
Data Architect
3 days ago
About us:
We are a healthcare technology company that aims to make nutritious food accessible and affordable for everyone.
We have a robust network of Registered Dietitians who provide personalized nutrition counseling and guidance to our members. Our platform integrates dietary assessments, nutrition counseling, online food ordering, and cost-effective meal planning for the entire family. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible.
We also assist members with SNAP enrollment and management, providing tangible access to nutritious food. Our mission is to transform the way people access and enjoy healthy food.
| About the role:
The Senior Data Engineer will play a critical role in constructing and optimizing our data pipeline architecture. They will collaborate closely with data scientists and analysts to facilitate data-related functionalities and design, build, and maintain highly scalable data pipelines.
The Senior Data Engineer will lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders. They will work closely with cross-functional teams to ensure efficient data flow and contribute to the success of our data-driven initiatives.
- Design and implement data pipelines that meet evolving business requirements
- Develop and maintain high-quality code in Python, Scala, or Java
- Collaborate with data architects, data scientists, and analysts to design solutions that meet business objectives
- Establish best practices for data quality, governance, security, and compliance
- Drive continuous improvement in data engineering processes by identifying bottlenecks and advancing scalability standards
You will be responsible for:
Building and maintaining robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning
Partnering with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives
Mentoring junior engineers and influencing broader data platform strategy
You will thrive in this role if you:
Are a proactive leader who drives efficient data delivery, infrastructure evolution, and technical excellence
Have 6+ years of professional experience in data engineering with a proven track record of leading large-scale, complex projects
Have deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery)
Are proficient in data pipeline/workflow orchestration tools (e.g., Apache Airflow, Dagster, Luigi)
Have solid programming background (Python, Scala, or Java) for data processing and automation
Familiarity with healthcare data standards (FHIR, HL7) or other regulated data domains is a plus
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