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Azure Data Engineer - Hybrid

Acunor Inc

  • Minneapolis, MN
  • 3 days ago
  • $60–$65

Highlights

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. Strong hands-on experience with Microsoft Azure cloud services (Data Factory, Data Lake, Synapse, Blob Storage).

Numbers & Facts

LocationMinneapolis, MN
Salary$60–$65

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)

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