[Remote] Cloud Data Engineer
Note: The job is a remote job and is open to candidates in USA. Dice is hiring a Cloud Data Engineer for a remote contract-to-hire role. The position develops, maintains, tests, and debugs software and data integration solutions, including scalable ETL/ELT processes and cloud-based data pipelines using platforms such as Azure Data Factory, Snowflake, and related technologies.
Responsibilities
- To develop, maintain, test and debug software and data integration solutions to meet generally defined requirements in both traditional and cloud-based environments utilizing software development languages, modern data platforms, and tools such as PL/SQL, Oracle, .Net, Microsoft SQL, Azure Data Factory, Snowflake, and related technologies
- To formulate and define system scope and objectives through research and fact-finding for the purpose of developing or modifying moderately complex information systems and data pipelines
- To prepare detailed specifications from which programs and data processes will be written; and to design, build, test, debug, document and maintain scalable applications and data solutions, including ETL/ELT processes, leveraging modern cloud data platforms
Skills
- Experience with Azure Data Factory (ADF) and ADLS for cloud-based data pipelines and storage
- Strong knowledge of Snowflake architecture (streams, tasks, pipeline processing)
- Experience with data ingestion tools (Fivetran, HVR) and transformation using dbtLabs
- Understanding of batch and near real-time data integration patterns
- Ability to design and support scalable cloud data architecture
- Experience with Git, CI/CD, and Azure DevOps within data engineering workflows
- Experience documenting ETL designs, data mappings, and architecture
- Focus on data integrity, governance, lineage, and production support (monitoring and performance tuning)
- Bachelor's degree preferred
Benefits
- 100% Remote
- Open to Remote
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