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# Senior Data Engineer & BI Developer (Hybrid)

- **Company:** Dawar Consulting, Inc.
- **Location:** Foster City, CA, United States
- **Experience:** Expert
- **Salary:** $187,200.0 - $203,840.0
- **Contract:** Temporary to permanent
- **Skills:** Business Analytics Applications, Data Analysis, Business Intelligence Development, Cloud Computing, Cloud Database, Databases, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), PostgreSQL, Oracle Databases, Oracle (Applications), Performance Tuning, Power BI, Software Engineering, SQL Databases, Tableau (Software), Scripting, Amazon Relational Database Service, Data Lakes, Data Management, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-bi-developer-hybrid-san-mateo-ca--62336d2c-49b9-4ec0-81c1-13ad2f9076df

## About the Role

Business Intelligence, Biology, Business Intelligence, Biotech and Pharmaceutical, United States Department of Energy (DOE), Reporting Dashboards, Data Management, Software Engineering, Cloud Computing, Python Programming/Scripting Language, * 8+ years of experience in Data Engineering, Data Warehousing, Analytics, and BI Development.

 * Strong expertise in: Databricks and Data Lake architectures, Starburst, PostgreSQL, Oracle Database, AWS RDS, Python, SQL, Tableau, Amazon QuickSight, ETL development and data integration
 * Experience designing and delivering enterprise-scale data products and analytics solutions.
 * Strong knowledge of data modeling, performance tuning, data governance, and best practices.
 * Knowledge on AI and machine learning concepts is a plus.

## Description

This role focuses to design, develop, and maintain data pipelines, data platforms, and business intelligence dashboards. The ideal candidate will have strong hands-on experience with Databricks, Python, SQL, and Amazon QuickSight, along with expertise in data engineering, cloud databases, and BI reporting., * Develop and maintain data pipelines, data lakes, ETL processes, and data integration workflows.

 * Use Databricks, Python, and SQL to transform and optimize data.
 * Build dashboards, reports, scorecards, and KPIs using Amazon QuickSight and Tableau.
 * Work with databases including PostgreSQL, Oracle, AWS RDS, and Starburst.
 * Ensure data quality, performance, security, and governance.