Senior Data Migration Engineer

🕒 September 11

🇺🇸 United States – Remote

💵 $122.3k - $165.4k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 38%

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• Plan, coordinate, and oversee enterprise data migration, conversion, and archival efforts • Develop migration strategies, schedules, dependencies, and execution procedures • Build and maintain migration scripts, SQL, and ETL/ELT pipelines for legacy-to-cloud data transfers • Execute extraction, transformation, loading, and post-load validation activities • Perform data profiling, cleansing, mapping, and transformation • Define source-to-target mappings • Validate migrated data through reconciliation, completeness checks, and QA testing • Manage cutover activities, including pre-checks, execution, validation, and sign-off • Automate data reconciliation and validation processes • Support migration testing, mock runs, rehearsals, cutovers, and rollback procedures • Design and implement data archival processes aligned with retention and governance standards • Troubleshoot and resolve migration issues and discrepancies • Document migration procedures, mappings, and runbooks • Collaborate with governance, quality, business, DBA, platform engineering, architecture, application, and data teams • Tune migration jobs to maximize throughput and minimize downtime • Participate in planning, risk assessments, and rollback strategy development • Maintain migration logs, issue registers, execution reports, runbooks, and operational procedures • Support archival, retention, production cutover, and post-migration stabilization activities • Optimize migration performance for large-scale, high-volume datasets • Ensure compliance with security, privacy, classification, retention, and governance requirements • Manage and optimize cloud data platforms, including account setup, configuration, scaling, performance tuning, and warehouse/lakehouse operations • Govern databases, schemas, roles, and RBAC according to security, IAM, and compliance policies • Monitor and troubleshoot pipelines, queries, concurrency, and resource utilization • Implement cost-optimization strategies and support financial reporting, forecasting, and TCO analysis • Automate and document provisioning, access management, data loading, and monitoring using Terraform, dbt, SQL, Python, or similar tools • Design efficient data models and optimize ELT workflows • Support security audits, ATO artifacts, incident response, disaster recovery/high availability testing, and operational runbooks • Contribute to continuous improvement and automation of migration processes

🎯 Requirements

• 5+ years of related experience • 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 • Experience with Informatica, Talend, AWS DMS, and ADF • Proficiency in Python, Bash, SQL, and migration automation • Expertise in AWS data migration services, cloud-native data platforms, and hybrid cloud environments • Preferred hands-on experience with Snowflake, Databricks, Redshift, SQL Server, Oracle, PostgreSQL, and large-scale analytical workloads • Strong SQL performance tuning, query optimization, indexing, partitioning, and execution-plan analysis • Proficiency with Terraform, dbt, IaC, and automation frameworks • Experience with CI/CD, GitOps, DevSecOps, and enterprise build/release pipelines • Experience troubleshooting complex migration issues under tight cutover windows • Experience with containerized application workflows and cloud platform operations • Familiarity with FedRAMP, NIST, and JISF • Experience with log/metric analysis and cloud performance tuning • Preferred experience supporting Federal Government programs or regulated environments • Experience with FinOps, cost modeling, and cloud optimization • Preferred experience optimizing large-scale analytical workloads • Preferred certifications: CDMP, Snowflake SnowPro Advanced, Databricks Certified Data Professional, AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect - Professional, AWS Certified Data Engineer, Docker Certified Associate, Certified Kubernetes Administrator, Certified Professional DevSecOps Certification Course, ITIL, AWS SysOps, or Google Cloud DevOps Engineer • US citizenship is not required • No security clearance is required

🏖️ Benefits

• Medical plan options, some with Health Savings Accounts • Dental plan options • Vision plan • 401(k) plan with pre- and post-tax contributions and company match • Full flex work weeks where possible • Vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave • Typically 15 days of paid leave per calendar year • 10 paid holidays per year • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • Identity verification process with advanced biometrics and artificial intelligence

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