Senior Data Engineer - Databricks on AWS Platform

TAIT Towers; Lititz (Lancaster County); On-site; USD 120,000 - 160,000; Full time

Job summary

TAIT is seeking a hands-on Data Engineer to build and operate the governed data platform that will underpin the next phase of TAIT's technology transformation. Reporting to the Data Architect, you will turn target architecture into reliable pipelines, reusable data products, trusted analytical models, and production platform capabilities.

This role collaborates across Enterprise Technology, Architecture/AI, Integration, Infrastructure, and business teams, delivering data products and analytics

Qualifications

• Bachelor's degree in computer science, engineering, information systems, or related field.
• 7+ years of professional data engineering/analytics data platform experience.
• Proven Databricks on AWS production-grade delivery including architecture implementation and pipelines.

Responsibilities

• Design, build, deploy, and operate production data pipelines and lakehouse capabilities on Databricks with AWS.
• Implement scalable ingestion, transformation, orchestration, and serving for batch/real-time workloads.
• Ensure security, data governance, and access controls using AWS services and Databricks governance features.
• Develop robust data layers, optimize performance, and manage cost across platforms.
• Establish automated deployment with Git, CI/CD, and infrastructure-as-code.
• Collaborate with cross-functional teams to deliver data products and analytics.

Skills

Databricks on AWS

SQL

Python PySpark

Data modeling

CI/CD

Git

Data quality & governance

ETL orchestration

Education

Bachelor's degree in CS/Engineering/IS

Tools

Databricks

AWS

Unity Catalog

KMS

Job description

TAIT is seeking a hands-on Data Engineer to build and operate the governed data platform that will underpin the next phase of TAIT's technology transformation. Reporting to the Data Architect, you will turn target architecture into reliable pipelines, reusable data products, trusted analytical models, and production platform capabilities.

This role collaborates across Enterprise Technology, Architecture/AI, Integration, Infrastructure, and business teams, delivering data products and analytics