Senior Data Engineer
Foodsmart- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 5mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Lead the optimization and scalability of data delivery pipelines
- Architect, build, and maintain robust, high-throughput data pipelines and infrastructure
- Partner with data architects, data scientists, and analysts to design solutions
- 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
- Mentor junior engineers, provide technical guidance, and influence broader data platform strategy
Requirements
- 6+ years of professional experience in data engineering
- Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery)
- Advanced SQL skills
- 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
- 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
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
Preferred
- Familiarity with healthcare data standards (FHIR, HL7) or other regulated data domains is a plus
- Master’s degree preferred
Skills
- Python
- Scala
- Java
- TypeScript
- Node.js
- SQL
- PostgreSQL
- MySQL
- Snowflake
- Redshift
- BigQuery
- Apache Airflow
- Dagster
- Luigi
- FHIR
- HL7
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