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# Data Cloud Engineer (Remote)

- **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), Agile Methodology, Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, Cloud Database, Cloud Engineering, Cyber Security, Information Systems, Continuous Integration, Data Governance, Extract Transform Load (ETL), Data Warehousing, Relational Databases, DevOps, Apache Hive, JSON, Python (Programming Language), Oracle Databases, Role-Based Access Control, Cloud Services, Software Engineering, SQL Databases, Unstructured Data, Data Ingestion, Azure Data Factory, Change Data Capture, SC Clearance, Pyspark, Information Technology, Data Lineage, Deployment Automation, AWS Glue, Cloud Migration, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks
- **Published:** October 15, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9236003/data-cloud-engineer-remote

## About the Role

* Active Secret Clearance.
 * Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related technical discipline.
 * 10+ years of experience designing and supporting enterprise-scale data engineering solutions.
 * Strong expertise with PySpark, Spark SQL, Python, and SQL.
 * Experience building cloud-native data pipelines in Azure Synapse Analytics, Databricks, and/or AWS Glue.
 * Experience with data ingestion, integration, and transformation of structured and unstructured data.
 * Experience implementing CDC methodologies and incremental load frameworks.
 * Knowledge of data governance, access controls, and data quality methodologies.
 * Experience supporting production environments and troubleshooting operational issues.

Preferred Qualifications

 * Experience with Azure Data Factory, Redshift, Amazon S3, and Oracle databases.
 * Experience supporting federal or DoD cloud modernization programs.
 * Familiarity with RMF, STIG, and FedRAMP compliance frameworks.
 * Experience working in Agile development environments.

## Description

* Design, develop, and maintain scalable cloud-based ETL/ELT pipelines using Azure and AWS technologies.
 * Build and optimize large-scale data transformation solutions utilizing PySpark and Spark SQL.
 * Develop ingestion frameworks supporting structured and unstructured data sources, including relational databases, APIs, JSON, and flat files.
 * Implement full and incremental data loading strategies, including Change Data Capture (CDC).
 * Design and support enterprise data lakes, data warehouses, and analytics-ready environments.
 * Establish data quality, governance, and security controls including schema validation, RBAC, lineage tracking, and credential management.
 * Monitor, troubleshoot, and improve the performance and reliability of cloud data pipelines.
 * Support CI/CD implementation and automated deployment processes.
 * Partner closely with cloud engineering, cybersecurity, DevOps, and software development teams to support modernization initiatives.
 * Ensure solutions remain compliant with DoD security requirements and best practices.