Azure Data Engineer: ETL, Snowflake & Data Pipelines

Ledgent Technology; Aurora (CO); On-site; USD 70,000 - 90,000; Full time

Job summary

Ledgent Technology is seeking a Data Engineer to join a growing team delivering high-quality data solutions in Azure environments. This early-career role focuses on ETL development, data integration, and pipeline support.

You will work with Azure Data Factory, SSIS, SQL, and Snowflake to ensure data accuracy and reliability across critical datasets. Strong communication and multitasking are essential in a fast-paced setting.

Qualifications

• Bachelor's degree in CS/IS/Data Analytics or equivalent experience.
• Experience writing and troubleshooting SQL queries.
• Knowledge of Azure data technologies including Azure SQL and Azure Data Factory.
• Experience with Snowflake.
• Familiarity with SSIS and ETL concepts.
• Strong analytical and problem-solving skills.
• Ability to manage multiple tasks in a fast-paced environment.
• Strong written and verbal communication skills.

Responsibilities

• Design, develop, and support data workflows within Azure-based environments.
• Create and maintain ETL processes using Azure Data Factory and SSIS.
• Develop SQL queries to extract, analyze, and validate data.
• Compare datasets, identify discrepancies, and troubleshoot data-related issues.
• Support data loading activities within Snowflake and other database platforms.
• Monitor data quality and perform validation checks to ensure accuracy.
• Collaborate with team members to resolve data challenges and improve processes.
• Document technical solutions, workflows, and operational procedures.
• Assist with ongoing enhancements to data infrastructure and integrations.

Skills

SQL

Analytical thinking

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory

SSIS

Snowflake

Azure SQL

Job description

Ledgent Technology is seeking a Data Engineer to join a growing team delivering high-quality data solutions in Azure environments. This early-career role focuses on ETL development, data integration, and pipeline support.

You will work with Azure Data Factory, SSIS, SQL, and Snowflake to ensure data accuracy and reliability across critical datasets. Strong communication and multitasking are essential in a fast-paced setting.