Lead Data Engineer — AI‑Driven Data Pipelines (Remote)

Quantiphi; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Quantiphi is seeking a Lead Data Engineer to architect and scale data pipelines in a remote USA setting. You will own data modeling, pipeline reliability, and analytics-ready data stores, partnering with teams across product, data science, and operations.

This role requires 7+ years of hands-on AWS data engineering, SQL, Python/PySpark, and dashboarding with QuickSight. You’ll optimize performance, ensure data quality and security, and mentor junior engineers while delivering measurable business

Qualifications

• Hands-on experience building scalable data pipelines and data lakes on AWS.
• Strong SQL skills and Python/PySpark for data processing.
• Experience with data modeling and data warehousing concepts.

Responsibilities

• Design and maintain data pipelines and data warehouses on AWS.
• Develop dashboards and reports using QuickSight and other BI tools.
• Collaborate with cross-functional teams to translate business requirements into data solutions.
• Ensure data quality, security, and governance across environments.

Skills

AWS

Python

SQL

Data Warehousing

QuickSight

Spark/PySpark

Education

Bachelor's degree in CS/IS

Tools

AWS Glue

Amazon EMR

Redshift

Athena

QuickSight

Tableau

Power BI

Job description

Quantiphi is seeking a Lead Data Engineer to architect and scale data pipelines in a remote USA setting. You will own data modeling, pipeline reliability, and analytics-ready data stores, partnering with teams across product, data science, and operations.

This role requires 7+ years of hands-on AWS data engineering, SQL, Python/PySpark, and dashboarding with QuickSight. You’ll optimize performance, ensure data quality and security, and mentor junior engineers while delivering measurable business