Senior Data Warehouse Engineer
Location
Missouri
Posted
104 days ago
Salary
Not specified
Bachelor Degree5 yrs expEnglishAzureCloudETLGrafanaMS SQL ServerPythonService NowSOAPSQLSSISTableau
Job Description
• Administer, maintain, and optimize enterprise data warehouse environments to ensure availability, scalability, and performance
• Design, develop, and support ETL workflows using SSIS and other Microsoft BI components
• Manage data integrations via APIs (REST, SOAP, JSON, XML) to extract and transform data from systems such as ServiceNow, Jira, Workday, and other enterprise applications
• Ensure data accuracy, quality, and consistency across multiple data sources and systems
• Collaborate with business and technical stakeholders to define and implement data models, schemas, and transformation logic
• Create, schedule, and monitor data pipelines to meet SLA and performance targets
• Support enterprise reporting and analytics through tools such as Power BI, Tableau, Grafana, and WebFOCUS
• Implement best practices for data governance, metadata management, and security
• Troubleshoot ETL and API integration issues, monitor system performance, and support production releases
• Document data flows, integration logic, and APIs to ensure maintainability and compliance
Job Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
- 5+ years of experience administering or developing enterprise data warehouse environments
- Advanced proficiency with Microsoft SQL Server, SSIS, and ETL development
- Strong experience with Microsoft BI stack (SSAS, SSRS, Power BI)
- Hands-on experience working with REST/SOAP APIs for data integration and automation
- Experience building and maintaining dashboards and reports using Power BI, Tableau, Grafana, or WebFOCUS
- Strong SQL scripting and performance tuning skills
- Excellent communication and documentation abilities
- Familiarity with ServiceNow, Jira, and Workday data models or API frameworks (preferred)
- Experience with Azure Data Factory, Synapse Analytics, or other cloud-based data solutions (preferred)
- Knowledge of Python, PowerShell, or other scripting languages for automation and API integration (preferred)
- Understanding of DevOps and source control tools (Git, Azure DevOps) (preferred)
- Exposure to data governance, metadata management, and data security frameworks (preferred)
Benefits
- Health, dental, 401k plan
- Tuition and professional development reimbursement plan
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