Software Engineer II – Data

Emploi pas sur LinkedIn

🕒 il y a 11 jours

🇺🇸 États-Unis – Télétravail

💵 $94 714 - $149 575 / an

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 18%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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OSC Global

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Fondée en 2025

🔒 Cybersecurity

Cybersecurity

OSC Global est un leader en matière de services informatiques, de cybersécurité et de services professionnels, réunissant une expertise axée sur la mission et des technologies de pointe pour protéger les entreprises du monde entier. Grâce à nos entreprises et plateformes, nous offrons des solutions sécurisées et résilientes qui préservent l'avenir.

Description

• Create and maintain data models, data mappings, and data relationship diagrams • Develop, implement, and maintain data pipelines and data integration processes • Analyze and validate source data for completeness, accuracy, and relevance • Gather, document, and clarify data requirements with business stakeholders and team members • Perform data quality checks, testing, and validation procedures • Configure and administer cloud-based data services and environments under senior engineer direction • Apply data security, governance, and data handling practices • Prepare and maintain technical and process documentation and status reports • Troubleshoot data-related issues and support continuous improvement • Perform work safely and in compliance with ISMS/EMS requirements • Perform other assigned duties

🎯 Exigences

• Bachelor's Degree and 2 or more years of experience, or an equivalent combination of education, training and experience • Working knowledge of relational databases, data models, ETL/ELT processes, data quality, and data lifecycle management • Working knowledge of SQL and scripting/programming languages used for data engineering tasks • Familiarity with cloud-based data platforms and services • Understanding of data security, governance, and compliance requirements • Familiarity with data quality validation, testing methodologies, and troubleshooting techniques • Understanding of flowcharts, data flow diagrams, and system integration concepts • Ability to pass a background and drug screening • Must have identification compliant with the Real ID Act at time of hire • Must be able to obtain Department of Energy PIV badge • Proficient in Microsoft Office products and standard business software applications • Ability to travel by vehicle or aircraft and safely operate a motor vehicle • Knowledge of Nuclear Quality Assurance (NQA-1) requirements or similar regulated environments preferred • Preferred experience with Databricks, Delta Lake, notebooks, workflows, and data transformation processes • Preferred experience programming in Python for data engineering, automation, data quality validation, and data integration • Preferred experience with Azure Data Lake Storage, Azure Data Factory, Microsoft Fabric, or similar technologies • Preferred knowledge of AI-ready data curation, data profiling, cleansing, normalization, metadata management, data quality monitoring, and preparation of structured and unstructured data • Preferred experience with data governance, data cataloging, lineage, and data stewardship • Preferred familiarity with analytics, reporting, business intelligence, and AI/ML data-set design • Preferred experience with large-scale structured, semi-structured, and unstructured data sources • Preferred experience with SSRS, Power BI, Tableau, or Crystal Reports • Preferred experience with SQL Server, Oracle, or other enterprise relational database management systems • Preferred familiarity with data warehousing, dimensional modeling, and master data management • Preferred experience in regulated, security-conscious, or highly governed environments • Preferred knowledge of Agile methodologies, DevOps practices, and Git or Azure DevOps

🏖️ Avantages

• Paid holidays • Paid time off • 401k with employer match • Dental insurance • Vision insurance • Health insurance plans through the Federal Employee Health Benefits (FEHB) program • Life benefits • Disability benefits

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