Lead Data Engineer: Build Scalable Pipelines (Remote)

Rippling, Inc.; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Stock options

Paid time off

Parental leave

Employee development & wellness stipen

Holiday break

Volunteer time off

Performance-based quarterly bonus

Medical, dental, and vision insurance

Job summary

Adelaide is seeking a hands-on Lead Data Engineer to lead our data engineering team and own the pipelines powering the AU metric. The role reports to the Director of Engineering, DevOps & Data Engineering and supervises one Data Engineer.

You will structure, maintain, and optimize data flows from internal and external sources into our SaaS analytics dashboard, ensuring reliability, security, and performance.

Qualifications

• Bachelor's degree in Computer Science
• Proficiency in Python, Redshift, Postgres, SQL, Spark, Scala, and Airflow
• Experience with the Pandas library and Docker
• Familiarity with AWS technologies such as ECS, S3, Kinesis, Redshift, and EMR
• Strong understanding of data structures and algorithms
• Experience with machine learning

Responsibilities

• Structure a sophisticated network and pipeline of data across internal and external sources
• Maintain a high degree of uptime for our SaaS analytics dashboard and connected platforms
• Work with other team members to design, build, deploy, and maintain reliable data pipelines
• Maintain and optimize existing data pipelines and integrations
• Optimize our data stores for fast, efficient querying to support technology and reporting needs
• Ensure the quality, reliability, and security of our data infrastructure

Skills

Python

SQL

Spark

Scala

Airflow

Pandas

Docker

AWS

S3

Kinesis

Redshift

EMR

Education

Bachelor's degree in Computer Science

Tools

Looker

Snowflake

Job description

Adelaide is seeking a hands-on Lead Data Engineer to lead our data engineering team and own the pipelines powering the AU metric. The role reports to the Director of Engineering, DevOps & Data Engineering and supervises one Data Engineer.

You will structure, maintain, and optimize data flows from internal and external sources into our SaaS analytics dashboard, ensuring reliability, security, and performance.