Senior Data Engineer – Azure Synapse & ETL Pipelines

Apex Systems; San Antonio (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Everforth Apex is seeking a Senior Data Engineer to design and maintain end-to-end data pipelines on the Azure stack. You will support analytics solutions within the Insights & Discovery Platform and collaborate with multiple IT and business teams.

You will contribute to ETL/ELT processes, data modeling, and data warehouse maintenance, while leveraging Azure Databricks, Cosmos DB, and CI/CD practices in a hybrid environment.

Qualifications

• Bachelor's degree in a related field is required.
• 8-10 years building data pipelines and enterprise data warehouses.
• Experience in scaled agile data engineering delivery.

Responsibilities

• Design analytics solutions on Microsoft Azure Synapse Analytics.
• Develop ETL/ELT processes for large volume data ingestion.
• Utilize Azure data tools for preparation, integration, and analytics.
• Automate recurring data preparation tasks to reduce manual work.
• Collaborate with IT teams to gather analytics requirements.
• Document options and recommendations for analytics solutions.
• Work with cloud, data science, governance, and IT teams.
• Participate in scaled agile delivery of data products.
• Provide troubleshooting for production support and enhancements.

Skills

SQL

Data modeling

Data warehouse

OLAP

Azure Synapse

Azure Data Lake

Azure Spark Pools

Databricks Notebook

Cosmos DB

CDC tools

Python

DevOps

CI/CD

Education

Bachelor's degree in Computer Science

Tools

Azure Data Lake Storage

Azure Synapse Analytics

Azure Spark Pools

Databricks Notebook

Cosmos DB

CDC tools

DevOps tooling

CI/CD pipelines

Job description

Everforth Apex is seeking a Senior Data Engineer to design and maintain end-to-end data pipelines on the Azure stack. You will support analytics solutions within the Insights & Discovery Platform and collaborate with multiple IT and business teams.

You will contribute to ETL/ELT processes, data modeling, and data warehouse maintenance, while leveraging Azure Databricks, Cosmos DB, and CI/CD practices in a hybrid environment.