Senior Data Engineer — Lakehouse & AI-Driven Pipelines

Veritas Search Group; Glendale (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Veritas Search Group seeks a Sr. Data Engineer to design, build, and optimize scalable data pipelines within a modern enterprise data platform based in Glendale, CA.

This role emphasizes data quality, governance, and collaboration with internal and external engineering teams to drive lakehouse and AI-enabled data services. The ideal candidate has strong Python and SQL skills, cloud platform experience (AWS/Azure/GCP), and hands-on ETL/ELT expertise, with a track record of delivering

Qualifications

• Strong Python and SQL development experience in production data pipelines.
• Experience with cloud-based data platforms (lakehouse, data lake, data warehouse).
• Understanding of data modeling, data integration, and data governance principles.
• Ability to translate business needs into scalable technical solutions.

Responsibilities

• Design, build, test, deploy, and optimize ETL/ELT pipelines.
• Develop scalable data solutions in cloud lakehouse data environments.
• Create automated, reliable data workflows with monitoring and recovery processes.
• Implement data quality, validation, cleansing, and testing standards.
• Support data governance, security, access controls, masking, lineage, and compliance.
• Collaborate with data architects and stakeholders to define platform designs.
• Provide technical direction to offshore or managed-services data engineers.

Skills

Python

SQL

Data Modeling

ETL/ELT

Cloud Platforms

Data Governance

Independent/Autonomous Work

Communication

Education

Bachelor's degree in CS/IS/Engineering or related

Master's degree in Data Science/CS or related (preferred)

Tools

Databricks

Unity Catalog

Snowflake

AWS

Azure

GCP

Apache Spark

Apache Airflow

Docker

Kubernetes

Job description

Veritas Search Group seeks a Sr. Data Engineer to design, build, and optimize scalable data pipelines within a modern enterprise data platform based in Glendale, CA.

This role emphasizes data quality, governance, and collaboration with internal and external engineering teams to drive lakehouse and AI-enabled data services. The ideal candidate has strong Python and SQL skills, cloud platform experience (AWS/Azure/GCP), and hands-on ETL/ELT expertise, with a track record of delivering