Senior Data Engineer

UniFirst•Wilmington, MA

9d•Hybrid

About The Position

We are seeking a highly skilled and experienced Senior Data Engineer specializing in Microsoft SQL Server, Azure data services, and Microsoft Fabric. The role designs, develops, and maintains enterprise data warehouses, lakehouses, and data pipelines to ensure data reliability, performance, quality, and security. The Senior Data Engineer collaborates with software developers, data analysts, and other stakeholders to deliver trusted data for reporting, analytics, and business processes. This is a hybrid role with an on-site requirement in Wilmington, Massachusetts. Candidates must reside within commuting distance of the greater Boston area.

Requirements

At least 9 years of experience in data engineering and database development, with a focus on Microsoft technologies.
Proven experience with Microsoft SQL Server and T-SQL, SSIS, Azure data services, and Microsoft Fabric.
Expertise with Azure data services and Microsoft Fabric for enterprise data warehousing and lakehouse solutions.
Experience with Microsoft Fabric medallion architecture, Delta tables, incremental processing, and pipeline orchestration.
Knowledge of data modeling and database design principles.
Familiarity with SSRS and Power BI.
Familiarity with Azure Synapse Analytics, Microsoft Purview, and Git-based version control and CI/CD for data solutions.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Ability to work independently and manage multiple tasks and projects simultaneously.
Detail-oriented, with a focus on quality and accuracy.
Bachelor’s degree in computer science, Information Technology, or a related field.
Must reside within commuting distance of the greater Boston area for the hybrid role’s on-site requirement in Wilmington, MA.

Nice To Haves

Master’s degree.

Responsibilities

Design, implement, and maintain database structures and dimensional data models, including tables, views, indexes, and schemas, using Microsoft SQL Server, Azure SQL, and Microsoft Fabric Warehouse and Lakehouse.
Develop complex SQL queries, stored procedures, functions, and triggers to support application development and data processing.
Optimize database performance through indexing, query optimization, and other performance-tuning techniques.
Design and develop ETL and ELT processes using SSIS, Azure Data Factory, and Microsoft Fabric Data Factory pipelines and notebooks to ingest and transform data from multiple sources.
Ensure data quality, consistency, and integrity across systems and environments.
Monitor and troubleshoot data pipelines, implement logging and error handling, and ensure timely and accurate data processing.
Analyze and optimize SQL queries to improve execution times and reduce resource consumption; implement indexing strategies and rewrite complex queries for efficiency and maintainability.
Collaborate with developers to optimize queries embedded within applications.
Design and maintain cloud data solutions using Azure SQL Database, Azure Data Lake Storage, and Microsoft Fabric OneLake, Lakehouse, and Warehouse.
Develop and maintain data integration solutions connecting SQL Server, Azure data services, and Microsoft Fabric, including incremental loads and bronze, silver, and gold data layers.
Apply best practices for Azure and Microsoft Fabric, including workspace organization, access controls, monitoring, and performance and cost optimization.
Work with software developers, data analysts, and other IT team members to understand requirements and provide database solutions.
Provide technical support and troubleshooting for database-related issues.
Mentor and guide junior data engineers and other team members.
Create and maintain documentation for database designs, processes, and procedures.
Ensure compliance with data governance, security policies, and industry regulations.