- Implement cloud-based, scalable data platforms to support manufacturing operations, inventory management, and distribution analytics
- Build and maintain Lakehouse and develop ELT/ETL workflows using Databricks, Lakeflow, Azure Data Factory, FiveTran, and Azure Data Lake Storage
- Integrate data from ERP and different source systems, including JD Edwards (JDE), Hubspot, Oracle, SQL Server, etc.
- Configure and maintain Unity Catalog — applying access policies, lineage settings, and metadata as directed by the architectural governance framework
- Implement RBAC/ABAC across the data platform, including row-level and column-level security in UC and ADLS
- Monitor pipeline health, troubleshoot failures, and perform root-cause analysis on data quality or performance issues
- Participate in daily support and respond to production incidents promptly
- Actively share knowledge and produce clear technical documentation for all implemented solutions — including pipeline designs, data flow diagrams, runbooks, and configuration notes
- Maintain up-to-date documentation in the team's knowledge base
- Contribute to team standards and best practices
- Databricks: 5+ years of hands-on data engineering experience. Strong Python skills. Proficient with Databricks — Delta Lake, PySpark/Spark SQL, notebooks, jobs, and cluster management
- Azure Data Platform: Proficient with Azure, Azure Data Lake Storage Gen2 and the broader Azure data ecosystem, Azure Data Factory, Azure Logic Apps, and Azure Key Vault
- Data Integration: Practical experience with connector management, API and Databricks Lakeflow (Workflows / DLT pipelines). Hands-on experience with medallion architecture, dimensional modeling, and incremental load
- Source Systems: 5+ years working with Oracle (PL/SQL, stored procedures) and SQL Server (T-SQL, CDC, query optimization); experience extracting from JD Edwards (JDE) table structures and business data models
- Access Control: Hands-on experience implementing RBAC/ABAC, row-level security, and column-level security across Databricks, Unity Catalogue, and relational databases
- DevOps: Experienced with Git, Azure DevOps or GitHub Actions, ansible and CI/CD pipelines
Skills/Competencies:
- Excellent communication skills, with the ability to translate complex data into actionable business insights. Familiar with Agile methodology, participate in Sprint planning
- Exposure to streaming data patterns (Event Hubs, Kafka, or Structured Streaming)
- Knowledge and hands-on experience with Power BI
- Familiarity with Azure Functions, Azure ML, Logic Apps, Azure Synapse, Microsoft Fabric, and Oracle Cloud
- Knowledge of FiveTran, dbt, Machine Learning, and AI development and deployment
Compensation:
RectorSeal has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the CSWI Board of Directors.
Benefits: At RectorSeal, our employees enjoy the following benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental, and vision plans, 401(k), pension, life insurance, paid time off program with paid holidays, and various wellness programs.
About RectorSeal
Based in Houston, Texas, RectorSeal, LLC, is a wholly owned subsidiary of CSW Industrials, Inc. [NYSE: CSW] and is a leading provider of quality solutions for the professional trades serving heating, ventilation, and air conditioning (HVAC/R), plumbing, electrical, and construction markets. For more information about RectorSeal’s innovative products and brands that increase efficiency and improve reliability, please visit www.RectorSeal.com.
About CSW Industrials
CSW Industrials is a diversified industrial growth company with industry-leading operations in three segments: Contractor Solutions, Specialized Reliability Solutions, and Engineered Building Solutions. CSW provides niche, value-added products with two essential commonalities: performance and reliability. The primary end markets we serve with our well-known brands include HVAC/R, plumbing, electrical, general industrial, architecturally-specified building products, energy, mining, and rail transportation.
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Skills Required
- 5+ years hands-on Databricks data engineering with strong Python skills (Delta Lake, PySpark, Spark SQL, notebooks, jobs, cluster management)
- Proficient with Azure data platform and Azure Data Lake Storage Gen2
- Experience with Azure Data Factory, Azure Logic Apps, and Azure Key Vault
- Implement ELT/ETL workflows and medallion architecture using Databricks Lakeflow / DLT and incremental load patterns
- Experience integrating data from ERP and source systems including JD Edwards (JDE), HubSpot, Oracle, and SQL Server
- 5+ years working with Oracle (PL/SQL, stored procedures) and SQL Server (T-SQL, CDC, query optimization)
- Hands-on experience configuring and maintaining Unity Catalog, applying access policies, lineage, and metadata
- Implement RBAC/ABAC and row-level and column-level security across Databricks, Unity Catalog, ADLS, and relational databases
- Monitoring pipeline health, troubleshooting failures, performing root-cause analysis on data quality and performance issues, and participating in production support
- DevOps experience with Git, Azure DevOps or GitHub Actions, Ansible and CI/CD pipelines
- Produce clear technical documentation, runbooks, data flow diagrams, and contribute to team standards
- Excellent communication skills and familiarity with Agile methodology and sprint planning
- Exposure to streaming data patterns (Event Hubs, Kafka, or Structured Streaming)
- Knowledge and hands-on experience with Power BI
- Familiarity with Azure Functions, Azure ML, Azure Synapse, Microsoft Fabric, and Oracle Cloud
- Familiarity with FiveTran, dbt, and machine learning / AI development and deployment
What We Do
With multiple businesses and brands across the U.S. and abroad, CSW Industrials (NASDAQ: CSWI) is a diversified industrial growth company with well-established, scalable platforms and domain expertise across three segments: Contractor Solutions, Engineered Building Solutions, and Specialized Reliability Solutions. The CSWI family includes RectorSeal, Whitmore, Greco, Smoke Guard, and Balco, established companies that produce well-known and reliable brands serving the HVAC/R, rail, plumbing, architecturally—specified building products, energy, mining and general industrial markets.
