Senior Data Engineer & BI Developer (Hybrid)

Dawar Consulting; San Mateo (CA); On-site; USD 124,000 - 135,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Paid Sick leave

401K

Job summary

Dawar Consulting in Foster City, CA is seeking a Senior Data Engineer & BI Developer for a long-term contract. The role focuses on designing, building, and maintaining data pipelines, data platforms, and BI dashboards.

The ideal candidate will excel with Databricks, Python, SQL and Amazon QuickSight, and possess experience with data engineering, cloud databases, and BI reporting. Key responsibilities include ETL development, data integration, and creating dashboards and KPIs using QuickSight and

Qualifications

• 8+ years of experience in Data Engineering, Data Warehousing, Analytics, and BI Development.

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.

Skills

Data engineering

BI development

Analytics

ETL development

Data governance

Tools

Databricks

Python

SQL

Amazon QuickSight

Tableau

PostgreSQL

Oracle

AWS RDS

Starburst

Job description

San Mateo, United States | Posted on 10/22/2026

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.