Data Engineer: Real-Time Pipelines for AI & Robotics

Kiwibot; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading robotic delivery company in San Francisco is seeking a Data Engineer to join their Data Team. In this role, you will design and maintain data architecture and pipelines while ensuring data quality for AI and Robotics initiatives. You will collaborate with teams, lead projects, and uphold data governance standards. Ideal candidates will have a strong background in Python, SQL, and Google Cloud Platform. This full-time position offers a unique opportunity to impact urban logistics.

Qualifications

• Strong proficiency in Python for data engineering and scripting.
• Extensive experience with SQL and relational databases (PostgreSQL preferred).
• Proven expertise with Google Cloud Platform (GCP) services.
• Experience designing and maintaining robust ETL/ELT data pipelines.
• Familiarity with data orchestration tools like Apache Airflow.
• Understanding of data modeling techniques such as dimensional modeling.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Manage data warehousing solutions in Google BigQuery.
• Collaborate to understand data needs and develop solutions.
• Contribute to data architecture design and evolution.
• Develop monitoring solutions for data pipeline health.

Skills

Python for data engineering

SQL and relational databases

Google Cloud Platform (GCP)

ETL/ELT data pipelines

Data orchestration tools

Real-time data processing technologies

Data modeling techniques

Version control systems

Tools

BigQuery

Cloud Storage

Cloud Functions

Apache Airflow

Kafka

MQTT

Docker

Kubernetes

Job description

A leading robotic delivery company in San Francisco is seeking a Data Engineer to join their Data Team. In this role, you will design and maintain data architecture and pipelines while ensuring data quality for AI and Robotics initiatives. You will collaborate with teams, lead projects, and uphold data governance standards. Ideal candidates will have a strong background in Python, SQL, and Google Cloud Platform. This full-time position offers a unique opportunity to impact urban logistics.