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Senior Data Engineer
FoodsmartSenior Data Engineer responsible for constructing and optimizing data pipeline architecture at Foodsmart. Collaborating closely with cross-functional teams to ensure efficient data delivery and success of data initiatives.
Tech Stack
Tools & technologiesAirflowAmazon 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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata pipeline optimizationcloud data warehousesSQLdata pipeline orchestrationPythonScalaTypeScriptbackend developmentdata modeling
Soft Skills
analytical skillsproblem-solving skillsmentoringtechnical guidancecontinuous improvementcollaborationinfluencing strategyadaptabilitycommunicationleadership
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in MathematicsMaster’s degree in related field