Data Engineer, Data Modeler

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Essnova Solutions, Inc.

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11 - 50 employés

Fondée en 2005

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Essnova Solutions, Inc. est une entreprise de services technologiques et professionnels qui fournit des solutions informatiques, des services de distributeur à valeur ajoutée (VAR/ITVAR), des solutions géospatiales et environnementales, de l'augmentation de l'effectif et un soutien en matière de santé, ainsi que des services d'expérience numérique pour les citoyens et les clients aux gouvernements fédéral, étatique et local, à l'éducation, aux clients commerciaux et du secteur de la santé. La société est une petite entreprise certifiée 8(a) et HUBZone avec plusieurs véhicules de contrats GSA et se concentre sur la migration vers le cloud, les mégadonnées et l'IA, l'information et la cybersécurité, la gestion de programme et de projet, et la mise en œuvre et le soutien technologique de bout en bout.

Description

• 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.

🎯 Exigences

• 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

🏖️ Avantages

• 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