> Markdown version of [/jobs/ext/4394678-data-cloud-engineer](https://www.wearedevelopers.com/jobs/ext/4394678-data-cloud-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Cloud Engineer - **Company:** Zachary Piper - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $120,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Big Data, Cloud Database, Cloud Engineering, Cyber Security, Information Systems, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), DevOps, Apache Hive, JSON, Python (Programming Language), Operational Databases, Role-Based Access Control, Standard Sql, Software Engineering, SQL Databases, Data Ingestion, Change Data Capture, SC Clearance, Pyspark, Information Technology, AWS Glue, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** October 8, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9227459/data-cloud-engineer ## About the Role * 10+ years of experience designing and supporting enterprise-scale data engineering and cloud data solutions * Strong expertise with PySpark, Spark SQL, Python, SQL, Azure Synapse Analytics, Databricks, and/or AWS Glue * Experience developing cloud-native ETL/ELT pipelines, implementing CDC frameworks, and supporting data governance and security requirements * Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field * Active Secret Clearance ## Description * Design, develop, and maintain cloud-based ETL/ELT pipelines utilizing Azure and AWS technologies * Build and optimize large-scale data transformation solutions using PySpark, Spark SQL, Python, and SQL * Develop data ingestion frameworks supporting structured and unstructured data sources, including APIs, databases, JSON, and flat files * Implement data governance, security controls, RBAC, data quality standards, and Change Data Capture (CDC) processes * Collaborate with cloud, cybersecurity, DevOps, and software engineering teams to support enterprise modernization efforts and maintain production data environments