Hiring Data Engineers in USA
Build scalable data platforms and engineer robust pipelines for leading enterprise clients using Databricks and cloud ecosystems, implementing Medallion architecture and managing cloud operations on AWS.
Skills required
About this role
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.
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