Transformative Data Engineering Leader

About us:

At Foodsmart, we're pioneering a new standard for accessible and affordable healthy food. Our mission is to empower individuals to make informed choices about their diet and lifestyle.

We've created a robust network of registered dietitians who work closely with our members to develop personalized nutrition plans that cater to their unique needs and preferences.

Our digital platform seamlessly integrates dietary assessments, nutrition counseling, online food ordering, and cost-effective meal planning to ensure that everyone has access to nutritious food, regardless of economic status.

We partner with national and regional retailers across the U.S. to provide members with a wide range of healthy food options at affordable prices. Many of our partners accept SNAP/EBT, making it easier for low-income individuals to access healthy food.

In 2024, we secured a significant investment from TPG's Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations' Sustainable Development Goals. This funding will enable us to expand our reach and impact even more lives.

At Foodsmart, we're driven by a set of core values that guide our culture and decision-making processes:

• We prioritize data-driven decision-making and strive for truth and transparency in all aspects of our business.
• We're passionate about creating meaningful impact and delivering results that drive lasting change.
• We foster a collaborative environment where every team member feels valued and empowered to contribute.
• We maintain a growth mindset and are committed to continuous learning and improvement.
• We celebrate individuality and promote a positive, inclusive work environment.

| About the role:

The Senior Data Engineer plays a critical role in shaping our data pipeline architecture and collaborating with cross-functional teams to drive data-related functionalities. They'll be responsible for designing, building, and maintaining highly scalable data pipelines, optimizing data delivery, and automating data processes.

You will:

1. Optimize and scale data delivery pipelines to meet performance and reliability standards.
2. Architect, build, and maintain robust data pipelines and infrastructure to support advanced analytics and machine learning.
3. Partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives.
4. Establish best practices for data quality, governance, security, and compliance; implement automated frameworks for cleaning, validation, correction, and enrichment.
5. Drive continuous improvement in data engineering processes by identifying bottlenecks, reducing manual effort through automation, and advancing scalability standards.
6. Mentor junior engineers, provide technical guidance, and influence broader data platform strategy.

Requirements:

• 6+ years of professional experience in data engineering, with a proven track record of leading large-scale 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 environments.

Benefits:

• A dynamic work environment that fosters collaboration, innovation, and continuous learning.
• An opportunity to work on cutting-edge data engineering projects that drive real-world impact.
• A comprehensive compensation package that includes competitive salary, benefits, and perks.

,