Data Engineer II

About the Role

We are seeking a Data Engineer II at CliftonLarsonAllen LLP to support the design, development, and maintenance of scalable, secure, high-performing data solutions. In this key position, you will build and maintain robust data pipelines, ensure seamless integrations across enterprise systems, and deliver trusted data assets that drive business insights.

Key Responsibilities

• Build, test, deploy, and maintain data pipelines using Azure Databricks, Azure Data Factory, SQL, and Python.
• Support the integration of data across databases, warehouses, APIs, ETL processes, middleware, and other enterprise systems.
• Ensure engineering solutions meet performance, reliability, security, compliance, and governance requirements.
• Collaborate with engineers, architects, analysts, and business partners to deliver scalable solutions.
• Contribute to technical design discussions, platform decisions, and continuous improvement initiatives.
• Monitor pipelines for troubleshooting issues related to performance, reliability, and data quality.
• Support system maintainability through effective documentation, testing, source control, and code-quality practices.
• Participate in Agile delivery practices including sprint planning, daily stand-ups, and retrospectives.

Requirements

• Mandatory: 2+ years of experience in data/software engineering or integration; proficiency with Azure/AWS cloud technologies (specifically Databricks, Data Factory); strong SQL/Python skills; Bachelor's degree preferred.
• Preferred: Certifications such as Databricks Certified Data Engineer Associate or Microsoft Certified: Azure Fundamentals; experience with Power BI/Tableau/Matplotlib and Snowflake/GitHub.