Data Cloud Engineer

Zachary Piper Solutions; Maryland; Hybrid; USD 120,000 - 140,000; Full time

Benefits offered by this job

PTO

Paid Holidays

Medical

Dental

Vision

401K

Tuition Reimbursement

Sick Leave

Job summary

Zachary Piper Solutions seeks a Data Cloud Engineer to support a federal defense modernization program focused on enterprise data integration and cloud transformation in secure DoD environments.

The role is remote with EST hours and requires 10+ years building production cloud data pipelines using Azure Synapse, Databricks, AWS Glue, and Redshift. Active Secret clearance is required.

Qualifications

• 10+ years of experience designing, developing, and supporting production‑grade cloud data pipelines.
• Active Secret Security Clearance required.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical field

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse Analytics, Databricks, AWS Glue, and related cloud technologies.
• Build and optimize large‑scale data transformation processes utilizing PySpark, Spark SQL, Python, and cloud‑native data services.
• Develop ingestion frameworks supporting structured and unstructured data sources including databases, flat files, JSON, and REST APIs.
• Implement data governance, quality, security, and monitoring processes including schema validation, RBAC, lineage tracking, logging, and alerting.
• Support CI/CD implementation, cloud migration efforts, and collaboration with cybersecurity, DevOps, and engineering teams to ensure compliance with DoD security requirements

Skills

Cloud data pipelines

Data integration

ETL/ELT design

CI/CD

Security compliance

Education

Bachelor's degree in CS/DS/Engineering

Tools

Azure Synapse Analytics

Azure Data Factory

Databricks

AWS Glue

Redshift

Spark

PySpark

Spark SQL

Python

SQL

Job description

Zachary Piper Solutions is seeking a Data Cloud Engineer to support a federal defense modernization program focused on enterprise data integration, cloud transformation, and advanced analytics within secure Department of Defense environments. This position is remote, working EST hours. The Data Cloud Engineer will design, develop, and maintain scalable cloud-based data solutions that support mission-critical analytics and enterprise modernization initiatives.

Responsibilities for the Data Cloud Engineer include

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse Analytics, Databricks, AWS Glue, and related cloud technologies
• Build and optimize large-scale data transformation processes utilizing PySpark, Spark SQL, Python, and cloud-native data services
• Develop ingestion frameworks supporting structured and unstructured data sources including databases, flat files, JSON, and REST APIs
• Implement data governance, quality, security, and monitoring processes including schema validation, RBAC, lineage tracking, logging, and alerting
• Support CI/CD implementation, cloud migration efforts, and collaboration with cybersecurity, DevOps, and engineering teams to ensure compliance with DoD security requirements

Required Qualifications for the Data Cloud Engineer include

• 10+ years of experience designing, developing, and supporting production-grade cloud data pipelines
• Hands‑on experience with Azure Synapse Analytics, Azure Data Factory, Databricks, AWS Glue, Redshift, Spark, PySpark, Spark SQL, Python, and SQL
• Experience implementing CDC, incremental loading strategies, data quality controls, schema management, CI/CD pipelines, and cloud-based data architectures
• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical field
• Active Secret Security Clearance required

Compensation for the Data Cloud Engineer include:

Salary Range: $120,000 - $140,000 depending on experience

Full Benefits Package: PTO, Paid Holidays, Medical, Dental, Vision, 401K, Tuition Reimbursement, Sick Leave as required by law