# Hiring Data Engineers in USA

> V4C.ai · United States (Remote) · Full-time · Posted 2026-08-10

**Workplace:** remote

**Department:** Delivery

## Description

About V4C  
At V4C, we empower enterprise organizations to unlock the full value of their data. As a fast-growing technology consultancy, our Databricks practice partners with industry leaders to architect modern data platforms, build high-performance data pipelines, and accelerate enterprise AI and analytics initiatives.  
  
Job Description:  
  
V4C is hiring a Mid-Level Data Engineer to join our growing US Databricks practice. You will collaborate with leading enterprise clients to build scalable data platforms, engineer robust pipelines, and power downstream AI/analytics initiatives.  
Key Responsibilities  

-   **Data Pipelines:** Build and optimize batch/streaming ETL workflows using PySpark, SQL, and Delta Lake on Databricks.
-   **Lakehouse Architecture:** Implement Medallion architecture (Bronze/Silver/Gold) across cloud ecosystems.
-   **Cloud Operations:** Manage and deploy data resources on AWS, Azure, or GCP.
-   **Optimization & Quality:** Benchmark Spark jobs, tune SQL performance, and automate data validation.
-   **AI Enabling:** Structure and clean large enterprise datasets for production ML and AI workloads.

Requirements  

-   **3+ years** of dedicated Data Engineering experience.
-   **Tech Stack:** Strong proficiency in **Python**, **SQL**, **Databricks**, **Apache Spark**, and **Delta Lake**.
-   **Cloud Platforms:** Hands-on experience with **AWS, Azure, or GCP** data services.
-   **Engineering Standards:** Experience with data modeling, Git, and CI/CD basics.
-   Strong problem-solving and client communication skills.

Nice-to-Have  

-   Databricks Certifications.
-   Experience with Unity Catalog, dbt, or Airflow.
-   Consulting or client-facing background.

## Apply

[Apply at V4C.ai](https://apply.workable.com/v4c/j/E6BD6E5C7C/apply)

---
Powered by [Workable](https://www.workable.com)