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
- 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!
Location: Remote in the United States, with ability to travel to Covington, LA Quarterly.
Applicants must be currently authorized to work in the United States on a full-time basis. The Company is unable to provide visa sponsorship, visa transfer support, or employment-based immigration sponsorship now or in the future. Candidates must reside and work within the United States.
What to Expect? 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. This role requires one day on site in our Covington location weekly.
On a daily basis our Data Engineer: - 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.
What You Will Need: 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.
At POOLCORP, we are committed to our employees' success. Our comprehensive benefits program offers the flexibility of benefits that meet the needs of our employees and their families. Some of these benefits include medical, dental and vision care, company-paid life and long-term disability insurance, prescription drug coverage, flexible spending and health savings accounts, 401(k) with company match, employee stock purchase plan, and employee assistance and education reimbursement programs. These benefits can help build a foundation for the future while helping employees live a healthy lifestyle.
The compensation range for this position nationally is between $118,000 and $127,000 based on a full-time schedule. The actual pay may vary depending on your skills, qualifications and experience. Additionally, this position may be eligible for discretionary bonuses or commissions plans as well as relocation or cost of living adjustments.
Your total compensation (pay, benefits, and bonuses) will be adjusted based upon your job classification, hours worked, and length of employment. Please note that benefits are subject to change. For more information about compensation and benefits, visit https://www.poolcorp.com/careers/compensation-benefits/
