
10.000+ funcionários
Fundada em 1954
💼 Consultoria
🏥 Saúde
📦 Logística
Consulting • Healthcare • Logistics
A General Dynamics Information Technology é uma empresa na vanguarda da inovação tecnológica, oferecendo uma ampla gama de serviços, incluindo consultoria, modernização digital e serviços de aplicações. A empresa atua fortemente na implementação de soluções relacionadas a Inteligência Artificial (IA), Cloud Computing, Cybersecurity, High-Performance Computing (HPC) e tecnologias quânticas. A GDIT é comprometida em apoiar os setores governamental e de defesa, fornecendo serviços críticos para a missão, como logística e gestão da cadeia de suprimentos, inteligência e segurança interna. A empresa também prioriza práticas de contratação diversas e inclusivas e promove ativamente o bem-estar dos colaboradores. Por meio de suas soluções de aceleração digital e do uso pioneiro de tecnologias emergentes, a GDIT busca impulsionar as missões das agências e enfrentar desafios tecnológicos complexos.
🕒 Setembro 11
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $111.155 - $150.385 / ano
⏰ Tempo Integral
🟠 Sênior
🚰 Engenheiro de Dados
🦅 Patrocina Visto H1B
👻 Score fantasma 17%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

10.000+ funcionários
Fundada em 1954
💼 Consultoria
🏥 Saúde
📦 Logística
Consulting • Healthcare • Logistics
A General Dynamics Information Technology é uma empresa na vanguarda da inovação tecnológica, oferecendo uma ampla gama de serviços, incluindo consultoria, modernização digital e serviços de aplicações. A empresa atua fortemente na implementação de soluções relacionadas a Inteligência Artificial (IA), Cloud Computing, Cybersecurity, High-Performance Computing (HPC) e tecnologias quânticas. A GDIT é comprometida em apoiar os setores governamental e de defesa, fornecendo serviços críticos para a missão, como logística e gestão da cadeia de suprimentos, inteligência e segurança interna. A empresa também prioriza práticas de contratação diversas e inclusivas e promove ativamente o bem-estar dos colaboradores. Por meio de suas soluções de aceleração digital e do uso pioneiro de tecnologias emergentes, a GDIT busca impulsionar as missões das agências e enfrentar desafios tecnológicos complexos.
• 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 governance teams • Tune migration jobs and optimize migration performance for large-scale, high-volume datasets • Ensure compliance with security, privacy, classification, retention, and governance requirements • Maintain migration logs, issue registers, execution reports, runbooks, and operational procedures • Support production cutovers and post-migration stabilization • Contribute to continuous improvement and automation of migration processes • 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 for uptime and cost efficiency • 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 • Partner with data engineers, BI teams, and architects to design efficient data models and optimize ELT workflows • Support security audits, ATO artifacts, incident response, disaster recovery/high availability testing, and operational runbooks
• MA/MS degree with 5+ years of general experience in information systems and 5+ years of specialized experience, 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 with containerized application workflows and cloud platform operations • Familiarity with FedRAMP, NIST, and JISF frameworks • 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: Certified Data Management Professional (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 • Clearance is not required
• Medical plan options, including plans with Health Savings Accounts • Dental plan options • Vision plan • 401(k) plan with pre-tax and post-tax contributions and company match • Full flex work weeks where possible • Vacation, sick, and personal time • Paid holidays • Paid parental leave • Military leave • Bereavement leave • Jury duty leave • Typically 15 days of paid leave per calendar year • Typically 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
Candidatar-se🕒 Setembro 11
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🇺🇸 Estados Unidos – Remoto (EUA)
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💰 $1.500.000.000 Post-IPO Equity - Hewlett Packard Enterprise em 2025-04
⏰ Tempo Integral
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🚰 Engenheiro de Dados
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
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🇺🇸 Estados Unidos – Remoto (EUA)
💵 $136.500 - $276.500 / ano
💰 $1.500.000.000 Post-IPO Equity - Hewlett Packard Enterprise em 2025-04
⏰ Tempo Integral
🟠 Sênior
🚰 Engenheiro de Dados
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório