Overall Job Summary The Senior Data Engineer for Data Personalization and Analytics is pivotal in executing our customer data personalization strategy using advanced analytics and engineering techniques. Specializing in SQL, Python, Adobe suite, Alteryx, and Azure, this role is at the heart of our data engineering efforts to model insights and support targeted campaigns. The Senior Data Engineer will also take a leading role in managing our digital analytics across various channels, ensuring data-driven decisions that enhance customer satisfaction and business growth. Essential Duties and Responsibilities (Min 5%) • Develop and maintain scalable data/deployment pipelines, integrating various data sources using SQL, Python, and Alteryx, ensuring high data quality and accessibility. • Work closely with analytics and business teams to assist with data-related technical issues and support data infrastructure needs. • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs. • Manage the deployment of analytics solutions on the Adobe platform. • Collaborate with cross-functional teams to align data personalization efforts, reporting measurable outcomes from digital and social campaigns. • Contribute to the management of the budget and resources dedicated to data personalization projects. • Foster an environment of continuous learning and development within the data analytics and personalization team. Required Qualifications Experience: 5+ years of experience in a data engineering role, with a strong background in SQL, Python, and data pipeline development. Education: Bachelor’s degree in Computer Science, Engineering, or related field. High Demand IT Specialized skills: • Expertise in Python programming , SQL, Alteryx and Tableau. • Experience with personalization suits like Adobe Campaign, Adobe Target, AEM. • Experience with cloud-based analytical tools (MS Azure, Snowflake, or similar). Preferred knowledge, skills or abilities • Direct experience with large-volume customer data sets. • Experience connecting multiple disparate data sources in the course of analysis. • Strong analytical and problem-solving skills, with the ability to translate business objectives into analytical projects and solutions. Working Conditions • Normal office working conditions Physical Requirements • Sitting • Standing (not walking) • Walking • Kneeling/Stooping/Bending • Reaching overhead • Lifting up to 20 pounds Disclaimer This job description represents an overview of the responsibilities for the above referenced position. It is not intended to represent a comprehensive list of responsibilities. A team member should perform all duties as assigned by his/ her supervisor. Company Info At Tractor Supply and Petsense by Tractor Supply, our Team Members are the heart of our success. Their dedication, passion, and hard work drive everything we do, and we are committed to supporting them with a comprehensive and accessible total reward package. We understand the evolving needs of our Team Members and their families, and we strive to offer meaningful, competitive, and sustainable benefits that support their well-being today and in the future. Our benefits extend beyond medical, dental, and vision coverage, including company-paid life and disability insurance, paid parental leave, tuition reimbursement, and family planning resources such as adoption and surrogacy assistance, for all full-time Team Members and all part-time Team Members. Part time new hires gain eligibility for TSC Benefits by averaging at least 15 hours per week during their 90-day lookback period. The lookback period starts the first of the month following the date of hire. If the 15-hour requirement was met, the benefits eligibility date will be the first day of the month following 4 months of continuous service. Please visit this link for more specific information about the benefits and leave policies applicable to the position you’re applying for.