Remote Databricks Engineer — Fast-Track to Principal

V4C.ai; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Unlimited PTO

Life Insurance (Basic, Voluntary & AD\

Job summary

V4C.ai, a top Databricks partner, is seeking a Senior Databricks Engineer to build production pipelines on the Databricks Lakehouse, working directly with enterprise customers and Databricks field teams. The role emphasizes a structured certification roadmap and in-house training to accelerate growth.

Ideal candidates have 8+ years in data engineering or analytics platforms, strong Python/SQL, and experience migrating complex ETL estates to the cloud.

Qualifications

• Eight+ years in data engineering, architecture, or analytics platform development.
• Demonstrated ownership of end-to-end architectures for enterprise data platforms.
• Experience migrating legacy data warehouses/ETL estates to modern cloud platforms.

Responsibilities

• Build and maintain batch and streaming ETL pipelines using PySpark, SQL, and Delta Lake on Databricks.
• Deploy and manage data resources on AWS, Azure, or GCP.
• Write and automate data validation and quality checks.
• Tune Spark jobs and SQL queries for performance and cost.
• Structure and clean enterprise datasets for analytics and AI workloads.
• Troubleshoot pipeline failures and data quality issues, including in production.

Skills

Databricks

Python

SQL

Spark

CI/CD

Data modeling

MLOps

Cloud

Tools

Databricks

AWS

Azure

GCP

Job description

V4C.ai, a top Databricks partner, is seeking a Senior Databricks Engineer to build production pipelines on the Databricks Lakehouse, working directly with enterprise customers and Databricks field teams. The role emphasizes a structured certification roadmap and in-house training to accelerate growth.

Ideal candidates have 8+ years in data engineering or analytics platforms, strong Python/SQL, and experience migrating complex ETL estates to the cloud.