Position Description: Turner Construction is seeking a skilled and experienced Senior Data Engineer to join our growing Data Lakehouse team. In this role, you will design, build, and optimize data pipelines and infrastructure to support enterprise-wide analytics and reporting on a scale. You’ll work closely with data analysts, data scientists, and business stakeholders to enable trusted, high-quality data across the organization.

We are looking for someone who thrives in a cloud-native environment and is comfortable owning end-to-end data workflows—from ingestion to serving—in a modern ELT architecture. If you're passionate about building scalable data platforms and making data usable for real-world business decisions, we want to hear from you.

Essential Duties & Key Responsibilities:

Design, implement, and maintain robust and scalable ELT data pipelines using Python and SQL.Develop and orchestrate data workflows using Databricks as well as converting existing Azure Data Factory pipelines.Manage structured and semi-structured data ingestion into our Data Lakehouse platform (Delta Lake architecture).Build reusable, tested, and well-documented transformation logic with Databricks.Monitor data pipeline health, performance, and integrity; proactively resolve issues and ensure SLA compliance.Partner with analytics, engineering, and business teams to deliver well-modeled, production-ready datasets.Experience in Databricks view creation, partitioning, and optimization to ensure BI tools such as PowerBI can utilize Data Assets efficiently. Collaborate on the governance and documentation of metadata.Contribute to architectural discussions and platform evolution in support of enterprise data strategy.