Senior Azure Data Engineer - Data Pipelines & Analytics

R.S. Hughes Co, Inc; Cypress (TX); On-site; USD 90,000 - 118,000; Full time

Job summary

R.S. Hughes Co., Inc is seeking a Senior Data Engineer to design, build, and scale our enterprise analytics platform. The role focuses on robust data pipelines and analytics-ready models powering reporting and decision-making across the organization.

You will bring strong experience in Azure-based data engineering, dimensional modeling, and data quality, with a focus on long-term maintainability and performance. Collaboration with BI teams is essential.

Qualifications

• 3+ years of experience in Data Engineering or Analytics Engineering.
• Hands-on with Azure Synapse Analytics and Azure SQL Database.
• Proven experience designing and orchestrating ELT/ETL pipelines.
• Proficient in SQL with complex transformations.
• Experience using Python and/or PySpark for data processing.
• Knowledge of medallion architecture and Kimball dimensional modeling.
• Ability to design performant star schemas for analytics.
• Light DBA responsibilities in Azure SQL Database.

Responsibilities

• Design, build, and maintain ELT/ETL pipelines in Azure.
• Ingest data from databases, flat files, REST and Graph APIs.
• Develop API integrations using Python and PySpark.
• Onboard new data sources end-to-end.
• Transform data with medallion architecture and star schemas.
• Ensure data quality and governance across pipelines.
• Support Power BI data models and reporting.

Skills

Azure Synapse Analytics

Azure SQL Database

ETL/ELT pipelines design

SQL

Python

PySpark

Dimensional modeling (Kimball)

Star schemas design

Data modeling

Power BI integration

Education

Bachelor's degree in Computer Science

Bachelor's degree in Computer Engineering

Tools

Azure Logic Apps

REST APIs

Microsoft Graph APIs

Git / notebooks

Job description

R.S. Hughes Co., Inc is seeking a Senior Data Engineer to design, build, and scale our enterprise analytics platform. The role focuses on robust data pipelines and analytics-ready models powering reporting and decision-making across the organization.

You will bring strong experience in Azure-based data engineering, dimensional modeling, and data quality, with a focus on long-term maintainability and performance. Collaboration with BI teams is essential.