Azure Data Engineer

Azure Data Engineer

Open to any work auth

Must be local to Mass or NH to go onsite to Wilmington MA. No relocation candidates

Azure Data Engineer with 7-9 years of experience

Experience with Microsoft Fabric is preferred but not required. If they havent worked with it must have strong experience with Azure Data Factory and synapse

data-warehousing concepts (ETL staging fact/dimension modeling).

Strong with Azure services such as Data Factory Synapse components.

SQL (T-SQL preferred but still send someone if they dont have T-SQL experience)

Python scripting

Position Summary

We are seeking a highly motivated Azure Data Engineer with 7-9 years of experience in SQL Python and Azure cloud services to join our growing data-engineering team.

This role is ideal for someone with experience in SQL and Python strong analytical skills and enthusiasm to learn cloud technologies. The candidate will assist senior engineers in developing testing and maintaining reliable and scalable data solutions that power business analytics and reporting across Finance Operations and Enterprise functions.

Key Responsibilities

Support data-pipeline development and migration activities for Legacy Data Warehouse (LDW) to Azure Fabric Lakehouse/Warehouse.

Write efficient SQL queries for data extraction transformation and validation across multiple databases (SQL Server 2022 Azure SQL MI Synapse).

Develop and debug Python scripts for automation file ingestion and data-quality checks.

Assist in building Fabric dataflows pipelines and lakehouse tables aligned with enterprise data-modeling standards.

Collaborate with senior engineers on ETL design optimization and performance tuning.

Perform unit testing peer code reviews and maintain technical documentation in Confluence/Git.

Monitor data-load processes and assist in resolving job failures (Zephyr test case execution JIRA updates).

Continuously learn emerging Azure technologies (Databricks Fabric Power BI) and contribute to process-improvement initiatives.

Required Skills and Qualifications

Bachelors degree in Computer Science Information Systems Engineering or related field.

6 years of hands-on experience with SQL (T-SQL preferred)

Python scripting

Experience with Microsoft Fabric is a nice to have but not required. If they havent worked with it must have strong experience with Azure Data Factory and synapse

data-warehousing concepts (ETL staging fact/dimension modeling).

Strong with Azure services such as Data Factory Synapse or Fabric components.

Strong curiosity analytical mindset and attention to detail.

Enthusiasm to learn enterprise-scale systems and deliver high-quality production-ready code.

Experience with Git/Azure DevOps Confluence/JIRA

data-modeling metadata management and data-quality principles.

Familiarity with Agile or Scrum development environments.

Knowledge of Power BI and basic DAX concepts.