Sr. Data Migration Engineer (Top Secret)

Piper Companies; Quantico (VA); On-site; USD 155,000 - 175,000; Full time

Job summary

Zachary Piper Solutions is seeking a Senior Data Migration Engineer to design and operate large-scale ETL/ELT pipelines for a high-profile FBI migration project in Huntsville, AL or Quantico, VA. The role is 100% onsite in these locations, with collaboration across Cloud Engineers, DBAs, and DevSecOps to ensure successful migrations.

The position requires 8+ years of data engineering and ETL experience, a Top Secret clearance, and strong proficiency in Python, SQL, and cloud data platforms.

Qualifications

• Bachelor’s degree in a related discipline with 8+ years of data engineering and ETL experience.
• Active Top Secret clearance.
• Experience architecting and operating large-scale data migration pipelines in AWS or similar cloud.
• Proficient in Python, PowerShell, Bash and high-volume data processing.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for large-scale data migrations.
• Build and optimize extraction, transformation, and loading processes for structured and unstructured data sources.
• Develop automated workflows maximizing performance, reliability, and error recovery.
• Collaborate with Cloud Engineers, Data Engineers, DevSecOps, DBAs, QA/Test Engineers, and Product Owners to support migration objectives.
• Develop and maintain technical documentation including data mappings and workflow diagrams.

Skills

ETL development

Data engineering

Large-scale migrations

Security clearance

Education

Bachelor’s degree in a related discipline

Tools

Python

PowerShell

Bash

AWS

Azure

SQL

T-SQL

Databricks

Apache Spark

Hadoop

Kafka

Job description

Location: Huntsville, AL or Quantico, VA (100% onsite)

Zachary Piper Solutions is seeking a Senior Data Migration Engineer to support a data migration project for the FBI in Huntsville, AL or Quantico, VA. The team is seeking an engineer with expertise architecting, operating, validating, and optimizing data migration pipelines for a critical project. Details below:

This job opens for applications on 11/9/2026. Applications for this job will be accepted for at least 30 days from the posting date

Responsibilities of the Data Migration Engineer:

• Design, develop, and maintain scalable ETL/ELT pipelines to support large-scale data migration initiatives.
• Build and optimize extraction, transformation, and loading processes for structured and unstructured data sources.
• Develop automated workflows that maximize performance, reliability, scalability, and error recovery.
• Ensure pipeline architectures align with cloud modernization strategies and landing zone standards.
• Collaborate with Cloud Engineers, Data Engineers, DevSecOps teams, DBAs, QA/Test Engineers, and Product Owners to support migration objectives.
• Ensure seamless integration of ETL processes with cloud infrastructure, data models, monitoring platforms, and downstream applications.
• Develop and maintain technical documentation, including data mappings, workflow diagrams, transformation specifications, SOPs, and issue logs.

Qualifications of the Data Migration Engineer:

• Bachelor’s degree in a related discipline and 8+ years of data engineering, ETL development, and large scale migrations
• Active Top Secret clearance
• Strong experience with ETL tools, automation frameworks (Python, Powershell, Bash), and high volume data pipelines.
• Experience with legacy system extraction, cloud ingestion, and multi format data transformation
• Ability to operate in a fast past environment
• Experience operating ETL pipelines within AWS or other cloud environment

Compensation of the Data Migration Engineer:

• Total compensation based on experience level - $155,000-$175,000+ **based on experience level and total years of experience**
• Full Benefits: PTO/Holidays, Medical, Dental, and Vision, 401k
• Brand-new, long term contract

#LI-MK1 #LI-Onsite

Keywords: Data Engineering, ETL Development, ELT Architecture, Data Pipelines, Data Integration, Data Migration, Data Warehousing, Data Modeling, Data Transformation, Data Validation, Data Quality Management, Data Governance, Big Data, Cloud Data Platforms, Azure Data Factory (ADF), Azure Synapse Analytics, Microsoft Fabric, Top secret, ts/sci, polygraph, Federal, Intelligence, Government, W2, opentowork, hiring, Apache, NIFI, python, ansible, terraform, Databricks, Apache Spark, Hadoop, Kafka, Snowflake, AWS Glue, Amazon Redshift, Google BigQuery, SQL, T-SQL, Python, PySpark, Scala, API Integration, REST APIs, Batch Processing, Real-Time Data Processing, Streaming Data, CI/CD Pipelines, DevOps, DevSecOps, Workflow Automation, Performance Tuning, Query Optimization, Data Lake Architecture, Data Lakehouse, Metadata Management, Master Data Management (MDM), Database Administration, Relational Databases, NoSQL Databases, Data Security, Data Encryption, Monitoring and Alerting, Root Cause Analysis, Troubleshooting, Error Handling, Scalability, High Availability, Migration Planning, Cloud Modernization, Data Reconciliation, Data Lineage, Data Mapping, Change Data Capture (CDC), Agile Methodologies, Scrum, Technical Documentation, Cross-Functional Collaboration, Business Intelligence, Power BI, Reporting and Analytics, Machine Learning Data Preparation, Infrastructure as Code (IaC), Terraform, Git, Version Control, Kubernetes, Docker, Enterprise Data Solutions.