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

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

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

Applicant 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