Data Cloud Engineer

Zachary Piper Solutions; McLean, Northern (VA, KY); Hybrid; USD 120,000 - 140,000; Full time

Benefits offered by this job

PTO

Paid Holidays

Medical Insurance

Dental Insurance

Vision Insurance

401K

Sick Leave

Job summary

Zachary Piper Solutions is seeking a Data Cloud Engineer to support a DoD cloud modernization and enterprise data transformation initiatives. This position is fully remote.

You will design, develop, and optimize secure, scalable cloud-based data solutions across Azure and AWS, enabling advanced analytics and decision-making for national defense objectives. The role requires 10+ years in enterprise data engineering, expertise in PySpark, Spark SQL, Python, SQL, and experience with Azure Synapse

Qualifications

• Bachelor's degree in a related technical field.
• Active Secret Clearance.
• 10+ years of enterprise data engineering and cloud experience.
• Proficient with PySpark, Spark SQL, Python and SQL.
• Experience with Azure Synapse Analytics, Databricks or AWS Glue.

Responsibilities

• Design, develop, and maintain cloud-based ETL/ELT pipelines on Azure and AWS.
• Build large-scale data transformation solutions using PySpark and SQL.
• Develop data ingestion for structured and unstructured sources.
• Implement data governance, security controls, RBAC, data quality, and CDC.
• Collaborate with cloud, cybersecurity, DevOps, and software teams on modernization.

Skills

10+ years experience

Data engineering

Cloud modernization

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field

Tools

PySpark

Spark SQL

Python

SQL

Azure Synapse Analytics

Databricks

AWS Glue

Job description

Zachary Piper Solutions is seeking a Data Cloud Engineer to support a company focused on Department of Defense cloud modernization and enterprise data transformation initiatives. This position is fully remote. The Data Cloud Engineer will design, develop, and optimize secure, scalable cloud-based data solutions across Azure and AWS environments. Join a mission-critical program that enables advanced analytics and decision-making capabilities supporting national defense objectives.

Responsibilities for the Data Cloud Engineer include:

• 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

Required Qualifications for the Data Cloud Engineer include:

• 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

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, Sick Leave as required by law