Data Engineer

Looking to work for the best in the industry? Look no further than POOLCORP, the world's leading distributor of outdoor living products. With over 445 Sales Centers in 13 countries and a team with more than 6,000 dedicated employees, we are committed to meeting the needs of our customers with pride and professionalism. Our network includes SCP Distributors, SCP Distributors International, Superior Pool Products, National Pool Tile, Pinch A Penny, and Horizon Distributors. Why join POOLCORP? We offer a wealth of opportunities for career growth and advancement, with comprehensive training programs to support your success. As a company, we value integrity, trust, diversity, and innovation, and we strive to foster a family-oriented, hometown culture that is supported by our strong, stable, and growing business. Join us today and experience the best of both worlds! So, end your job search here – at POOLCORP – Where Outdoor Living Comes to Life! You want Benefits? You’ve got it! Our generous benefits package includes: Medical, Dental, Vision, and Prescription Drug coverage with Flexible Spending Accounts and Wellness Programs 401 (k) with generous company match 13 days of paid time off (PTO) & 8 Paid Holidays (NOTE: PTO increases with tenure!) 100% employer paid Life Insurance and Long-Term Disability Insurance Paid Parental Leave Fully Funded Tuition Education Programs Bonus Programs that include Employee Recognition and Referrals, Summer Madness, and Annual Performance Employee Stock Purchase Plan Employee Discounts and much more! We are seeking a highly skilled Data Engineer to join our team! They will be responsible for designing, building, and maintaining the infrastructure and pipelines that enable data collection, storage, and access for analysis and other applications. As well as transforming raw data into usable formats, ensuring data quality and security, and collaborating with various teams to support data-driven decision-making. Key Responsibilities: Design, develop, and maintain robust ETL/ELT pipelines using Azure Data Factory and SSIS. Build and manage data warehouse schemas, models, and processes in SQL Server and Azure SQL Database. Optimize complex T-SQL queries, stored procedures, and database objects for performance and reliability. Collaborate with data analysts, scientists, and other stakeholders to understand data requirements and deliver scalable solutions. Establish and enforce data quality standards, data governance practices, and documentation. Monitor and troubleshoot data pipelines, proactively resolving issues to ensure data availability and accuracy. Participate in code reviews, architectural design discussions, and engineering best practices. Evaluate and integrate emerging data technologies to modernize the data platform. Required Qualifications: Experience & Education 5+ years of professional experience in data engineering or a closely related field. Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience. Microsoft Data Stack Advanced proficiency in SQL Server and Azure SQL Database, including T-SQL development and query optimization. Hands-on experience building and maintaining SSIS packages for complex ETL workflows. Strong experience with Azure Data Factory (pipelines, linked services, triggers, data flows). Working knowledge of Microsoft Fabric (including Power BI), Azure Analysis Services, and Tabular Models Data Warehousing Solid understanding of data warehousing concepts: dimensional modeling, star schemas, Kimball and Inman methodology. Experience designing and implementing data marts and enterprise data warehouse solutions. Familiarity with third normal form (3NF) database structures, slowly changing dimensions (SCDs), and incremental load patterns. Core Engineering Skills Strong proficiency in at least one programming language (Python, C#). Experience with source control systems (Git) and collaborative development workflows. Ability to work independently and translate complex business requirements into scalable technical data solutions. Excellent analytical thinking, problem-solving, testing, and team communication skills. Preferred Qualifications: The following qualifications are a plus but are not required. We encourage candidates who meet most of the required qualifications to apply: Knowledge of Microsoft Fabric and Azure Databricks. Experience with Azure DevOps (pipelines, repos, boards) for CI/CD of data solutions. Familiarity with AI tools, including large language models (e.g., Claude by Anthropic) and their integration into data workflows. Development experience with machine learning for forecasting, grouping, and anomaly detection Knowledge of real-time or streaming data architectures (Azure Event Hubs, Azure Service Bus). Understanding of UniBasic databases and coding languages. Exposure to data catalog and data lineage tools (Microsoft Purview). Understanding of both Waterfall and Agile/Scrum development methodologies. Bilingual, Military, Military Spouses and Veteran applicants are strongly encouraged to apply! We understand the uniqueness of hiring military personnel and veterans and will support him/her in the time of duty or with the transition into new civilian professions. All offers to external candidates for employment are contingent upon the successful completion of pre-employment drug testing and background verifications before employment is finalized. POOLCORP, including all its subsidiaries, is a drug-free company and Equal Opportunity Employer – By Choice. The Company understands, respects, and values diversity – unique styles, experiences, identities, ideas, and opinions – while striving to be inclusive of all people. This commitment is critical to our success as a global company as we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Hiring and promotional decisions are based solely on the qualifications required for the job to be filled. Apply To This Job