Data Engineer

Description SUMMARY: The Data Engineer at Hercules Industries is responsible for building, governing, and continuously improving the data foundation that powers decision-making across supply chain, operations, and commercial functions. This role serves as both a steward of data integrity and a builder of scalable data infrastructure, enabling accurate, connected, and actionable data across the organization. $90,000 - $107,000 per year, DOE. The Data Engineer directly supports advanced analytics, MRP optimization, and real-time decision-making, forming a critical component of Hercules’ transition to a modern, data‑centric enterprise.

PURPOSE

PURPOSE: Own the design, integrity, and performance of Hercules’ data ecosystem by establishing scalable architecture, governing data quality, and enabling accessible, reliable data that drives operational and strategic decision‑making across the business.

ESSENTIAL DUTIES AND RESPONSIBILITIES

DATA INTEGRITY, GOVERNANCE & STEWARDSHIP

Establish and enforce data governance standards across ERP, data warehouse, and connected systems Ensure accuracy, consistency, and reliability of core datasets (item master, lead times, safety stock, supplier and customer data) Identify and remediate data quality issues through structured audits and data initiatives Define ownership, workflows, and controls for maintaining high‑quality master data Implement monitoring systems to proactively detect and resolve data anomalies Performance Expectations Establish high trust in enterprise data Eliminate systemic data errors impacting operations Ensure consistent, governed data definitions

DATA ARCHITECTURE & SYSTEM INTEGRATION

Design and maintain scalable data architecture connecting ERP (Infor M3), data warehouse, CRM, and external systems Build and manage data pipelines (ETL/ELT) to ensure timely and accurate data availability Enable seamless data flow across systems to support real‑time and near‑real‑time decisions Standardize data models to support analytics and operational processes Performance Expectations Deliver reliable, scalable, and efficient data pipelines Reduce latency and manual intervention across systems Enable seamless system integration

MRP & OPERATIONAL SYSTEM ENABLEMENT

Ensure MRP and planning systems are supported by accurate and structured data Partner with supply chain and operations to optimize lead times, safety stock, and planning parameters Identify and resolve data issues driving inefficiencies in purchasing, production, and inventory Support the evolution of MRP into a proactive, optimized planning system Performance Expectations Improve effectiveness of MRP and planning systems Reduce operational inefficiencies caused by poor data Enable proactive planning capabilities

DATA ACCESSIBILITY & DECISION ENABLEMENT

Build data models that make data accessible for analysts, data scientists, and business leaders Develop datasets that enable rapid analysis and insight generation Support dashboards, reporting tools, and self‑service analytics capabilities Ensure key business metrics are consistently defined and trusted Performance Expectations Improve accessibility and usability of enterprise data Enable faster, more informed decision‑making Establish consistency in key business metrics

CROSS-FUNCTIONAL COLLABORATION

Partner with Data Science to provide clean, structured datasets for modeling Translate business requirements into data architecture solutions Work with supply chain, operations, and finance leaders to prioritize data needs Serve as a bridge between technical systems and business application Performance Expectations Build strong cross‑functional relationships Align data solutions with business needs Influence adoption of data‑driven practices

TRANSFORMATION & CONTINUOUS IMPROVEMENT

Lead initiatives to modernize data infrastructure and capabilities Identify opportunities to automate manual processes and eliminate workarounds Drive transition toward a fully integrated, data‑driven operating model Establish best practices for data engineering within the organization Performance Expectations Drive measurable improvements in efficiency and data reliability Reduce reliance on manual processes and spreadsheets Contribute to long‑term digital transformation

KEY PERFORMANCE FOCUS AREAS

Data accuracy, integrity, and reliability across systems System integration and data pipeline performance MRP and planning system effectiveness Accessibility and usability of data for decision‑making Reduction of manual processes and data issues Business impact including inventory, service levels, and operational efficiency

WHAT SUCCESS LOOKS LIKE

Measurable business impact across supply chain, operations, and commercial performance Data‑driven decision‑making becomes embedded in daily operations Strong adoption of models and insights across the organization Continuous pipeline of high‑value analytical initiatives Recognized as a key contributor to enterprise transformation

QUALIFICATIONS, EDUCATION, AND/OR EXPERIENCE

Bachelor’s degree preferred (Data Engineering, Computer Science, Information Systems, or related field) Experience with data architecture, data pipelines, and system integration Experience working with ERP systems, data warehouses, and analytics platforms Strong understanding of data governance, data quality, and master data management Experience supporting supply chain, operations, or business analytics environments preferred Proficiency in data tools, SQL, and data modeling concepts Strong analytical and problem‑solving skills Ability to translate business needs into technical solutions Experience working cross‑functionally in a fast‑paced environment

SKILLS

Language skills: Ability to effectively communicate with customers and staff to make an accurate assessment of customer needs. Mathematical skills: Ability to perform basic mathematical calculations required to accurately complete assigned tasks. Computer skills: Intermediate/Advanced computer skills, including Microsoft Office and ability to learn any additional software needed to perform job duties. Reasoning ability: Ability to interpret a variety of instructions furnished in oral or written form, use sound judgment and problem‑solving skills. Attendance demands: Attendance required Monday‑Friday 8:00 A.M. to 5:00 P.M. or within normal business hours. Overtime, occasional Saturdays and Sundays may be required. Physical demands: Regularly required to sit; walk and stand; use hands, handle, or feel; speak, read, and hear English. Occasionally required to lift up to 50 pounds. Vision required to adjust focus. Work environment: Moderate noise level, occasional exposure to extreme weather conditions; fast‑paced environment.

EEO STATEMENT

Hercules Industries is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as a qualified individual with disability, or other legally protected status. Equal Opportunity Employer. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. #J-18808-Ljbffr Hercules Industries, Inc.