Technology

Azure Data Engineer - Hybrid

Acunor InfotechMinneapolis, MN🇺🇸United StatesPosted Oct 2, 2026

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

Minneapolis, MN, United States

Posted

21 hours ago

SQLScalaETLSnowflakeAirflowAzureData PipelineDatabricksGitKafkaPython

Job Description

Role: Data Engineer

Location: Minneapolis, MN

Work from office 3 days

We are looking for an experienced Data Engineer to design, build, and maintain scalable data pipelines and infrastructure on Azure, leveraging Databricks, SQL, and Snowflake to enable reliable, high-quality data for analytics and business decision-making

Key Responsibilities

Design, develop, and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and related Azure services
Build and maintain data models, schemas, and pipelines in Snowflake for analytics and reporting use cases
Write efficient, well-structured SQL queries and stored procedures for data transformation and validation
Develop and optimize PySpark/Spark jobs within Databricks notebooks for large-scale data processing
Implement data quality checks, monitoring, and alerting across pipelines
Troubleshoot and resolve data pipeline issues, ensuring high availability and reliability
Mentor junior engineers and review their code/design for quality and best practices
Participate in code reviews and contribute to engineering best practices (CI/CD, version control, testing

Required Skills & Qualifications

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
5+ years of experience as a Data Engineer
Strong hands-on experience with Microsoft Azure cloud services (Data Factory, Data Lake, Synapse, Blob Storage)
Advanced SQL skills - query optimization, stored procedures, performance tuning at scale
Substantial hands-on experience with Snowflake - data modeling, warehousing, and performance optimization
Strong programming experience in Python or Scala for data processing
Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT best practices
Familiarity with version control (Git) and CI/CD pipelines
Strong problem-solving skills, ownership mindset, and ability to work independently and lead initiatives

Good to Have

Experience with orchestration tools (Airflow, Azure Data Factory pipelines)
Knowledge of data governance and security frameworks
Experience with real-time/streaming data (Kafka, Event Hubs)
Relevant certifications (Azure Data Engineer Associate, Databricks certifications, SnowPro)