Senior Data Engineer-Mandarin speaking required

Speed Express is hiring a Senior Data Engineer for an on-site role in Montebello, CA. This position focuses on building and operating an enterprise data platform used for analytics, reporting, and business intelligence, with collaboration across offshore teams. You will work on production-grade reliability, performance, and operational support, while partnering closely with BI, analytics, infrastructure, and application stakeholders.

Compensation: From $65,000 per year.

What you’ll be doing

• Collaborate with offshore engineering teams to design and implement 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, flat files, streaming systems, and SaaS applications
• Design and maintain semantic and curated data layers for analytics and reporting
• Provide technical leadership and operational support for the production data platform environment
• Monitor platform reliability, performance, and availability, and troubleshoot production pipeline issues
• Implement logging, alerting, observability, and operational best practices
• Ensure scalability, resiliency, and disaster recovery readiness
• Design and manage workflow orchestration and job scheduling frameworks
• Optimize distributed processing workloads, streaming pipelines, and improve efficiency, latency, and throughput
• Implement data quality validation, governance, and reconciliation processes
• Support data security, access control, and compliance requirements
• Establish standards for data modeling, naming conventions, metadata management, and data lifecycle management
• Participate in architecture reviews, code reviews, and technical design discussions
• Mentor junior engineers and promote engineering best practices

Requirements

• 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
• Experience supporting production data platforms and mission-critical workloads
• Experience working with offshore or distributed engineering teams
• Strong troubleshooting and performance optimization skills

Technologies you may use

• SQL, Python, dbt
• Apache Airflow, Apache Spark, Apache Flink, Apache Kafka
• Databricks, Apache Pinot, Apache Doris
• AWS and/or Microsoft Azure

Benefits

• 401(k)
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

Preferred skills

• CI/CD and DevOps practices
• Infrastructure as Code (Terraform or similar)
• Containerization and Kubernetes
• Monitoring and observability tools
• Data governance and metadata management platforms

Preferred qualifications

• Experience with real-time streaming architectures and large-scale distributed systems
• Experience supporting BI and analytics workloads
• Familiarity with modern medallion/lakehouse architecture patterns
• Experience in high-availability and high-throughput production environments
• Strong communication and cross-functional collaboration skills

Key competencies

• Technical leadership
• Problem-solving and root cause analysis
• Production support ownership mindset
• Scalability and performance optimization
• Cross-team collaboration
• Process improvement and operational excellence

Work location: In person.