Data Migration Engineer – Mid
About The Position
At @Orchard, we are seeking a Mid-Level Data Migration Engineer to support data extraction, transformation, validation, and movement activities for a large-scale federal modernization program. This role is part of the Migration Workstream and focuses on ETL pipelines, data mapping, cleansing, transformation, and operational readiness for transferring high-volume datasets from legacy systems into secure cloud environments. The ideal candidate will have hands-on experience with structured and unstructured datasets, migration tooling, data integrity checks, and cross-team data operations. This is a significant opportunity to contribute to a high-impact National Security mission while gaining practical experience with advanced technology.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- Support the 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.
- 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.
- 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.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
