Python Data Application Developer

We are looking for a Software Application Developer/Analyst to support network infrastructure planning and reporting. The role involves querying large enterprise databases, building data pipelines, producing interactive web-based reports, maintaining and advancing Smartsheet workflows, and documenting business processes. You will work alongside a small team and an AI assistant (Claude) to accelerate delivery.

Responsibilities

Write and maintain Python scripts for data extraction, transformation, and matching across multiple enterprise data sources

Query Oracle, Teradata, and Google BigQuery databases to pull, reconcile, and validate large datasets

Build and maintain interactive HTML reports and internal web tools (Flask-based) with sortable/filterable tables

Develop and maintain Smartsheet sheets, dashboards, automations, and cross-sheet formulas

Design and document business process flows — intake-to-delivery workflows, data lineage diagrams, and decision trees using tools such as Visio, Lucidchart, or equivalent

Support ad-hoc data investigations — identify mismatches, gaps, and anomalies across systems

Must-Have Skills

Python (intermediate+): pandas, database connectors, data processing scripts — 2+ years

Smartsheet: sheet building, cross-sheet formulas, dashboards, and automations — 2+ years

SQL (intermediate+): comfortable across Oracle, Teradata, or BigQuery; understands joins, aggregations, NULL handling — 3+ years

Process Analyst / Python Developer — Contract[strong style="font-size: 10pt;"]s documentation: ability to translate complex multi-system workflows into clear process flow diagrams and written procedures — 2+ years

HTML/JavaScript: able to read, edit, and extend existing report templates (DataTables, basic JS) — 2+ years

Creative problem solving: able to take an ambiguous business question and propose a practical, well-designed solution — not just execute instructions

Desired Skills

Familiarity with BPMN or structured process notation

Experience with large-scale enterprise data (telecom, utilities, logistics, or similar)

Google BigQuery / GCP familiarity

Experience working alongside AI coding tools (GitHub Copilot, Claude, etc.)

Education & Certifications

Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field — or equivalent work experience

Smartsheet certification a plus