Azure Data Engineer - Cloud Data Pipelines (CTH)

INSPYR Solutions; Fort Worth (TX); On-site; USD 52,000 - 62,000; Part time

Job summary

INSPYR Solutions is seeking a Senior Data Engineer to join a high-performance technology team focusing on scalable data and analytics solutions. You will design, build, and support cloud-based data products to enable better business decisions.

The ideal candidate will have strong hands-on experience with Microsoft Azure, data engineering, SQL, Python/Spark, and modern data pipelines. You will work in an Agile/DevOps environment, mentoring others and ensuring data quality.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; equivalent experience considered.
• 3 years of data engineering/software development experience within Agile and DevOps environments.
• 3 years of SQL and data analytics experience.
• 3 years of cloud/data lake experience, preferably Microsoft Azure.
• Hands-on experience with Azure Data Factory, Azure Databricks, Azure Data Lake/Blob Storage, and Azure DevOps.
• Strong development/scripting experience with Python, Spark, and SQL.
• Experience building batch and/or streaming data pipelines.
• Experience with CI/CD and source control using GitHub, Jenkins, Azure DevOps, or Terraform.
• Strong communication skills with the ability to work across technical and business teams.

Responsibilities

• Design, develop, and support scalable data engineering and analytics solutions within Microsoft Azure.
• Build and maintain batch and real-time/streaming data pipelines.
• Develop data ingestion, transformation, modeling, and consumption layers using Azure Data Factory, Databricks, Data Lake, Event Hubs, and Azure Functions.
• Partner with application teams and Product Owners to translate business and data requirements into technical solutions.
• Participate across the full development lifecycle, including design, development, testing, CI/CD, deployment, performance tuning, monitoring, and production support.
• Work within an Agile/DevOps product model with end-to-end ownership of data products.
• Establish coding standards and engineering best practices around security, privacy, performance, and data quality.
• Provide technical leadership and mentor other engineers.

Skills

Python

Spark

SQL

Azure

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake

Azure DevOps

GitHub

Terraform

Azure Functions

Event Hubs

Job description

INSPYR Solutions is seeking a Senior Data Engineer to join a high-performance technology team focusing on scalable data and analytics solutions. You will design, build, and support cloud-based data products to enable better business decisions.

The ideal candidate will have strong hands-on experience with Microsoft Azure, data engineering, SQL, Python/Spark, and modern data pipelines. You will work in an Agile/DevOps environment, mentoring others and ensuring data quality.