Zion Cloud Solutions
United States
Azure Data Engineer (Contract)
- Bicep
- Infrastructure As Code
- Kafka
- Microsoft Purview
AI Summary
Senior technical role focused on designing, building, and maintaining data pipelines using SQL, ETL, and cloud technologies. Responsible for moving data reliably from source systems into Candid’s data warehouse and lakehouse. Requires 5+ years of experience in database engineering, ETL development, and hands-on cloud platform expertise.
Key Highlights
5+ years of experience in database engineering, data engineering, or ETL development required
Expert-level Transact-SQL and C#/.NET development experience required
Responsibilities include designing, building, and maintaining data pipelines using modern cloud technologies
Key Responsibilities
Architect, develop, and maintain ETL/ELT and C#/.NET pipeline services
Support cloud data platform including Iceberg, DynamoDB, and Trino/Starburst
Monitor data quality and resolve production pipeline issues
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Technical Skills Required
Benefits & Perks
Health insurance (medical, dental, vision)
Retirement contribution with match
Paid leave time (PTO, compassionate leave, volunteer, holiday, parental)
Short-term and long-term disability
Public Service Loan Forgiveness (PSLF) program eligible employer
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Nice to Have
Experience with Apache Airflow
Experience with AWS Lambda and Parquet
Mentorship and review of Associate-level engineers
Job Description
Position Summary
Candid is a nonprofit that provides the most comprehensive data and insights about the social sector. We get you the information you need to do good. Candid currently has an opportunity for a Senior Data Pipeline Engineer. The Senior Data Pipeline Engineer is a senior technical role responsible for the day-to-day development, and delivery of Candid's data pipelines. This role blends deep SQL and ETL engineering expertise with hands-on experience across modern cloud data platform technologies to design, build, and tune pipelines that move data reliably from source systems into Candid's data warehouse and lakehouse.
Responsibilities
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