Data Migration Engineer Mid

Zachary Piper, LLC; Huntsville (AL); On-site; USD 110,000 - 150,000; Full time

Job summary

Zachary Piper, LLC in Huntsville, AL seeks a Mid-Level Data Migration Engineer to support ETL pipelines, data extraction, transformation, and movement for a large federal modernization program. You will work within the Migration Workstream to ensure data integrity and readiness for cloud environments, handling both structured and unstructured data with cross-team collaboration.

Ideal candidates have hands-on data migration experience, familiarity with ETL tools, scripting, and pipeline

Qualifications

• Bachelor’s degree and 4+ years of data migration/ETL experience.
• Experience with structured and unstructured data, mapping, transformation, cleansing, and validation.
• Familiarity with ETL tools, scripting languages, or pipeline automation.
• Strong analytical skills and attention to detail.

Responsibilities

• Support development and operation of ETL workflows for large scale data migration.
• Perform data extraction, transformation, cleansing, normalization, and validation.
• Map data from legacy systems to target schemas and environments.
• Validate source/target environments and test pipeline functionality.
• Maintain migration documentation and contribute to progress reporting.

Skills

ETL

Data Migration

Data Validation

Data Mapping

Scripting

Analytical Skills

Education

Bachelor's degree

Tools

AWS

SQL

Python

CI/CD

Job description

Location:

Huntsville, AL

Position Description:

The Mid-Level Data Migration Engineer to support data extraction, transformation, validation, and movement activities for a large-scale federal modernization program. This role works within the Migration Workstream to support ETL pipelines, data mapping, cleansing, transformation, and operational readiness for transferring high volume datasets from legacy systems into secure cloud environments. The ideal candidate has hands on experience with structured and unstructured datasets, migration tooling, data integrity checks, and cross team data operations.

Primary Responsibilities:

Data Migration & ETL Execution

• Support development and operation of ETL workflows for large scale data migration efforts.
• Execute data extraction, transformation, cleansing, normalization, and validation tasks.
• Conduct detailed data mapping from legacy systems to target schemas and environments.
• Operate within established migration pipelines and support automation improvements.

Data Quality & Validation

• Perform data integrity checks, completeness assessments, and error resolution.
• Support quality assurance activities for migrated datasets, ensuring accuracy and fidelity.
• Assist in documenting data issues, anomalies, and corrective measures.

Technical Collaboration

• Work closely with Senior Data Migration Engineers, Data Engineers, DevSecOps teams, QA engineers, and cloud architects.
• Support migration readiness by validating source/target environments and testing pipeline functionality.
• Participate in technical reviews, test cycles, and data validation checkpoints.

Operational Support & Reporting

• Maintain documentation of migration steps, ETL processes, schemas, and pipeline behaviors.
• Contribute to migration reporting, progress updates, and operational status summaries.
• Identify risks, blockers, and dependency issues impacting migration throughput.

Required qualifications to be successful in this role:

• Must have Active Top Secret Security Clearance, U.S. Citizenship
• Bachelor’s degree and 4+ years of experience supporting data migration, ETL processes, or data engineering workloads.
• Experience with structured/unstructured data, mapping, transformation, cleansing, and validation.
• Familiarity with ETL tools, scripting languages, or pipeline automation methods.
• Strong analytical skills, attention to detail, and ability to work in fast paced technical environments.

Preferred Qualifications:

• Experience with large-scale or multi system migration efforts.
• Hands on experience with cloud-based data pipelines (AWS preferred).
• Exposure to DevSecOps environments, automated testing, or CI/CD pipelines.
• Experience supporting DOJ, FBI, Intelligence Community, or national security programs.