Data Engineer

• • Design, build, and maintain scalable ETL/ELT data pipelines from Eclipse/Epicor, Salesforce, Workday, and other source systems into the governed data platform
• • Develop and maintain Bronze/Silver/Gold data models and schemas
• • Establish a single source of truth and eliminate redundant business logic
• • Lead the technical build-out of the data platform supporting the Google Cloud migration
• • Retire shadow data paths and truncate-and-reload patterns in favor of governed, auditable processes
• • Leverage AI coding tools such as Claude Code to optimize pipeline code and accelerate development
• • Evaluate and champion effective AI-assisted engineering practices across the data platform team
• • Engineer governance, validation, and error handling into pipeline design
• • Monitor pipeline health and proactively resolve data integrity issues
• • Provide indirect leadership, coaching, and code-review guidance to SQL Developers
• • Set standards and best practices for SQL development and pipeline design
• • Partner with the DBA, BI Developer(s), and business stakeholders to translate requirements into technical designs
• • Maintain technical documentation of data flows, transformations, and architecture
• • Ensure pipelines adhere to data handling, access control, and security standards across all four ERP instances

• Bachelor’s Degree in Computer Science, Information Systems, or related field, or equivalent practical experience
• 5-7+ years of experience in data engineering, ETL development, or database development
• Experience supporting multi-entity or multi-ERP environments a plus
• Strong hands-on expertise in SQL and relational database systems
• Working knowledge of No
  
  SQL a plus
• Experience building and maintaining ETL/ELT pipelines using tools such as SSIS, Azure Data Factory, or equivalent
• Experience with cloud data platforms (Google Cloud, Azure, or AWS);
  Google Cloud experience strongly preferred
• Solid understanding of data modeling concepts, including medallion (Bronze/Silver/Gold) or similar layered architectures
• Scripting/programming experience (Python or similar) for automation and data transformation a plus
• Experience with ERP systems (Eclipse/Epicor) a plus
• Demonstrated ability to mentor and guide less-experienced developers
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Hands-on AI experience a plus
• Willingness to learn and apply AI coding tools (e.g., Claude Code)
• Frequent sitting, standing, and occasional walking
• Occasional reaching, twisting, and bending
• Extensive use of phone, computer, and keyboard
• Close vision with clear vision at 20 inches or less
• Color vision with ability to identify and distinguish colors
• May be required to work more than 40 hours per week
• Candidates are subject to pre-employment assessments, Motor Vehicle Record review, criminal background checks, reference checks, and a post-offer drug screen

Demonstrates expertise in designing and maintaining scalable ETL/ELT data pipelines, with a strong focus on SQL development, data modeling, and cloud data platforms, particularly Google Cloud. Proven ability to lead technical initiatives, mentor developers, and implement best practices in data governance and integrity.

• ETL/ELT Pipeline Development
• SQL Expertise
• Google Cloud Experience
• Data Modeling Concepts
• AI Coding Tools Utilization

• ETL Development
• SQL
• Data Modeling
• Python
• No
  
  SQL
• Data Transformation
• Data Governance
• Data Integrity
• Cloud Data Platforms
• Database Development

• Analytical Skills
• Problem-Solving Skills
• Mentoring
• Communication Skills

• Bachelor’s Degree in Computer Science
• Information Systems

• Multi-Entity Environments
• ERP Systems
• Data Pipelines
• Data Architecture
• Data Access Control

• Eclipse
• Epicor
• Salesforce
• Workday
• SSIS
• Azure Data Factory
• Claude Code