Data Engineer I - Pipelines & ETL Focus

Socket.dev; New York (NY); On-site; USD 111,000 - 185,000; Full time

Job summary

Zappos is seeking a Data Engineer to design, develop, and maintain our data infrastructure in a fast-moving environment. You will collaborate with analytics teams to build robust pipelines, ETL processes, and data warehouses that power reporting and ML initiatives.

This role emphasizes data quality, security, documentation, and monitoring, with opportunities to redesign architecture and influence data strategy across the organization.

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with query languages (SQL, HiveQL, SparkSQL).
• Experience with scripting languages (Python).
• Bachelor’s degree or equivalent in a related field.

Responsibilities

• Design, build, and maintain data pipelines from diverse sources.
• Develop and optimize ETL processes to clean and structure data.
• Implement and manage data warehousing for efficient storage and querying.
• Establish data quality standards and validate data integrity.
• Collaborate with data scientists and analysts to meet data requirements.
• Maintain documentation for data pipelines and processes.
• Implement monitoring to detect pipeline failures and performance issues.
• Ensure data privacy and security with appropriate controls.

Skills

Data pipelines

SQL

Python

Big data

Education

Bachelor’s degree

Tools

Hadoop

Hive

Spark

EMR

Job description

Zappos is seeking a Data Engineer to design, develop, and maintain our data infrastructure in a fast-moving environment. You will collaborate with analytics teams to build robust pipelines, ETL processes, and data warehouses that power reporting and ML initiatives.

This role emphasizes data quality, security, documentation, and monitoring, with opportunities to redesign architecture and influence data strategy across the organization.