ago

DockerFastAPIFlaskSQLETLSnowflakeDatabricksGitGitHub ActionsPythonREST

Job Description

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