Senior Data Engineer

CSW Industrials Inc.

. Implement cloud-based scalable data platforms supporting manufacturing operations, inventory management, and distribution analytics .

Posted 10/23/2026full-timeHouston • Texas • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in building and maintaining cloud-based data platforms, with a strong focus on Databricks, Azure Data Factory, and data integration from ERP systems. Proficient in implementing security measures and optimizing data workflows to support manufacturing operations and analytics.

Highest-signal resume keywords

Databricks ProficiencyPython ProgrammingAzure Data FactoryRBAC/ABAC ImplementationSQL Server Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringELT/ETL WorkflowsDelta LakePySparkSQLPL/SQLDimensional ModelingIncremental LoadData Quality MonitoringData Integration

Soft Skills

Excellent CommunicationKnowledge Sharing

Tools & Technologies

Azure Data Lake StorageUnity CatalogGitAzure DevOpsPower BIFiveTranAnsibleCI/CD PipelinesAzure Logic AppsAzure Key Vault

Industry Keywords

Manufacturing OperationsInventory ManagementDistribution AnalyticsAgile MethodologyStreaming Data Patterns

Tech Stack

Tools & technologies

AnsibleAzureCloudERPETLKafkaOraclePySparkPythonSparkSQLUnityVault

About the role

Key responsibilities & impact

Implement cloud-based scalable data platforms supporting manufacturing operations, inventory management, and distribution analytics
Build and maintain Lakehouse solutions and develop ELT/ETL workflows using Databricks, Lakeflow, Azure Data Factory, FiveTran, and Azure Data Lake Storage
Integrate data from ERP and source systems, including JD Edwards, HubSpot, Oracle, and SQL Server
Configure and maintain Unity Catalog, including access policies, lineage settings, and metadata
Implement RBAC/ABAC, row-level security, and column-level security across the data platform
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 in a timely manner
Share knowledge and produce technical documentation, including pipeline designs, data flow diagrams, runbooks, and configuration notes
Maintain documentation in the team's knowledge base
Contribute to team standards and best practices

Requirements

What you’ll need

5+ years of hands-on data engineering experience with Databricks
Strong Python skills
Proficiency with Databricks, including Delta Lake, PySpark/Spark SQL, notebooks, jobs, and cluster management
Proficiency with Azure, Azure Data Lake Storage Gen2, Azure Data Factory, Azure Logic Apps, and Azure Key Vault
Practical experience with connector management, APIs, and Databricks Lakeflow (Workflows / DLT pipelines)
Hands-on experience with medallion architecture, dimensional modeling, and incremental load
5+ years working with Oracle, including PL/SQL and stored procedures
5+ years working with SQL Server, including T-SQL, CDC, and query optimization
Experience extracting from JD Edwards (JDE) table structures and business data models
Hands-on experience implementing RBAC/ABAC, row-level security, and column-level security across Databricks, Unity Catalog, and relational databases
Experience with Git, Azure DevOps or GitHub Actions, Ansible, and CI/CD pipelines
Knowledge and hands-on experience with Power BI
Familiarity with Agile methodology and participation in Sprint planning
Excellent communication skills, with the ability to translate complex data into actionable business insights
Preferred: exposure to streaming data patterns, including Event Hubs, Kafka, or Structured Streaming
Preferred: familiarity with Azure Functions, Azure ML, Logic Apps, Azure Synapse, Microsoft Fabric, and Oracle Cloud
Preferred: knowledge of FiveTran, dbt, machine learning, and AI development and deployment

Benefits

Comp & perks

Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the CSWI Board of Directors
Comprehensive medical, dental, and vision plans
401(k)
Pension
Life insurance
Paid time off program with paid holidays
Various wellness programs