Join our team as a Business Intelligence Software Engineer and help design, build, and maintain innovative reporting and data-driven applications that power field operations, business units, and customer solutions. This is a hands-on coding role that requires strong technical judgment and collaboration with cross-functional teams. You’ll manage the entire development lifecycle, ensuring solutions are scalable, reliable, and aligned with business priorities. Key Responsibilities: Lead the Software Development Lifecycle (SDLC): Oversee all phases of BI application development, from concept through deployment and support. Hands-on Development: Build and maintain applications using Python (PySpark), SQL, and TypeScript/JavaScript. Technical Strategy & Architecture: Apply best practices for design, performance, and scalability. Quality Assurance: Establish testing frameworks, conduct code reviews, and maintain bug-tracking processes. Continuous Improvement: Identify and implement tools and methodologies to streamline development and increase system reliability. Collaboration: Work with internal stakeholders, data scientists, analysts, and operations teams to translate business needs into software solutions. Support & Maintenance: Provide ongoing support for newly developed applications, ensuring smooth integration with existing systems.

Qualifications: Education & Experience: Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, or related field (advanced degree preferred). 3–5+ years of hands-on software development experience (entry level candidates with strong technical foundations and 1+ years experience in platforms like Palantir Foundry will be considered). Demonstrated experience in Agile software development methodologies with a track record of successful end-to-end project delivery. Experience with utility or asset-related technology platforms is strongly preferred. Technical Skills: Proficiency in Python (PySpark), SQL, and TypeScript/JavaScript. Familiarity with other programming languages such as Java or C++ is a plus. Experience with data engineering, analytics, and business intelligence development. Understanding of modern SDLC practices, version control, CI/CD, and cloud-based data solutions. Core Competencies: Excellent problem-solving and decision-making skills. Strong communication skills; ability to collaborate with both technical and non-technical stakeholders. Ability to manage time and priorities to deliver under deadlines. Positive and proactive approach with a willingness to learn new technologies.

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