Business Intelligence Software Engineer

Business Intelligence Software Engineer Summary

We are seeking a Business Intelligence (BI) Software Engineer to design, build, and maintain innovative reporting and data-driven applications that power our field operations, business units, and customer solutions. This role is highly hands‑on in coding while also requiring strong technical judgment and collaboration with cross‑functional teams. You’ll own the full development lifecycle, from concept to deployment and ongoing support, ensuring solutions are scalable, reliable, and aligned with business needs.

• Software Development Lifecycle (SDLC):
  Lead all stages of the BI application development process, including design, build, test, deployment, and support.
• Hands‑on Development:
  Build and maintain applications primarily using Python (PySpark), SQL, and Type Script/JavaScript.
• Technical Strategy & Architecture:
  Apply best practices for application design, performance optimization, and scalability.
• Quality Assurance:
  Establish testing frameworks, conduct code reviews, and manage bug‑tracking processes to maintain high code quality.
• Continuous Improvement:
  Identify and implement modern tools, technologies, and methodologies that increase productivity and system reliability.
• Collaboration:
  
  Partner with internal business stakeholders, data scientists, analysts, and operations teams to translate business needs into software solutions.
• Support & Maintenance:
  Provide ongoing support for newly developed applications while ensuring smooth integration with existing systems.

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, or related field (advanced degree preferred but not required).
• 3–5+ years of hands‑on software development experience (junior candidates with strong technical foundations and 1+ years on platforms like Palantir Foundry will also be considered).
• Proven track record in Agile software development methodologies and end‑to‑end project delivery.
• Experience working with utility or asset‑related technology platforms strongly preferred.

• Strong proficiency in Python (PySpark), SQL, and Type Script/JavaScript.
• Familiarity with other programming languages such as Java or C++ is a plus.
• Experience with data engineering, analytics, and business intelligence development.
• Knowledge of modern SDLC practices, version control, CI/CD, and cloud‑based data solutions.

• Excellent problem‑solving and decision‑making skills.
• Strong communication and ability to collaborate with technical and non‑technical stakeholders.
• Demonstrated ability to manage time, prioritize effectively, and deliver under deadlines.
• Positive, proactive approach with an eagerness to learn and adopt new technologies.