Senior Data Migration Engineer

General Dynamics

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $111,155–$150,385 / yr
Posted: 4 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $167k

This role $131k

$100k most similar roles pay here $214k

This role pays less than 75% of similar roles. Most pay $130,332–$203,046 — the shaded band above. At the midpoint, this role pays about $131k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 1181 open roles on FindRole.

Listed pay typically runs $120,700–$150,385 across 1016 roles with salary data.

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At a glance

TL;DR · Senior Data Migration Engineer

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The Senior Data Migration Engineer joins the CMM Data Modernization and Governance team to support the Case Management Modernization program. This role involves planning, coordinating, and executing enterprise data migration, conversion, and archival activities for a modern cloud-based solution supporting federal courts. The engineer will develop migration scripts and pipelines, perform data profiling and mapping, execute extraction, transformation, and loading activities, and validate migrated data to ensure secure transitions between source and target platforms. Key technical requirements include proficiency in Python, Bash, SQL, Terraform, dbt, and Informatica or Talend. Experience with AWS migration services, Snowflake, Databricks, Redshift, and various relational databases is essential. The role addresses the challenge of migrating large-scale legacy data to cloud environments while ensuring compliance with security, privacy, and governance standards within a complex federal infrastructure.

Skills

ETL ELT SQL Python Bash AWS Snowflake Databricks Redshift PostgreSQL Oracle SQL Server Terraform dbt CI/CD GitOps DevSecOps Docker Kubernetes Informatica Talend

What you'll do

Plan, coordinate, and oversee enterprise data migration, conversion, and archival activities for cloud platforms.
Develop migration strategies, schedules, dependencies, and execution procedures for legacy-to-cloud transitions.
Build and maintain migration scripts, SQL queries, and ETL/ELT pipelines to move large datasets.
Perform data profiling, cleansing, mapping, and transformation while defining source-to-target mappings.
Validate migrated data through automated reconciliation, completeness checks, and quality assurance testing.
Manage cutover activities including pre-checks, execution, validation, and post-migration stabilization.
Design and implement data archival processes aligned with retention and governance standards.
Automate infrastructure provisioning and monitoring using tools like Terraform, dbt, Python, and SQL.

What we're looking for

MA/MS degree with 5+ years or BS/BA degree with 7+ years of general experience in information systems and 5+ years of specialized experience.
Strong data engineering and architecture background with deep ETL/ELT and migration experience using Informatica, Talend, AWS DMS, or ADF.
Skilled in Python, Bash, SQL, and automation for migration scripts, validation, and reconciliation.
Expertise in AWS data migration services, cloud-native data platforms, and hybrid cloud environments.
Proficiency with Terraform, dbt, IaC, and automation frameworks supporting scalable migrations.
Experience with CI/CD, GitOps, DevSecOps, and enterprise build/release pipelines.
Familiarity with federal security, compliance, and governance frameworks such as FedRAMP, NIST, and JISF.
Preferred: experience with Snowflake, Databricks, Redshift, SQL Server, Oracle, PostgreSQL, or large-scale analytical workloads (preferred).

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