Senior Data Engineer

Foodsmart

Senior Data Engineer at Foodsmart responsible for data pipeline architecture and collaboration with teams. Leading data delivery and automation initiatives for improved health outcomes.

Posted 5/2/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $150,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheBigQueryCloudJavaJavaScriptMySQLNode.jsPostgresPythonRDBMSScalaSQLTypeScript

About the role

Key responsibilities & impact

Lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders.
Architect, build, and maintain robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning.
Partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives.
Establish best practices for data quality, governance, security, and compliance; implement 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.

Requirements

What you’ll need

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 in backend development, with strong proficiency in TypeScript, Java, Python, Node.js, and SQL-based RDBMS such as PostgreSQL or MySQL.
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).

Benefits

Comp & perks

Remote-First Company
Unlimited PTO
Flexible & remote location
Healthcare Coverage (Medical, Dental, Vision)
401k & bonus
Registered Dietitian Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringcloud data warehousesSQLdata pipeline orchestrationPythonScalaJavaTypeScriptPostgreSQLMySQL

Soft Skills

analytical skillsproblem-solving skillsmentoringtechnical guidancecontinuous improvement