Lead Data Engineer

Lead Data Engineer Job Description Our client is looking for a full-time Lead Data Engineer. The client company is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. The company aims to continue to serve more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. The client also delivers services and solutions, such as technical support and inventory management, to save customers time and money. This role is a hybrid position with a minimum 2 days of the work week being in-office at the Chicago office. The role could also potentially be fully remote depending on the responsibilities. They are looking for passionate people who will move the company forward. As one of the 100 Best Companies to Work For, the client company has a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. Company culture embraces new ways of thinking and recognizes everyone is an individual. As Lead Data Engineer, you will work with senior leaders within Customer Strategy & Marketing and across the company to bring data-driven transformation to life. By supporting the end-to-end realization of tasked goals you will help guide company growth strategies, analytical approaches, technical implementations, and standardized processes. By making relevant customer information available, you help the client market, sell, and deliver the best products and solutions that meet the needs of customers. You will report to the Director, Customer Information Design & Segment Research. Required Skills & Experience

• 5+ years post-undergraduate experience
• Technical and analytical proficiency using data tools (e.g. SQL, R/Python, Snowflake, Airflow, Kubernetes, or CircleCI)
• Experience proposing blueprint solutions, defining and enabling architectures for enterprise data platforms using modern data engineering solutions

• SQL
• R/Python
• Snowflake
• Airflow
• Kubernetes
• CircleCI

• Build and deploy scalable and reliable data pipelines, tool kits, and packages to help partners to centralize high quality, large, complex data sets from multiple business application, databases, and offline sources to cloud platforms for quicker strategy formulation, hypothesis testing, and work selection
• Collaborate with technology and partners (analytics, marketing, software engineering, data engineering and others) to identify high impact opportunities to transform the way things get done with differentiated data about customers
• Support iterative improvements to CI concepts and data structures so we can serve partners the best information we have today, persist past insights, and accommodate future enhancements
• Solve complex unstructured problems based on high-level guidance from leaders to inform data and process designs
• Keep informed of Data Engineering best practices and latest technologies to solve problems with the best solution
• Conceptualize process systems and their relationships to enable end-to-end thinking and to ensure efficient work execution at scale
• Work with partners to understand the problem space, identify opportunities, and translate said problems into technical solutions using modern data engineering frameworks and best practices
• Provide leadership implementing general IT concepts, strategies, methodologies, modern application and data engineering architectures and approaches.

• Bonus eligible

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) {including match- if applicable}