Data Engineer

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August 19

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Burq

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eCommerce • Logistics • SaaS

Burq is a comprehensive delivery platform that enables businesses across various industries, including e-commerce, food, floral, health & wellness, and construction, to offer on-demand delivery services. By integrating with Burq, companies can connect seamlessly with multiple delivery providers, allowing them to scale quickly to new markets and improve customer satisfaction with same-day and efficient delivery options. Burq also provides advanced tracking technology and does not charge commissions, ensuring optimal delivery solutions for businesses. With a focus on easy integration and a broad network of delivery providers, Burq empowers businesses to offer reliable delivery services without the need to build their own infrastructure.

11 - 50 employees

🛍️ eCommerce

☁️ SaaS

💰 Pre Seed Round on 2021-06

📋 Description

• As one of our first Data Engineers, you will be responsible for designing, building, and maintaining the pipelines and infrastructure that power our data-driven decision-making. You’ll work closely with product, operations, and engineering teams to ensure that data is clean, reliable, and ready to drive insights, from optimizing delivery routes to improving customer experiences. • This is a unique opportunity to build scalable data systems from the ground up and shape the foundation of our analytics and AI capabilities. • What You’ll Do • Design & Build Pipelines: Develop and maintain scalable ETL/ELT processes to ingest, clean, and transform data from multiple sources (internal systems, third-party APIs, IoT devices). • Data Modeling: Design and implement efficient data models for analytics, machine learning, and operational systems. • Infrastructure: Own the data infrastructure, leveraging cloud-native solutions (e.g., AWS, GCP, or Azure) and modern data tools. • Collaboration: Partner with data scientists, analysts, and software engineers to deliver data products that enable smarter decision-making. • Data Quality: Implement robust monitoring, validation, and governance to ensure accuracy, security, and compliance. • Scalability: Architect solutions that can handle rapid growth in data volume and complexity as the business scales.

🎯 Requirements

• 3+ years of experience in data engineering, preferably in a startup or high-growth environment. • Proficiency with SQL and at least one programming language (Python, Scala, or Java). • Experience with cloud data warehouses (Snowflake, BigQuery, or Redshift). • Familiarity with workflow orchestration tools (Airflow, Dagster, Prefect). • Hands-on experience with data streaming (Kafka, Kinesis) is a plus. • A builder mentality—comfortable with ambiguity, fast iterations, and working in a small but mighty team.

🏖️ Benefits

• Competitive Salary, Stock Options, and Performance-based Bonuses • Fully Remote • Comprehensive Medical, Vision and Dental Insurance