Python Developer

Role: Systems Analyst (Applications/Software Development)

Location: Austin, TX (Hybrid: 4–5 days/week on-site at 6230 E. Stassney Lane, Austin, TX 78744)

Duration: 12 Months (1st & 2nd renewal options available)

Position Summary

This hybrid role combines traditional systems analysis with hands-on scripting, process automation, and AI integration. You will collaborate with business units to optimize operational procedures, perform cost/benefit analyses, and build automated prototypes for engineering-related software services (model ingestion, quantity extraction, plan conformance, and CI/CD automation).

Key Responsibilities

Business Analysis & Requirements: Partner with business units to analyze operational procedures, identify problems, perform feasibility and cost/benefit analyses, and draft detailed user requirement specifications.

Automation & AI Integration: Develop Python scripts and Bash tools to automate processes, prototype solutions, and integrate pre-built AI/ML models or APIs.

System Review & Testing: Evaluate system capabilities and constraints against TxDOT standards; assist in rapid development, testing, and validation of software solutions.

Documentation & Collaboration: Document user needs, program logic, and workflows; collaborate with cross-functional technical teams and business stakeholders.

Required Qualifications

Experience: 1–3 years of professional experience as a Systems Analyst, Technical Business Analyst, or Software/Automation Developer.

Education: Bachelor’s degree (or higher) in Computer Science, Computer Information Systems, Data Science, or Artificial Intelligence.

Core Technical Skills:

Languages & Scripting: Python (data processing & automation) and Bash (system automation).

AI/ML: Foundational knowledge of AI concepts and experience applying pre-built models or APIs.

SDLC & Version Control: Git, agile/rapid prototyping, and CI/CD pipelines.

Analytical & Communication: Proven ability to translate business objectives into functional tech solutions; strong documentation and verbal communication skills.

Preferred Qualifications

Experience with cloud platforms (AWS or Azure).

Hands-on knowledge of Docker / containerization.

Familiarity with API development and data integration.