Remote Data Engineer: Scalable Pipelines & Airflow

Ladders; United States; À distance; USD 135 000 - 145 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Vision insurance

Stock options

Financial wellness subscription

Home-office stipend

401(k)

Parental leave

Flexible time off

Company holidays

Résumé du poste

Ladders in the United States is seeking a Data Engineer to design, build, and support scalable data infrastructure powering internal and external use cases. You will collaborate with stakeholders to clarify requirements and deliver reliable data solutions that drive business decisions.

This remote role focuses on data pipelines, API integrations, Airflow orchestration on Kubernetes, and monitoring with tests to ensure pipeline reliability.

Qualifications

• 3+ years of Data Engineering experience.
• 3+ years of Airflow experience.
• Proficiency in Python and SQL.
• Familiarity with Snowflake, Airflow, DBT, and GCP.
• BS in Computer Science or a related field.

Responsabilités

• Build and maintain data pipelines for internal and external use.
• Integrate with APIs to facilitate data exchange.
• Orchestrate workflows using Airflow on Kubernetes.
• Implement unit tests and monitoring for data reliability.
• Enhance the efficiency of existing data pipelines.
• Monitor and debug production pipelines, documenting issues.
• Collaborate with stakeholders to clarify requirements.

Connaissances

Data Engineering

Airflow

Python

SQL

Formation

BS in Computer Science

Outils

Airflow

Snowflake

DBT

GCP

Description du poste

Ladders in the United States is seeking a Data Engineer to design, build, and support scalable data infrastructure powering internal and external use cases. You will collaborate with stakeholders to clarify requirements and deliver reliable data solutions that drive business decisions.

This remote role focuses on data pipelines, API integrations, Airflow orchestration on Kubernetes, and monitoring with tests to ensure pipeline reliability.