Remote Data Cloud Engineer — Secret Clearance

Piper Companies; Virginia; Hybrid; USD 120,000 - 140,000; Full time

Benefits offered by this job

PTO

Paid Holidays

Medical

Dental

Vision

401K

Sick Leave

Job summary

Zachary Piper Solutions is seeking a Data Cloud Engineer to support a Department of Defense cloud modernization and enterprise data transformation initiative. This is a fully remote role with responsibilities across Azure and AWS, designing secure, scalable data solutions.

You will work on ETL/ELT pipelines, data ingestion, governance, and collaboration with cloud, cybersecurity, DevOps, and software engineering teams to maintain production data environments.

Qualifications

• 10+ years of experience designing and supporting enterprise-scale data engineering and cloud data solutions.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field
• Active Secret Clearance

Responsibilities

• 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.

Skills

PySpark

Spark SQL

Python

SQL

Azure Synapse Analytics

Databricks

AWS Glue

Active Secret Clearance

Education

Bachelor's degree in Computer Science or related field

Tools

Azure

AWS

Job description

Zachary Piper Solutions is seeking a Data Cloud Engineer to support a Department of Defense cloud modernization and enterprise data transformation initiative. This is a fully remote role with responsibilities across Azure and AWS, designing secure, scalable data solutions.

You will work on ETL/ELT pipelines, data ingestion, governance, and collaboration with cloud, cybersecurity, DevOps, and software engineering teams to maintain production data environments.