Azure Cloud Data Engineer - Federal Project

Baer Group; St. Louis, Northern (MO, KY); Hybrid; USD 83,000 - 152,000; Full time

Job summary

Baer is looking for an Azure Cloud Developer for a 12+ month Federal project located in St. Louis, MO.

The role focuses on designing, developing, and maintaining scalable Azure-based data solutions and pipelines to support analytics and business applications. The ideal candidate will have 3+ years of Azure data engineering experience, expertise with Azure Data Factory, Databricks, Spark, and strong SQL skills.

Qualifications

• Design, develop, and maintain scalable Azure data pipelines using Azure cloud-native services.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure cloud-native services.
• Integrate data from internal and external systems into Azure data platforms.
• Develop ETL/ELT solutions using Azure Data Factory and related Azure services.
• Build and optimize batch and streaming data processing pipelines using Databricks or Apache Spark.
• Write complex SQL queries for data transformation, validation, and analysis.
• Perform root cause analysis and troubleshoot data pipeline and integration issues.
• Monitor, maintain, and enhance existing data pipelines for performance and reliability.
• Work closely with cross-functional teams in an Agile environment.
• Follow CI/CD, security best practices, coding standards, and SDLC processes.

Skills

Azure data engineering

SQL and programming (Python/Java)

Agile development

Data pipeline design

CI/CD awareness

Tools

Azure Data Factory

Databricks

Apache Spark

Azure Cosmos DB

Azure SQL

Azure Synapse

Airflow

Oozie

Job description

Baer is looking for an Azure Cloud Developer for a 12+ month Federal project located in St. Louis, MO.

The role focuses on designing, developing, and maintaining scalable Azure-based data solutions and pipelines to support analytics and business applications. The ideal candidate will have 3+ years of Azure data engineering experience, expertise with Azure Data Factory, Databricks, Spark, and strong SQL skills.