Data Engineer Ledgent Technology - 3.9 Aurora, CO Job Details Full-time $70,000 - $90,000 a year 18 hours ago Qualifications Cloud data warehouses Snowflake SQL ETL process automation Azure Data Factory SSIS Query management

Full Job Description Title:

Data Engineer Type:

Direct Hire Location:

Greenwood Village, CO 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 C# development Data quality assurance and testing Data warehousing concepts Reporting and analytics support All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.