Software Engineer - Sales

Acutec Precision Aerospace Inc•Meadville, PA

13d

About The Position

This role builds, debugs, tests, and deploys planning applications using the Data Science Stack (Python, R, and SQL) and standard web technologies. The applications must meet customer and stakeholder design and technical specifications. The role supports SIOP and other cross-functional projects through software development, maintenance, documentation, testing, and management of company-critical applications, including the Demand Planning Monorepo. The Software Engineer works with Sales, Operations, Continuous Improvement, IT, Finance, and Supply Chain to understand data needs and provide actionable insights. The position also conducts statistical analysis and market research, develops dashboards and reports, and supports operational and strategic decision-making. Code should be clean, documented, testable, and maintainable, with configuration separated from execution logic and appropriate participation in code review and testing. The position requires a bachelor’s degree in management information systems, computer science, or a related field, or equivalent practical experience; at least two years of software development experience or an equivalent combination of education and experience; and a working understanding of demand planning, SIOP processes, and manufacturing data flows. The role is frequently performed in an office environment and rarely in a manufacturing environment. It involves extended periods of sitting and using office equipment and computers. The employee must follow company safety policies and hazardous-waste disposal procedures.

Requirements

Bachelor’s degree in management information systems, computer science, or a related field, or equivalent practical experience.
At least 2 years of software development experience, ideally with complex, UI-intensive applications, or an equivalent combination of education and experience.
Working understanding of company operations, especially demand planning, SIOP processes, and manufacturing data flows.
Working knowledge of the latest Visual Studio releases.
Intermediate-to-advanced Python proficiency, including data structures, object-oriented programming, modular application design, and package/dependency management.
Strong SQL skills, including writing and optimizing queries, joins, and aggregations against relational databases.
Experience with SQL Server or strong ability to ramp up quickly on it.
Familiarity with database connector libraries such as pymssql, pyodbc, or similar.
Working knowledge of Git and collaborative development workflows, including branching, pull requests, and code review.
Understanding of configuration-driven architecture, separating configuration and parameters from execution logic.
Ability to read, debug, and extend an existing modular codebase without a full rewrite.
Ability to translate ambiguous business rules into deterministic logic.
Understanding of basic statistical and forecasting concepts, including moving averages, weighted blending, and classification-based modeling.
Basic understanding of data validation and error handling in pipelines that feed business-critical outputs.
Ability to perform the essential duties satisfactorily, with reasonable accommodations available for individuals with disabilities.
Knowledge of company safety policies and procedures, and compliance with hazardous-waste disposal procedures.

Nice To Haves

Experience in manufacturing, supply chain, or aerospace/defense environments.
Familiarity with time-series forecasting or statistical modeling concepts.
Experience with pymssql or similar database connector libraries.
Exposure to SIOP/S&OP, demand planning, or inventory optimization concepts.
Experience building internal tools for non-technical business users.
Familiarity with Excel automation or export tools such as openpyxl and xlsxwriter.
Experience presenting technical work to non-technical stakeholders.
Familiarity with anomaly detection techniques or libraries.
Experience with current and emerging machine learning or AI integration technologies and techniques.

Responsibilities

Build, debug, test, and deploy applications that meet system analysis and customer requirements.
Perform statistical analyses, identify patterns, build basic analytical models, and write SQL queries.
Develop dashboards, charts, and recurring or ad hoc reports for business stakeholders.
Partner with Operations, Finance, Supply Chain, Sales, and other cross-functional teams to understand data needs and deliver actionable insights.
Conduct independent industry and market research and report on trends, potential disruptions, and growth opportunities.
Support ad hoc analyses that inform operational execution and strategic decision-making.
Use software design patterns when useful and appropriate, and stay current with web technologies and development platforms.
Develop, enhance, maintain, document, and test software systems supporting SIOP and cross-functional projects.
Collaborate across Sales, Operations, Continuous Improvement, and IT.
Manage company-critical applications, including the Demand Planning Monorepo.
Write clean, well-documented, testable code using configuration-driven architecture and separation of configuration from execution logic.
Participate in code review, testing, and documentation practices to keep systems maintainable as they scale.
Maintain professionalism when communicating with employees, suppliers, and customers through the listed communication channels and during supplier visits.
Follow company safety policies and procedures, including hazardous-waste disposal procedures.
Perform other duties as directed by the Supervisor.