Data Engineer
$90k - $107kHercules Industries
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: 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 include the following. Other duties may be assigned.
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
- 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
- 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
- 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
- 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
- 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
- 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
Performance in this role is measured through contribution to:- 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
- 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
- Opportunity to make a material impact; your work will matter
- Work in a company that is actively transforming and investing in data and analytics
- Employee-owned (ESOP), aligning effort with long-term value creation
- Right-sized organization: large enough for complexity, small enough for visibility and impact
- A culture that values curiosity, problem-solving, and continuous improvement
- The noise level in the work environment is usually moderate but may be loud on occasion.
- This position may on occasion be exposed to extreme weather conditions that may affect a warehouse environment.
- This is a fast-paced environment.
$100k
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