Senior Data Engineer & BI Developer (Hybrid)
Long-term contract (W2, $90-98/hr) via Dawar Consulting for a biotechnology client in Foster City, CA: build and maintain data pipelines, data lakes, and BI dashboards using Databricks, Python, SQL, Starburst, AWS databases, and Amazon QuickSight/Tableau. Requires 8+ years in data engineering and BI.
- Compensation
- $90–$98 / hr
- Location
- San Mateo, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- 8+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 8+ years of experience in Data Engineering, Data Warehousing, Analytics, and BI Development
- Strong expertise in Databricks and Data Lake architectures
- Expertise in Starburst
- Expertise in PostgreSQL
- Expertise in Oracle Database
- Expertise in AWS RDS
- Strong Python skills
- Strong SQL skills
- Expertise in Tableau
- Expertise in Amazon QuickSight
- ETL development and data integration experience
- Experience designing and delivering enterprise-scale data products and analytics solutions
- Strong knowledge of data modeling, performance tuning, data governance, and best practices
Nice to have
- Knowledge of AI and machine learning concepts
Full description
Our client, a world leader in biotechnology and life sciences, is looking for a "Senior Data Engineer & BI Developer” based in Foster City, CA.
Job Duration: Long Term Contract (Possibility Of Extension)
Rate: $90-98/hr on W2 (DOE)
Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K
Overview
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.
Key Responsibilities
- 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.
Required Qualifications
- 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.
If interested, please send us your updated resume at hr@dawarconsulting.com/lakshmi@dawarconsulting.com.