Azure Data Engineer | PySpark, SQL & Data Warehousing

Inxite Out; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Inxite Out is seeking a Data Engineer to design and maintain scalable data pipelines using Python/PySpark and SQL within Azure data services. The role emphasizes ETL/ELT development, data warehousing concepts, and strong collaboration with business and tech teams.

The ideal candidate has 3+ years of experience, excellent problem-solving and communication skills, and a Bachelors or higher in a related field. Full-time, permanent position.

Qualifications

• 3+ years of experience in data engineering and data warehousing.
• Strong Python/PySpark and SQL skills.
• Hands-on experience with Azure data services and ETL.
• Good understanding of data integration and data warehousing concepts.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Develop and maintain data pipelines using Python/PySpark.
• Build ETL/ELT solutions using Azure Data Factory, Data Lake, Blob Storage, Databricks, Synapse, and Azure SQL.
• Write complex SQL queries, stored procedures, and transformations.
• Collaborate with business and technical teams to deliver data solutions.
• Troubleshoot data and pipeline issues and follow engineering best practices.
• Use Git, Azure DevOps, and Jira for development and project tracking.

Skills

Data Warehousing

Python/PySpark

SQL

Azure ETL

Data integration

Communication

Education

Bachelor degree or higher

Tools

Git

Azure DevOps

Jira

Job description

Inxite Out is seeking a Data Engineer to design and maintain scalable data pipelines using Python/PySpark and SQL within Azure data services. The role emphasizes ETL/ELT development, data warehousing concepts, and strong collaboration with business and tech teams.

The ideal candidate has 3+ years of experience, excellent problem-solving and communication skills, and a Bachelors or higher in a related field. Full-time, permanent position.