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# Senior Data Engineering Analyst

- **Company:** Premise
- **Location:** Brentwood, TN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Information Systems, Information Engineering, Data Governance, Digital Architecture, Python (Programming Language), Cloud Services, Runbook, SQL Databases, Data Streaming, Data Storage Technologies, Apache Spark, Data Lakes, Information Technology, Data Delivery, Data Pipelines, Databricks
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=262fe346b10872d0

## About the Role

* Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
 * 2-4 years of experience in data engineering or related field
 * Experience with orchestration tools (Airflow, ADF, or similar)
 * Experience with Databricks and cloud data platforms (Azure, AWS)
 * Experience creating runbooks and operational documentation
 * Healthcare data experience preferred
 * Strong proficiency in SQL, Python, and Spark
 * Familiarity with Delta Lake and lakehouse patterns
 * Exposure to streaming or CDC patterns
 * Understanding of data pipeline reliability and monitoring concepts

## Description

The Data Engineering Senior Analyst will own ingestion jobs and pipelines within the bronze layer of the medallion architecture. This role manages domain requirements, creates runbooks and SLAs, and works with advanced Spark and orchestration tools to ensure reliable, performant data delivery to downstream consumers.

This is a Full Time, hybrid, Senior Data Engineering Analyst role located in Brentwood, TN.

What You'll Do

 * Pipeline Development & Ownership
 * Own ingestion jobs and data pipelines for assigned domains
 * Work with advanced Spark, ADF/Airflow, and orchestration tools
 * Implement Delta Lake and lakehouse patterns for data storage and processing
 * Ensure data pipelines are reliable, performant, and scalable
 * Documentation & Operations
 * Create and maintain runbooks and SLAs for pipeline operations
 * Manage domain requirements and communicate data availability timelines
 * Document architecture notes and technical decisions
 * Support pipeline monitoring, alerting, and incident response
 * Collaboration & Communication
 * Manage domain requirements with business and technical stakeholders
 * Collaborate with Analytics Engineering and Data Governance to ensure data quality and adherence to standards
 * Work with senior team members to prioritize work and resolve technical challenges
 * Receive and respond to feedback in a professional manner