Data Services Engineer – Strategic Projects

🕒 il y a 6 jours

🇺🇸 États-Unis – Télétravail

💵 $110 000 - $120 000 / an

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

🧐 Stratégie

🗣️🇺🇸🇬🇧 Anglais requis

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GrowthLoop

51 - 200 employés

🤝 B2B

📣 Marketing

☁️ SaaS

B2B • Marketing • SaaS

GrowthLoop est une entreprise spécialisée dans les plateformes de données clients (CDP) composables. Elle permet aux entreprises de lancer des campagnes marketing ciblées sur divers canaux en s'appuyant sur les analyses et données fournies par l'IA. GrowthLoop propose des outils pour la segmentation des audiences, l'orchestration des parcours clients et la mesure de performance, améliorant ainsi l'impact marketing et les résultats commerciaux. Sa plateforme est conçue pour que les responsables marketing puissent travailler de manière autonome par rapport aux équipes techniques, en s'intégrant avec les principaux entrepôts de données tels que Google BigQuery, Snowflake et Amazon Redshift. GrowthLoop vise à améliorer l'efficacité et accélérer l'exécution marketing grâce à une interface conviviale et une utilisation complète des données.

Description

• Engineer and optimize the ingestion of large volumes of data into cloud data warehouses • Work directly with a single enterprise client to understand their business needs, data landscape, and roadblocks • Design and build scalable data models that support the client's analytical and operational goals • Drive improvements to internal workflows and tooling to increase efficiency and repeatability • Serve as a thought partner for client stakeholders, guiding technical and strategic data decisions

🎯 Exigences

• 2–5 years of experience as a Data Engineer or Analytics Engineer, with strong proficiency in SQL and Python • Proven experience designing, building, and maintaining cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) • Hands-on experience with Google Cloud Platform (GCP), including core services such as BigQuery • Strong data modeling skills, with the ability to design scalable, well-structured models for both analytical and operational use cases • Experience working with BI and visualization tools (e.g., Looker, Tableau, Power BI, or similar) • Solid understanding of relational databases and core data warehousing principles • Strong analytical thinking and problem-solving abilities • Self-starter who thrives in autonomous environments and takes ownership of outcomes • Naturally curious, with a passion for learning and applying new tools and technologies

🏖️ Avantages

• 100% company-paid medical coverage for individual employees with strong dependent contributions, including dental & vision coverage • Full health, dental, vision, life, and disability coverage for Canadian employees (fully employer-paid) • 401(k) or RRSP (Canada) Program with Generous Company Match • Spot bonuses for major milestones and product feature launches. • Clear opportunities for career progression and cross-functional collaboration. • Meaningful equity so you share in the value you help create. • Flexible, goal-based work style. • Flexible PTO with trust and autonomy. • Monthly, company-wide Recharge Days to truly unplug. • Annual home office stipend to support your workspace. • Quarterly Hackathons to focus on team passion projects • Annual professional development stipend • Work directly with a world-class executive team • A learners’ mindset culture

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