Data Engineer: Build Scalable Cloud Data Pipelines

Harnham; Austin (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Harnham in the United States is looking for a Data Engineer to help modernize and expand an enterprise data platform. This hands-on role offers ownership and visibility to shape the future of a growing data organization, enabling analytics and business decisions across the company.

You will develop data pipelines, design data models for reporting, and optimize a cloud-based platform on Azure using Python, SQL, and dbt. Strong communication and proactive data-quality work are essential.

Qualifications

• 3-8 years of Data Engineering experience.
• Strong experience with Python and SQL.
• Experience building and supporting ETL/data pipeline solutions.
• Hands-on experience with dbt and modern data transformation practices.
• Experience working with Azure or other cloud-based data environments.
• Understanding of data modeling, data warehousing, and platform architecture.
• Experience supporting production data environments and troubleshooting issues.
• Ability to work independently and take full ownership of projects.
• Strong communication and stakeholder management skills.
• Degree in Computer Science, Mathematics, Statistics, or a related technical field preferred.

Responsibilities

• Develop and maintain data pipelines that collect and process information from multiple sources.
• Design data models that enable reporting, analytics, and operational insights.
• Enhance a cloud-based data platform to improve performance, reliability, and scalability.
• Build solutions using Python, SQL, and dbt.
• Support and optimize Azure-based data infrastructure.
• Lead data engineering initiatives from design through deployment.
• Implement processes for data quality, monitoring, and operational excellence.

Skills

Python

SQL

dbt

Azure

Data modeling

ETL

Education

Bachelor's degree in CS/Math/Stats

Tools

dbt

Azure

Job description

Harnham in the United States is looking for a Data Engineer to help modernize and expand an enterprise data platform. This hands-on role offers ownership and visibility to shape the future of a growing data organization, enabling analytics and business decisions across the company.

You will develop data pipelines, design data models for reporting, and optimize a cloud-based platform on Azure using Python, SQL, and dbt. Strong communication and proactive data-quality work are essential.