Data Engineer: Lakehouse & Databricks Pipelines

InfoVision, Inc.

United States

On-site

USD 110,000 - 150,000

Full time

5 days ago

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Job summary

InfoVision, Inc. seeks a Data Engineer to design and build scalable data pipelines powering analytics, AI, and client-facing platforms.

You’ll work with data scientists, analytics engineers, and solution architects to transform raw data into production-grade pipelines that drive client insights. You will contribute to Delta Live Tables workflows, Delta Lake architectures, and Unity Catalog for governance, while collaborating across engineering and delivery teams to scale data solutions for

Qualifications

3–5 years of experience in data engineering in production environments.
Hands-on Databricks experience with Delta Lake, Unity Catalog, and SQL.
Strong proficiency in Apache Spark and SQL for large-scale transformations.

Responsibilities

Pipeline Design & Development: build scalable data pipelines using Spark and Databricks.
Lakehouse Architecture: design Delta Lake architectures and manage catalogs.
Data Modeling & Transformation: create data models for analytics and ML.
Data Quality & Observability: implement validation and monitoring for pipelines.
Client Delivery & Collaboration: scope, estimate, and deliver data engineering work for engagements.