Remote Staff Data Engineer: Lead Data Platform & ETL

Experity; New York (NY); Remoto; USD 141.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical, Dental, Vision

Synthetic ownership program

Flexible work scheduling

Generous PTO

Learning program

Company events

401(k) with employer match

Quarterly bonuses

Descrizione del lavoro

Experity is seeking a Senior Data Engineer lead to architect and deliver scalable data pipelines and enterprise data services. You will define integration patterns across databases, APIs, and event streams, and design reusable data models for analytics and AI/ML applications.

You will mentor Senior Data Engineers, collaborate with Data Scientists, and drive improvements in Snowflake performance, cloud efficiency, and data quality.

Competenze

• 8+ years of experience building and operating production-grade data platforms.

Mansioni

• Lead the architecture and hands-on delivery of scalable batch and near-real-time ETL/ELT pipelines.
• Define robust integration patterns for databases, APIs, CDC/event streams and external sources.
• Design governed data models and data products for analytics, AI/ML and operations.
• Solve complex transformation challenges using Python, SQL, Snowflake and distributed data tech; produce production-ready code.
• Drive decisions on scalability, availability, resiliency, performance, maintainability and cost.

Conoscenze

Python

SQL

Snowflake

Data pipelines

ETL/ELT

AWS

Leadership

Mentoring

Arch/Design

Formazione

Bachelor's or Master's in CS/Engineering/Info Systems

Strumenti

Kafka

Flink

Airflow

Docker

Kubernetes

Terraform

Git

Descrizione del lavoro

Experity is seeking a Senior Data Engineer lead to architect and deliver scalable data pipelines and enterprise data services. You will define integration patterns across databases, APIs, and event streams, and design reusable data models for analytics and AI/ML applications.

You will mentor Senior Data Engineers, collaborate with Data Scientists, and drive improvements in Snowflake performance, cloud efficiency, and data quality.