Senior Data Engineer: Build Scalable Data Pipelines

Kula Example; San Francisco (CA); On-site; USD 190,000 - 230,000; Full time

Job summary

Kula Example in San Francisco seeks an experienced Senior Data Engineer to design and maintain robust data pipelines and warehouses, powering BI and ML initiatives.

You will collaborate with analysts and data scientists, implement data quality checks, and partner with engineers to integrate data assets across systems. The role demands 4+ years in data engineering and strong SQL/Python, dbt, Snowflake or BigQuery, Airflow, Docker, and CI/CD, plus a degree in CS.

Qualifications

• 4+ years of experience in data engineering.
• Proficiency in SQL and Python.
• Experience with dbt, Snowflake or BigQuery, Airflow, Docker, and CI/CD for data workflows.
• Bachelor’s degree in Computer Science or equivalent.

Responsibilities

• Build and maintain production-ready data pipelines and warehouses.
• Implement data quality checks and monitoring for data accuracy.
• Collaborate with analysts and data scientists to deliver high-quality datasets.
• Design scalable data architectures with cross-functional teams.
• Document pipelines and systems for clarity and maintainability.
• Support on-call rotations and resolve data-related incidents.

Skills

SQL

Python

dbt

Snowflake

BigQuery

Airflow

Docker

CI/CD

Data pipelines

Data quality

Kubernetes

Education

Bachelor's degree in Computer Science

Tools

Snowflake

BigQuery

Airflow

Docker

Job description

Kula Example in San Francisco seeks an experienced Senior Data Engineer to design and maintain robust data pipelines and warehouses, powering BI and ML initiatives.

You will collaborate with analysts and data scientists, implement data quality checks, and partner with engineers to integrate data assets across systems. The role demands 4+ years in data engineering and strong SQL/Python, dbt, Snowflake or BigQuery, Airflow, Docker, and CI/CD, plus a degree in CS.