Cloud Data Engineer

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This range is provided by GOVX. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

The Cloud Data Engineer is part of a Data team that is responsible for supporting, modernizing, and transforming our data and reporting capabilities across our products by implementing a new modernized data architecture. The position will be responsible for day-to-day data collection, transportation, maintenance/curation, and access to the GOVX corporate data assets. The Cloud Data Engineer will work cross-functionally across the enterprise to centralize data and standardize it for use by business reporting, machine learning, AI, data science, and other stakeholders.

This position plays a critical role in increasing awareness about available data and democratizing access to it across GOVX and our data partners.

This position will be under the supervision of the Business Intelligence Manager.

• Supporting and modernizing existing data integrations.
• Crafting and maintaining efficient data pipeline architecture.
• Assembling large, complex data sets that meet business requirements.
• Create and maintain optimal data pipeline/flow architecture.
• Identifying, crafting, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Partner with business analysts, data scientists, and IT teams to translate business requirements into scalable data solutions using Fabric, Spark, using Delta Lake. Develop Spark notebooks for both batch and streaming ETL pipelines leveraging Delta Lake.
• Implement and optimize Delta Lake features including schema enforcement, schema evolution, and time travel for robust data management. Optimize Delta Lake tables for performance using Z-ordering, compaction, and partitioning strategies.
• Working with the team to strive for clean and meaningful data, and greater functionality and flexibility within the team's data systems.
• Design processes supporting data transformation, data structures, metadata, dependency, and workload management.

• Hands‑on experience developing, debugging, and optimizing Spark notebooks for ETL and analytics in Microsoft Fabric and Azure.
• Deep expertise in Microsoft Fabric, Dataflows Gen2, and Power BI integration.
• Hands‑on experience with Delta Lake table management, including schema evolution, versioning, and data compaction.
• Experience with Data Lakehouse and Medallion Architecture.
• Experience with CI/CD and version control using Git.
• Advanced SQL and No
  
  SQL query authoring;
  Python and Spark scripting.
• Proficiency with object‑oriented/object function scripting languages:
  Python, Spark, etc.
• Proficiency with Metadata‑Driven Design and JSON.
• Experience working with streams such as Event Hubs and event‑driven architectures.
• Experience building, maintaining, and optimizing ‘big data' data pipelines, architectures, and data sets.
• Experience cleaning, testing, and evaluating data quality from a wide variety of ingestible data sources.
• Knowledge of Microsoft Power Platform including Copilot Studio and Power Apps.
• Strong collaboration and communication skills with business and technical teams.

This position has no supervisory responsibilities.

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. This role occasionally must lift and carry the office equipment. Occasional evening, night and weekend shifts are required.

Due to state law and tax implications, remote work candidates must live and work in one of the following states:
California, Texas, Washington, Florida, Tennessee, New York, or Colorado.

• Physical - This is a sedentary role.
• Mental - Problem solving, making decisions, interpreting data, organize, read/write.
• Reasonable accommodation may be made to enable individuals with…