
51 - 200 employees
🤝 B2B
📣 Marketing
☁️ SaaS
B2B • Marketing • SaaS
GrowthLoop is a company specializing in composable Customer Data Platforms (CDPs). It empowers businesses to activate targeted marketing campaigns across various channels by leveraging AI insights and data. GrowthLoop provides tools for audience segmentation, journey orchestration, and performance measurement, enhancing marketing impact and business outcomes. Its platform is designed for marketers to work independently of technical teams, integrating with major data warehouses like Google BigQuery, Snowflake, and Amazon Redshift. GrowthLoop aims to improve efficiency and accelerate marketing execution with a user-friendly interface and comprehensive data utilization.
🕒 6 days ago
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51 - 200 employees
🤝 B2B
📣 Marketing
☁️ SaaS
B2B • Marketing • SaaS
GrowthLoop is a company specializing in composable Customer Data Platforms (CDPs). It empowers businesses to activate targeted marketing campaigns across various channels by leveraging AI insights and data. GrowthLoop provides tools for audience segmentation, journey orchestration, and performance measurement, enhancing marketing impact and business outcomes. Its platform is designed for marketers to work independently of technical teams, integrating with major data warehouses like Google BigQuery, Snowflake, and Amazon Redshift. GrowthLoop aims to improve efficiency and accelerate marketing execution with a user-friendly interface and comprehensive data utilization.
• 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
• 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
• 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
Apply Now🕒 6 days ago
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