Data Engineer
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Job Description
Data Engineer designing and building scalable cloud-based data solutions for Youth Villages' reporting and analytics. Collaborating with stakeholders to optimize data processes and support governance initiatives.
Responsibilities:
- Builds scalable and robust cloud-based data solutions that can adapt over time to changing business and source system requirements
- Designs, develops, and maintains ELT/ETL pipelines using modern cloud technologies and data integration platforms
- Develops and optimizes data ingestion and transformation processes using tools such as Snowflake, SQL Server, MySQL, Fivetran, Coalesce and Github
- Maintains and improves enterprise data warehouse structures, curated datasets, and transformation logic for reporting and analytics
- Optimizes SQL queries and warehouse performance for accuracy, scalability, and efficiency
- Collaborates with business and technical teams to gather requirements and translate them into technical solutions
- Monitors, troubleshoots, and improves data workflows and production data processes
- Supports data governance initiatives including metadata management, lineage tracking, documentation, and data quality validation
- Diagrams and documents data flows, integrations, schemas, and transformation logic across enterprise systems
- Supports Tableau reporting initiatives by delivering validated and high-quality datasets for dashboards and analytics
- Participates in Agile development processes including sprint planning, estimation, backlog grooming, and release activities
- Ensures secure and compliant handling of sensitive organizational PHI data
- Performs other duties as assigned
Requirements:
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Analytics, or related field (preferred)
- Experience developing and implementing ETL/ELT processes and enterprise data solutions (required)
- Experience with Snowflake, SQL Server, MySQL, Fivetran, Coalesce, and Github (preferred)
- Experience with JIRA or similar tools (preferred)
- Strong SQL development and query optimization experience
- Experience working in Agile development environments
- Knowledge of data warehousing concepts and data governance best practices
- Strong organizational skills and attention to detail
- Excellent written, verbal, and oral skills
- Ability to manage multiple priorities simultaneously
- Ability to maintain a flexible schedule
Benefits:
- Medical, Dental, Prescription Drug Coverage and Vision
- 401(k)
- Time off: 2 week paid vacation (full-time) / 1 week paid vacation (part-time)
- 12 paid sick days per year
- 11 paid holidays
- Paid Parental Leave
- Mileage & Cell Phone Reimbursement (when applicable)
- Tuition reimbursement and licensure supervision
- Growth & development through continuous training
- Clinical and administrative advancement opportunities
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