Senior Data/ETL Engineer

Vaga não está no LinkedIn

🕒 Ontem

🌽 Illinois – Remoto

🌽 Illinois – Remote

⏰ Tempo Integral

🟠 Sênior

📊 Engenheiro de Analytics

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 25%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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DecisionPoint Corporation

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2011

🎖️ Defesa

💼 Consultoria

📦 Logística

Defense • Consulting • Logistics

A DecisionPoint Corporation é uma Pequena Empresa de Propriedade de Veteranos com Deficiência em Serviço, especializada em modernização de TI e transformação digital para agências governamentais. Eles oferecem serviços abrangentes, incluindo cibersegurança, TI para saúde e soluções de automação inteligente, visando melhorar a eficiência e a eficácia operacional, ao mesmo tempo em que garantem uma migração segura para a nuvem. Sua abordagem de Centros de Excelência impulsiona o sucesso da missão, abordando os desafios mais urgentes enfrentados por entidades governamentais por meio de tecnologia inovadora e suporte especializado.

Descrição

• Sustain, troubleshoot, and optimize SSIS packages, configurations, schedules, and dependencies • Develop and maintain approved integrations between source systems, databases, APIs, analytical environments, and reporting platforms • Write SQL queries, stored procedures, transformations, and reconciliation routines • Develop Python scripts for data ingestion, processing, validation, orchestration, and operational automation • Implement raw, standardized, and curated data layers with documented transformation rules • Build and maintain incremental loads, including checkpoints and tracking of previously processed data • Implement API authentication, pagination, retry handling, logging, and error processing • Reconcile source and target data using record counts, totals, completeness checks, and business rules • Manage schema changes and assess their effects on pipelines, datasets, integrations, and reporting outputs • Maintain source-to-target mappings, identifier mappings, metadata, and data lineage • Implement controls for duplicate, missing, invalid, or failed records and support controlled reprocessing • Monitor pipeline execution, data freshness, processing performance, and operational errors • Investigate complex failures involving SSIS, SQL, APIs, source data, transformations, and downstream dependencies • Implement approved corrections and validate successful processing and reconciliation • Coordinate changes with database, application, governance, AI/ML, BI, and testing teams • Support automated regression testing, data-quality checks, defect resolution, and release validation • Maintain version-controlled code, deployment instructions, rollback procedures, and operational runbooks • Provide technical status, troubleshooting findings, risks, and improvement recommendations to the technical lead and Government stakeholders

🎯 Requisitos

• Active Secret clearance or higher • Minimum of eight years of relevant professional experience • Bachelor’s degree in computer science, information systems, or a related field, or a permitted equivalent • Experience maintaining and supporting SQL Server Integration Services (SSIS) • Strong SQL and Python skills • Experience building or supporting API integrations • Experience implementing incremental data loads • Experience performing data reconciliation and managing schema changes • Experience documenting and maintaining data lineage • Experience troubleshooting complex data pipelines • Ability to implement raw, standardized, and curated data layers • CompTIA Security+ CE or another approved IAT Level II certification when applicable to assigned duties • Relevant data engineering or cloud platform certification preferred • Experience supporting federal or Department of Defense data environments preferred • Experience with enterprise data warehouses, analytical datasets, BI platforms, or AI-ready data preferred • Experience modernizing SSIS packages or migrating integrations to approved cloud services preferred • Familiarity with data governance, metadata repositories, common identifiers, and authoritative sources preferred • Experience developing automated reconciliation tests, data-quality checks, and pipeline regression tests preferred • Familiarity with CI/CD, version control, automated deployment, and rollback processes preferred • Familiarity with secure service accounts, secrets management, encryption, and audit logging preferred • Strong troubleshooting, documentation, communication, and cross-team coordination skills preferred

🏖️ Benefícios

• Remote work arrangement • Opportunity to support mission analysis, AI capabilities, and reporting for the USMEPCOM ENLIST program

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