Embedded Software Engineer

Aditi Consulting; Fuquay-Varina (NC); On-site; USD 55,000 - 74,000; Full time

Job summary

Aditi Consulting is seeking a software-oriented Data & AI tooling engineer to design, build, and maintain internal tooling supporting data workflows and automation. You will enhance GitHub CI/CD pipelines and manage Databricks job orchestration to ensure reliable deployments and scalable data processing.

You will collaborate with data engineers, document tooling processes, and participate in code reviews while contributing to team engineering practices and API integrations.

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
• Experience with identifying business needs and developing recommendations and solutions

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

Skills

Python

GitHub / Git

Databricks

SQL

REST APIs

Docker

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

FastAPI / Flask

VS Code

GitHub Actions

Parquet / Delta Lake

Docker

Job description

Payrate: $46.67 - $46.67/hr.

Summary

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.

• 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

Payrate: $46.67 - $46.67/hr.

Summary

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.

• 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

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
• Experience with identifying business needs and developing recommendations and solutions

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
• 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

Pay Transparency

The typical base pay for this role across the U.S. is:$46.67 - $46.67/hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.