Data Engineer - Snowflake & Azure
Children's Hospital Association•Lenexa, KS
•Hybrid
About The Position
The Data Engineer will support the design, development, testing, and maintenance of Snowflake and Azure-based data platforms, including data lakes, SQL databases, and data warehouse solutions. This role contributes to new development initiatives and ongoing operational support while helping deliver reliable, scalable, and high-performing data solutions.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or an equivalent combination of education and experience.
- 3+ years of experience designing, developing, and supporting enterprise data platforms with a strong focus on Snowflake.
- Experience building and maintaining data integration and ETL/ELT solutions using Snowflake, Azure Data Factory, DBT, SSIS, or similar technologies.
- Experience delivering cloud-based data solutions and working within modern data warehousing or lakehouse environments.
- Strong SQL skills and experience with Snowflake data platform development and optimization.
- Experience with source control and CI/CD tools such as Azure DevOps or Git.
- Strong analytical, problem-solving, communication, and collaboration skills.
Responsibilities
- Develop, optimize, and maintain Snowflake databases, data models, and cloud-based data pipelines.
- Design, develop, and support ETL/ELT processes using Snowflake and related data integration technologies.
- Build and maintain secure, reliable, and scalable data solutions that support reporting, analytics, and operational needs.
- Automate data ingestion, validation, transformation, and monitoring processes to improve efficiency and data quality.
- Support Snowflake platform performance, security, governance, and operational initiatives.
- Prepare and validate data assets to support reporting, analytics, and self-service data consumption.
- Participate in code reviews, testing, troubleshooting, and continuous improvement efforts across data platforms and solutions.
- Monitor production data processes, diagnose issues, and resolve failures, performance concerns, and data inconsistencies.
- Partner with business and technical stakeholders to support data quality initiatives and ensure reliable, accurate data.
Benefits
- Medical, dental and vision insurance
- Retirement Savings program with generous company contribution
- Hybrid working model
- Health Savings Account with company contribution
- Wellness program
- Paid time off and personal days
- 9 paid holidays
- Paid Parental Leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
