Data Engineer

Overview W.S. Darley & Co is seeking a Data Engineer to join our Team! The Data Engineer is responsible for turning business data into a trusted foundation for better decisions, automation, and AI use at Darley. This role combines practical data engineering with analytics enablement and builds systems and infrastructures that collect and process data according to company needs and goals. They design, develop and implement statistical models to carry out various novel aspects of classification and information extraction from data. They also leverage existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes. They will analyze data to spot anomalies, trends and correlate similar data sets while also troubleshooting problems, identifying possible solutions, and bringing resolution for end users. The Data Engineer works cross-functionally with infrastructure, reporting, security and AI colleagues as well as business stakeholders, and external specialists as needed. Key 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. Job Details This is a full-time position that is expected to work from our Itasca, IL office 4-5 days per week. Days and hours of work are Monday through Friday, 8:00 a.m. to 4:30 p.m. or as otherwise required to meet business needs. Occasional evening and weekend work may be required to support sales events, customer needs and critical incidents. Travel Regular travel is not required through you may be asked to occasionally travel to customer sites, OEMs, Darley sites, management meetings or training events. Compensation $75,000-$95,000 annual base salary Benefits PTO Paid Holidays Tuition ReimbursementHealth & Wellness Reimbursement Medical Dental Vision Life & Disability insurance HSA with Darley contribution FSA 401K/Roth with match and profit sharing About W.S. Darley & Co. Founded in 1908, W.S. Darley & Co. (Darley) remains a family owned and operated business, supplying the highest quality equipment solutions to its military and first responder customers. With origins in the equipment distribution and Midwest manufacturing, Darley offers a family of leading innovate emergency equipment brands and innovative solutions. Darley prides itself on delivering the highest quality solutions and services from its corporate headquarters in Itasca, IL and its’ ISO 9001:2015 certified manufacturing operations in Chippewa Falls, WI and Janesville, IA. Requirements Education Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Data Science, Mathematics, Statistics, or a related field; Advanced degree preferred Equivalent combination of education and technical training and relevant experience may be considered Experience 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 Experience supporting reporting, analytics, or AI initiatives preferred 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 Business Competencies 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 #J-18808-Ljbffr Darley-