Business Process System Engineer

Responsibilities

• Design and implement scalable data pipelines using Databricks (MLflow, PySpark, Delta Lake) within an AWS environment
• Develop and optimize ELT/ETL workflows integrating data from data warehouses, data lakes (Amazon S3), APIs, and enterprise financial systems
• Build, train, deploy, and monitor machine learning models, supporting both traditional ML and generative AI solutions within federal cloud environments
• Translate requirements from diverse stakeholders—including system owners, process owners, and end users—into actionable reporting requests
• Support a diverse BI toolkit including Excel, Python, SharePoint, Tableau Prep, Tableau Server, and Tableau Desktop
• Assist in training new team members in data management, analytics, ETL pipelines, and data linking

Requirements

• Bachelor's degree in a quantitative discipline (e.g., Computer Science, Computer Engineering, Business Information Systems, or Management Information Systems)
• Minimum of 5 years of quantitative analysis and problem-solving experience
• Proficiency in Excel, Python, and Tableau
• U.S. Citizenship is required
• Ability to translate complex stakeholder requirements into technical data solutions

Preferred Qualifications

• Active Secret Clearance
• Experience designing and developing AI/ML solutions, including CI/CD implementation for data workflows and Data Systems architecture
• Experience in Federal Government, Financial Systems, or Planning/Programming/Budgeting/Execution (PPBE)
• Strong understanding of government financial data, including KPIs, financial ratios, and business intelligence metrics

About the Company

Technomics is a growing employee-owned, decision analytics company that specializes in cost and economic analysis to facilitate better decisions faster. We enable clients across the Federal government to choose smartly, buy effectively, and operate efficiently by applying data-driven and analytics-based approaches.