Data Engineer - Databricks Lakehouse for AI & Analytics

Brown & Brown, Inc.; Plano (TX); On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Employee stock purchase program (ESPP)

Student loan assistance

Tuition reimbursement

Paid time off

Job summary

Brown & Brown, Inc. in Plano, TX is seeking a Data Engineer to design, build, and operate modern data solutions supporting AI/ML, analytics, BI, and enterprise insights.

You’ll work with a collaborative team to create reliable, scalable data pipelines and data products across the development lifecycle. The role emphasizes production-ready pipelines, governance, and data quality, with opportunities to contribute to Databricks Lakehouse projects and cross-functional collaboration with product

Qualifications

• Bachelor’s degree in a STEM field or equivalent experience.

Responsibilities

• Design, develop, test, deploy, and support scalable batch and streaming data solutions.
• Build Databricks-native data engineering solutions using Delta Lake and Unity Catalog.
• Develop production-grade ingestion, transformation, and data-processing pipelines using Python, PySpark, SQL.
• Build governed data pipelines improving data accuracy, consistency, accessibility, and trust.
• Develop reusable components and automation to improve productivity and consistency.
• Implement data-quality validation, monitoring, and remediation for critical data assets.

Skills

Python

PySpark

SQL

Spark

Data modeling

Data governance

Problem solving

Communication

Education

Bachelor's degree in Computer Science or related STEM

Tools

Databricks

Delta Lake

Lakeflow Declarative Pipelines

Databricks Jobs

Auto Loader

Unity Catalog

Structured Streaming

Job description

Brown & Brown, Inc. in Plano, TX is seeking a Data Engineer to design, build, and operate modern data solutions supporting AI/ML, analytics, BI, and enterprise insights.

You’ll work with a collaborative team to create reliable, scalable data pipelines and data products across the development lifecycle. The role emphasizes production-ready pipelines, governance, and data quality, with opportunities to contribute to Databricks Lakehouse projects and cross-functional collaboration with product