Data Engineer

Role Overview

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.

What You Will Do

Build and maintain SQL- and Python-based data pipelines, implement warehouse structures and dimensional models, and partner with infrastructure colleagues on secure connectivity and access requirements.

Why It Might Be a Fit

The Data Engineer works cross-functionally with infrastructure, reporting, security, and AI colleagues as well as business stakeholders, and external specialists as needed.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Data Science, Mathematics, Statistics, or a related field
• 2-5 years of experience in data engineering, data integration, business intelligence, analytics engineering, or a related field
• 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

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