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About Us:
We are a pioneering food technology company dedicated to making healthy eating accessible and affordable for everyone. Our mission is to transform the way people access and enjoy nutritious food.
Our team is passionate about fostering healthier food choices, driving lasting behavior change, and delivering long-term health outcomes. We work closely with registered dietitians, national and regional retailers, and healthcare organizations to provide our members with personalized guidance on tailored nutrition plans.
We leverage cutting-edge data analytics and machine learning to optimize ingredients at home and on-the-go. Our innovative platform seamlessly integrates dietary assessments, nutrition counseling, online food ordering, and cost-effective meal planning. This holistic approach makes it easy for families to make informed decisions about their diet.
We are committed to advancing our core values: Measured decision-making, Impactful achievements, Collaborative teamwork, Hungry growth mindset, and Joyful work environment. Join us in shaping the future of healthy eating and transforming lives through data-driven insights.
About the Role:
The Senior Data Engineer will play a critical role in constructing and optimizing our data pipeline architecture. This includes collaborating with data scientists and analysts to design, build, and maintain high-throughput data pipelines, ensuring efficient data flow, and contributing to data-driven initiatives.
Responsibilities:
- Lead the optimization and scalability of data delivery pipelines to meet cross-functional stakeholder needs.
- Architect, build, and maintain robust data infrastructure to support advanced analytics and machine learning.
- Partner with data architects, data scientists, and analysts to develop solutions that meet evolving data requirements and business objectives.
- Establish best practices for data quality, governance, security, and compliance, implementing automated frameworks for cleaning, validation, correction, and enrichment.
- Drive continuous improvement in data engineering processes by identifying bottlenecks, reducing manual effort through automation, and advancing scalability standards.
- Mentor junior engineers, provide technical guidance, and influence broader data platform strategy.
You are:
- A proactive leader who drives efficient data delivery, infrastructure evolution, and technical excellence.
- Quality-oriented, with a strong sense of ownership over data reliability and accessibility.
- Experienced in applying secure, compliant data handling practices in regulated environments.
- Collaborative and skilled at bridging business needs with technical solutions, supporting stakeholders at all levels.
- An expert in data warehouse architecture, dimensional modeling, and automated data engineering at scale.
You have:
- 6+ years of professional experience in data engineering, with a proven track record of leading large-scale, complex projects.
- Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery).
- Advanced SQL skills and strong experience with relational and columnar database systems.
- Proficiency in data pipeline/workflow orchestration tools (e.g., Apache Airflow, Dagster, Luigi).
- Solid programming background (Python, Scala, or Java) for data processing and automation.
- Experience designing data models and schemas for both operational and analytical use cases.
- Strong analytical and problem-solving skills, thriving in fast-paced, high-growth environments.
- Familiarity with healthcare data standards (FHIR, HL7) or other regulated data domains is a plus.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree preferred).
