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# 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), Agile Methodology, Amazon Web Services, Amazon S3, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Engineering, Information Systems, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Apache Hive, Identity and Access Management, JSON, Python (Programming Language), Operational Databases, Oracle Databases, Cloud Services, Software Engineering, SQL Databases, Data Processing, Data Ingestion, Azure Data Factory, Multi-Cloud, Change Data Capture, Data Lakes, Pyspark, Information Technology, Deployment Automation, AWS Glue, Cloud Migration, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks
- **Published:** October 12, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9235832/data-cloud-engineer

## About the Role

to help build and maintain scalable, cloud-native data platforms that power critical analytics and data-driven decision-making. This role is fully remote and will require extensive experience in data engineering solutions. In this role, you will develop high-performance data pipelines, support multi-cloud data integration initiatives, and contribute to the design of secure, enterprise-scale data architectures. The ideal candidate has experience with Azure and/or AWS, strong proficiency in Python, PySpark, and Spark SQL, and a track record of delivering robust data engineering solutions in complex environments., * Active security clearance required.

 * Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field.
 * 10+ years of experience designing, implementing, and supporting enterprise-scale data engineering and analytics solutions.
 * Strong hands-on experience with Python, SQL, PySpark, and Spark SQL for large-scale data processing.
 * Proven experience building and maintaining cloud-native data platforms using technologies such as Azure Synapse, Databricks, AWS Glue, or similar tools.
 * Experience developing data ingestion, integration, and transformation solutions for both structured and unstructured data sources.
 * Solid understanding of change data capture (CDC), incremental processing, and modern data loading methodologies.
 * Knowledge of data governance, data quality, security controls, and access management best practices.
 * Experience supporting production data environments, troubleshooting complex issues, and optimizing performance and reliability., * 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

* Build, enhance, and support scalable cloud-based data integration and processing pipelines across AWS and Azure technologies
 * Develop high-performance data transformation workflows using PySpark, Spark SQL, and modern big data technologies.
 * Create data ingestion solutions for a variety of sources, including databases, APIs, JSON, and file based systems.
 * Design and implement efficient full-load, incremental, and change-tracking data processing strategies.
 * Support the architecture and operation of enterprise-scale data lakes, warehouses, and analytics platforms.
 * Contribute to automated deployment processes and CI/CD best practices to streamline development and operations.
 * Partner with cross-functional teams, including engineering, security, operations, and application development, to deliver modern data solutions.
 * Ensure platforms and processes align with organizational security, compliance, and operational standards.