Data Engineer, Data Modeler

🕒 Maio 29

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Essnova Solutions, Inc.

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2005

🏛️ Governo

🔒 Cibersegurança

🤖 Inteligência Artificial

Government • Cybersecurity • Artificial Intelligence

A Essnova Solutions, Inc. é uma empresa de tecnologia e serviços profissionais que oferece soluções de TI, serviços de revenda com valor agregado (VAR/ITVAR), soluções geoespaciais e ambientais, aumento de equipe e suporte a saúde, além de serviços de experiência digital do cidadão/cliente para governos federais, estaduais e locais, educação, clientes comerciais e de saúde. A empresa é uma pequena empresa certificada 8(a) e HUBZone com diversos contratos GSA, e foca em migração para a nuvem, big data e IA, informação e cibersegurança, gestão de programas e projetos, e implementação e suporte de tecnologia de ponta a ponta.

Descrição

• Designing and maintaining scalable database architectures for analytical workloads, ensuring optimal performance through indexing, partitioning, caching, and query tuning. • Developing, automating, and maintaining data ingestion, transformation, validation, and loading pipelines to support high-quality data flows. • Building reusable data connection modules and backend infrastructure components to streamline data operations and support future scalability. • Supporting data preprocessing, normalization, and rigorous data quality validation processes. • Contributing to cloud migration planning, governance, and evaluation of cloud solutions for security, compliance, interoperability, and performance. • Producing comprehensive data models, architecture diagrams, flowcharts, and technical documentation for internal and external stakeholders. • Utilizing PowerShell scripting and automation to enhance data engineering workflows and system integration. • Collaborating with technical, security, and stakeholder teams throughout the project lifecycle to deliver high-impact data solutions.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field • 5+ years of experience in data engineering, database administration, or data architecture • Proven experience designing and optimizing scalable database architectures for analytical workloads, including query performance tuning (indexing, partitioning, caching) • Hands-on experience building and maintaining automated data ingestion, transformation, validation, and loading pipelines • Strong SQL skills with PostgreSQL, SQL Server, Oracle, or similar relational databases • Proficiency in Python or R for data transformation, automation, or pipeline development • Experience with PowerShell scripting and automation • Experience with cloud platforms (Azure or AWS) for cloud-hosted data solutions • Knowledge of FedRAMP requirements and cloud security best practices • Proficiency using Git with documented development practices • Experience designing data models for analytics (e.g., dimensional star/snowflake and/or normalized relational models) • Experience collaborating with government program stakeholders and security/privacy personnel, and presenting technical deliverables to diverse audiences • Eligibility to obtain and maintain a Tier 4 (High-Risk) Public Trust and HSPD-12/PIV credentialing • Ability to travel approximately 10% as needed

🏖️ Benefícios

• Comprehensive health insurance coverage (medical, dental, vision) • 401(k) retirement plan with company matching • Generous paid time off (PTO) and paid holidays • Remote work flexibility • Professional development and training opportunities • Supportive and inclusive team culture