Data Engineer

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

Salary: USD70000 - USD90000 per year

Type: Direct Hire

Pay: $70,000 - $90,000

Position Overview

We are seeking a motivated Data Engineer to join a growing team focused on delivering high-quality data solutions. This role is ideal for an early-career professional who enjoys working with data, cloud technologies, and ETL processes. You will support data integration efforts, assist with pipeline development, perform data analysis, and help ensure the accuracy and reliability of critical datasets used throughout the organization.

Key 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.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent professional experience.
• Experience writing and troubleshooting SQL queries.
• Knowledge of Azure data technologies, including Azure SQL and Azure Data Factory.
• Experience working with or exposure to 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.

Preferred Qualifications

• Hands-on experience building and supporting data pipelines.
• Experience validating and reconciling large datasets.
• Understanding of database design and data integration best practices.
• Exposure to cloud-based data platforms and modern data architecture.

Nice-to-Have Skills

• Python programming
• Data quality assurance and testing
• Data warehousing concepts
• Reporting and analytics support