Data Engineer — Build AI-Ready Lakehouse Pipelines (Plano, TX)

Brown & Brown, Inc.; Plano (AL); On-site; USD 120,000 - 180,000; Full time

Job summary

Brown & Brown, Inc. in Plano, TX seeks a Data Engineer to design, build, and operate modern data solutions supporting AI/ML and analytics. You will join a collaborative team to create scalable pipelines using Databricks, Delta Lake, and Unity Catalog, with governance and data quality baked in.

The role emphasizes hands-on development across the lifecycle, from design to monitoring and optimization, with cloud lakehouse technologies and a focus on enterprise data products.

Qualifications

• Bachelor’s degree in a STEM field or equivalent experience.
• 4+ years of data/ software engineering experience on production data solutions.
• Hands-on with Spark/PySpark, Delta Lake, Python, and SQL.
• Experience with Databricks Lakehouse and data governance concepts.

Responsibilities

• Design, develop, test, deploy, and support scalable batch and streaming data solutions.
• Build Databricks-native data engineering solutions using Delta Lake & Unity Catalog.
• Develop ingestion, transformation, and data-processing pipelines using Python and SQL.
• Make data pipelines reliable, governed, and quality-validated for AI/analytics.
• Collaborate with product owners and engineers across the lifecycle from design to production.

Skills

Python

SQL

Spark

Databricks

Delta Lake

Education

Bachelor's degree in CS/Engineering/Math/Info Systems (STEM)

Tools

Databricks Jobs

Auto Loader

Unity Catalog

Lakeflow Declarative Pipelines

Terraform

Job description

Brown & Brown, Inc. in Plano, TX seeks a Data Engineer to design, build, and operate modern data solutions supporting AI/ML and analytics. You will join a collaborative team to create scalable pipelines using Databricks, Delta Lake, and Unity Catalog, with governance and data quality baked in.

The role emphasizes hands-on development across the lifecycle, from design to monitoring and optimization, with cloud lakehouse technologies and a focus on enterprise data products.