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Data Engineer
Hercules Industries, Inc.
- Denver, Colorado, United States
- Denver, Colorado, United States
Über
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.
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Sprachkenntnisse
- English
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