Senior Data Engineer & BI Developer (Hybrid)

Dawar Consulting, Inc.; 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, Inc. seeks a Senior Data Engineer & BI Developer in Foster City, CA. The role focuses on building data pipelines, data platforms, and BI dashboards using Databricks, Python, SQL, and Amazon QuickSight, Tableau.

You will work with PostgreSQL, Oracle, AWS RDS, and Starburst to ensure data quality, performance, and governance while delivering enterprise-scale data products and analytics solutions.

Qualifications

• 8+ years in data engineering, warehousing, analytics, and BI.
• Expert in Databricks, data lake architectures, PostgreSQL, Oracle.
• Experience delivering enterprise data products and analytics solutions.
• Knowledge of data governance and performance tuning.
• AI/ML concepts a plus.

Responsibilities

• Develop and maintain data pipelines, data lakes, ETL workflows.
• Use Databricks, Python, and SQL to transform data.
• Build dashboards, reports, scorecards, and KPIs using QuickSight and Tableau.
• Work with PostgreSQL, Oracle, AWS RDS, and Starburst.
• Ensure data quality, performance, security, and governance.

Skills

Data engineering

Data warehousing

Analytics

BI development

Tools

Databricks

Starburst

PostgreSQL

Oracle Database

AWS RDS

Python

SQL

Tableau

Amazon QuickSight

ETL tools

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.