Hiring Data Engineers in USA
at v4c.ai · 51-100 employees
Series A · May 2026
- Seniority
- Mid
- Work model
- Remote
- Employment
- Full Time
- Posted
- 5d ago
pythonawsgcpazuredatabrickssparkairflowdbtci/cd
at v4c.ai · 51-100 employees
v4c.ai is a data and AI services partner specializing in the Databricks ecosystem.
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.