Bilingual Senior Data Engineer (Mandarin) – Lead Platform

Jobot; Montebello (CA); On-site; USD 140,000 - 155,000; Full time

Benefits offered by this job

Competitive compensation

Growth opportunities

401K benefits

PTO & Holidays

Job summary

Jobot in Montebello, CA is seeking a Bilingual Senior Data Engineer (Mandarin) to lead the development, optimization, and operation of our enterprise data platform. You will collaborate with offshore teams to design scalable data pipelines and analytics-ready stores.

The ideal candidate has 5+ years in data engineering, strong SQL/Python, ETL/ELT, and cloud experience. This on-site role sponsors visa and supports growth in a fast-paced, data-driven company.

Qualifications

• Master’s or Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• 5+ years of experience in data engineering, big data, or data platform development.
• Strong hands-on experience with SQL and Python.
• Experience building enterprise-grade ETL/ELT pipelines.
• Strong knowledge of distributed data processing and streaming technologies.

Responsibilities

• Collaborate with offshore engineering teams to design scalable enterprise data architecture.
• Build, optimize, and maintain ETL/ELT pipelines for structured and semi-structured data.
• Develop and support enterprise data warehouse and lakehouse solutions.
• Integrate data from ERP, CRM, APIs, files, streaming systems, and SaaS apps.
• Design and maintain semantic and curated data layers for analytics and reporting.

Skills

SQL

Python

dbt

Apache Airflow

Apache Spark

Apache Flink

Apache Kafka

Education

Master’s or Bachelor’s in Computer Science/Engineering

Tools

Databricks

Apache Pinot

Apache Doris

Data warehouse/Lakehouse

AWS

Azure

CI/CD

Terraform

Kubernetes

Job description

Jobot in Montebello, CA is seeking a Bilingual Senior Data Engineer (Mandarin) to lead the development, optimization, and operation of our enterprise data platform. You will collaborate with offshore teams to design scalable data pipelines and analytics-ready stores.

The ideal candidate has 5+ years in data engineering, strong SQL/Python, ETL/ELT, and cloud experience. This on-site role sponsors visa and supports growth in a fast-paced, data-driven company.