Corporate Headquarters Employee

W.S. Darley & Co. is seeking a Data Engineer to build and maintain data systems that support better decisions, automation, and AI use. The role develops data pipelines and warehouse structures, improves data quality, and partners with infrastructure, reporting, security, AI colleagues, and business stakeholders to deliver reliable analytics solutions.

Responsibilities

• Build and maintain SQL- and Python-based data pipelines that ingest, validate, and transform data from business systems, APIs, files, and approved external sources
• Help implement warehouse structures and dimensional models, including reusable tables, documented relationships, and consistent business definitions
• Partner with infrastructure colleagues on secure connectivity, access, environments, scheduling, monitoring, and recovery requirements
• Implement data quality checks, reconciliation, error handling, version control, and documentation so data products remain reliable and maintainable
• Work with reporting colleagues to deliver curated data sets and semantic models for dashboards and self-service analytics
• Translate business questions into data requirements and prioritize useful, achievable solutions with stakeholders
• Collaborate with external specialists on architecture and implementation patterns, then maintain and extend the solutions internally

Preferred

• Advanced degree preferred
• Experience supporting reporting, analytics, or AI initiatives preferred
• Advanced Degree
• Reporting Support
• Analytics Support
• AI Initiative Support

Benefits

• PTO
• Paid Holidays
• Tuition Reimbursement
• Health & Wellness Reimbursement
• Medical
• Dental
• Vision
• Life & Disability insurance
• HSA with Darley contribution
• FSA
• 401K/Roth with match and profit sharing

Company

• Technology and equipment solutions for military and first responders
• Itasca, Illinois, USA
• http://darley.com/
• Founded in 1908
• 201-500 employees

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science, Mathematics, Statistics, or a related field
• Equivalent combination of education and technical training and relevant experience may be considered
• 2-5 years of experience in data engineering, data integration, business intelligence, analytics engineering, or a related field
• Experience building and maintaining production data pipelines
• Experience integrating data from ERP, CRM, manufacturing, financial, operational, and third-party systems
• Experience working with business stakeholders to translate requirements into scalable data solutions
• Strong SQL skills, including query optimization, data transformation, and database design
• Proficiency in Python for data processing, automation, and ETL/ELT development
• Experience with data warehousing concepts, dimensional modeling and semantic data structures
• Knowledge of data quality management, data validation, cleansing and reconciliation, and monitoring techniques
• Experience with APIs, flat files, and structured or semi-structured data sets
• Understanding of data governance, security, and access management principles
• Strong analytical and problem-solving skills
• Ability to identify trends, anomalies, and data quality issues
• Ability to prioritize competing requests and deliver practical solutions
• Strong communication skills with technical and non-technical audiences
• Ability to document technical solutions and establish repeatable processes
• Demonstrated customer service mindset when supporting internal stakeholders
• Ability to work cross-functionally and influence decisions through data expertise
• Commitment to continuous learning in emerging data and AI technologies
• Advanced degree preferred
• Experience supporting reporting, analytics, or AI initiatives preferred

Required skills

• API Integration, Data Engineering, Data Governance, Data Integration, Data Pipelines, Data Quality Management, Data Security and Access Management, Data Warehousing, Dimensional Modeling, Python, SQL, Semantic Data Modeling

Preferred skills

• Advanced degree preferred

Experience

• 2-5 years