Foodsmart

Senior Data Engineer

Vaga remota de Data Engineering com fit claro de localização do candidato.

Publicada18 de jul. de 2026

Países elegíveis1 país aceito

Sinal de senioridadeSenior

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Estados Unidos

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

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.

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.

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.
Experience in backend development, with strong proficiency in TypeScript, Java, Python, Node.js, and SQL-based RDBMS such as PostgreSQL or MySQL
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (Master’s degree preferred).

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