Remote Lakehouse Data Engineer | Databricks

BairesDev; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

100% remote work

Competitive USD salary

Home office setup provided

Flexible hours

Parental leave & vacations

Global multicultural team

Job summary

BairesDev is seeking a Lakehouse Engineer to design scalable data architectures on the Databricks Lakehouse platform. You will bridge raw data sources and actionable insights, ensuring governance and high performance across the data lifecycle.

Responsibilities include building production-grade data pipelines with PySpark, SQL, Python, and enabling Unity Catalog governance while optimizing Delta Lake for cost-efficient storage. Remote work from the United States is supported.

Qualifications

• 4+ years of experience in Data Engineering, with a focus on Lakehouse architectures.
• Proven expertise in building scalable data pipelines using Databricks and PySpark.
• Deep understanding of the Medallion architecture (Bronze, Silver, Gold) and Delta Lake.
• Hands-on experience with Unity Catalog for data governance and access control.
• Proficiency in SQL and Python for complex data transformations and analysis.

Responsibilities

• Design and develop production-grade data pipelines using PySpark, SQL, and Python.
• Implement and manage the Medallion architecture to ensure data quality and structured processing.
• Configure and govern data access and security across the organization using Unity Catalog.
• Optimize Delta Lake tables for high-performance querying and cost-efficient storage.
• Collaborate with cloud teams to deploy and scale lakehouse solutions on AWS or Azure.

Skills

Databricks Lakehouse

PySpark

SQL

Python

Medallion architecture

Delta Lake

Unity Catalog

Data governance

English (advanced)

Tools

Databricks

Delta Lake

Unity Catalog

Job description

BairesDev is seeking a Lakehouse Engineer to design scalable data architectures on the Databricks Lakehouse platform. You will bridge raw data sources and actionable insights, ensuring governance and high performance across the data lifecycle.

Responsibilities include building production-grade data pipelines with PySpark, SQL, Python, and enabling Unity Catalog governance while optimizing Delta Lake for cost-efficient storage. Remote work from the United States is supported.