Emergent Staffing

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Azure) on a 6-month contract, hybrid in Minneapolis–Saint Paul. Requires U.S. work authorization, strong SQL, Azure Data Factory, Databricks, and PySpark skills. Preferred experience includes vendor collaboration and cloud data engineering best practices.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 12, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Greater Minneapolis-St. Paul Area
-
🧠 - Skills detailed
#Azure #Azure SQL #Documentation #Azure Data Factory #PySpark #SQL (Structured Query Language) #Consulting #"ETL (Extract #Transform #Load)" #Azure SQL Database #Spark (Apache Spark) #Cloud #SQL Server #Data Architecture #ADF (Azure Data Factory) #Data Engineering #Data Transformations #Databricks #Scala #Azure Databricks #Data Pipeline
Role description
Data Engineer (Azure) | 6-month Contract Hybrid – Minneapolis–Saint Paul (South Metro) 1–2 in‑office days per week (Tuesday/Thursday) U.S. work authorization required (no sponsorship) This is a great opportunity to support ongoing data engineering initiatives, work across modern Azure tools, and collaborate closely with an external engineering partner to drive high‑quality, scalable data solutions. What You’ll Do • Build and maintain data pipelines using Azure, Databricks, PySpark, and SQL • Develop data transformations, orchestration, and integration patterns • Serve as a liaison between internal teams and an external engineering vendor • Troubleshoot and monitor Azure Data Factory pipelines • Work with Azure SQL Database or SQL Server • Contribute to data architecture, documentation, and process improvement • Collaborate with analysts, engineers, and business stakeholders • Support both project‑based work and ongoing internal data needs • Use additional Microsoft cloud tools across the data ecosystem What You Bring • Experience in Azure data engineering • Strong SQL skills • Proficiency with Databricks and PySpark • Experience with Azure Data Factory • Experience with Azure SQL Database or SQL Server • Strong communication skills and ability to work cross‑functionally Preferred Experience • Experience working with external vendors or partner engineering teams • Familiarity with Microsoft cloud tools across the data stack • Background in consulting or fast‑paced project environments • Knowledge of cloud‑based data engineering best practices Interview Process 1. Application (approximately 5 minutes) 1. Online assessment (40–60 minutes) 1. Initial video interview (30–45 minutes) 1. Client on‑site interview (60 minutes) 1. Offer