- Location
- Sacramento, California, US
- Workplace
- Remote
- Type
- Contract
- Department
- Engineering
- Seniority
- Senior
- Source
- BetterTeam
Description
Location: Remote within the Continental US.
Duration: 6-12 months
Rate: DOE
- Design, develop, enhance and maintain data pipelines integrating on-premises, SaaS, cloud, file-based and transactional/POS data sources.
- Assess and transition applicable relational and semantic data models to Microsoft Fabric.
- Integrate new data sources with existing enterprise data models while maintaining existing production pipelines.
- Design and develop curated data models supporting analytics, reporting and customer/participant analysis.
- Support development of customer-oriented data models involving identity resolution, customer attributes, household relationships, transactional data and segmentation.
- Prepare trusted, analytics-ready datasets for Power BI and other reporting/analytics uses.
- Work with BI resources to support advanced metrics, trend analysis, forecasting and predictive-analytics requirements.
- Implement and maintain data quality, validation, reconciliation and transformation rules.
- Support data governance through metadata management, lineage, taxonomy standards and normalized reference data.
- Implement production-grade pipeline controls including error handling, automated retries, logging, monitoring, data-freshness checks and operational support.
- Troubleshoot pipeline failures, data-quality issues and integration problems.
- Support secure data access using appropriate RBAC, least-privilege and data-protection practices.
- Coordinate with technical teams, business stakeholders and third-party system vendors.
- Microsoft Fabric.
- Azure data services.
- SQL / MS SQL Server.
- ETL/ELT and enterprise data pipeline development.
- Relational data modeling.
- Semantic data modeling.
- Data integration across multiple source types.
- Data quality and reconciliation.
- Pipeline monitoring, troubleshooting and production support.
- PostgreSQL.
- Power BI data integration/modeling.
- Customer or participant data modeling.
- Identity resolution / master or unified customer data concepts.
- Metadata management and data lineage.
- Data governance.
- Cloud migration / modernization.
- Predictive-analytics data preparation.
- APIs and SaaS data integration.
- POS/transactional system integration.