Data Engineer, Data Project Lead

🕒 il y a 2 mois

⚔️ Virginia – Distant

⚔️ Virginia – Remote

💵 $81 499 - $138 549 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

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ICF

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 1969

🏥 Santé

📦 Logistique

📣 Marketing

💰 €30 000 000 Grant en 2021-03

Healthcare • Logistics • Marketing

ICF est une entreprise mondiale de services de conseil et de technologie qui aide les clients gouvernementaux et commerciaux à relever des défis complexes. L'entreprise propose son expertise dans des domaines tels que la modernisation des technologies de l'information au niveau fédéral, l'énergie et les services publics, la santé publique, la résilience climatique, la gestion des catastrophes et le transport. ICF utilise les données et l'analytique, l'intelligence artificielle et la cybersécurité pour fournir des solutions innovantes. Fortement engagé en faveur de la citoyenneté d'entreprise et de la durabilité, ICF soutient les programmes sociaux et le développement communautaire, visant un avenir durable à faibles émissions. L'entreprise opère à l'échelle mondiale, avec une présence significative en Europe grâce à ses bureaux en Belgique, en Espagne et au Royaume-Uni.

Description

• Lead planning, execution, and delivery of data management and data engineering projects supporting OHS program oversight and operations • Apply iterative and flexible project management approaches to prioritize work based on value, user needs, and level of effort • Coordinate closely with the Project Manager to align data project priorities with contract deliverables and performance metrics • Supervise and provide technical direction to data-focused staff, including Data Analysts, Data Visualization Specialists, Data Management Specialists, and Data Entry Support Specialists • Design, build, and maintain data pipelines, integrations, and automation processes using federally compliant tools and platforms • Support integration of data from federal systems such as HSES, AMS, GrantSolutions, and the TTA Hub into operational and analytical tools • Maintain and enhance workflow and task tracking solutions, including Smartsheet-based tools (e.g., SmartFlow) • Support the use of the OHS Data Layer and cloud-based infrastructure to enable scalable, secure data processing and analysis • Ensure data accuracy, integrity, and alignment across systems, mitigating competing sources of truth • Implement and support data quality assurance, validation processes, and governance practices appropriate for federal environments • Ensure documentation of data structures, pipelines, and processes to support knowledge transfer and continuity • Lead development of data products, dashboards, reports, and automated outputs that support grants management, monitoring, and leadership decision-making • Support generation of standardized documents and correspondence through automated data integration where appropriate • Enable data-informed decision-making through improved access to timely, relevant, and well-structured data • Analyze data workflows and business processes to identify opportunities for efficiency, automation, and improvement • Develop and maintain technical documentation, data dictionaries, process documentation, and handoff materials • Support the development of training materials and guidance to promote consistent use of data tools and solutions • Respond to data-related inquiries and support ad hoc and recurring data requests from OHS staff and leadership • Participate in briefings, meetings, and planning sessions related to data management initiatives • Support coordination across technical and programmatic teams to ensure solutions align with operational needs

🎯 Exigences

• Bachelor’s degree in computer science, information systems, data science, or a related field • 10+ years of progressively responsible post-baccalaureate professional experience in data engineering, data management, or related technical roles • 3+ years of supervisory or technical team leadership experience • 3+ years of experience designing and managing complex, high-profile, multi-faceted data projects • 3+ years of experience with data integration, ETL processes, database design, and data pipelines • 1+ years of experience in early childhood education and/or Head Start programs • US government issued security clearance required (will be initiated upon hire) • Valid driver’s license and ability to pass an MVR check.

🏖️ Avantages

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options