Senior Data Engineer-Mandarin speaking required

Speed Express is hiring a Senior Data Engineer to lead the development, optimization, and operational support of an enterprise data platform used for analytics, reporting, and business intelligence. The role also involves working closely with offshore engineering teams to build scalable data infrastructure that runs with production-grade reliability.

This position is based in Montebello, CA (onsite) and offers a salary of USD 65,000 per year, with an expected minimum of 5 years of relevant experience.

Responsibilities

• 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
• Troubleshoot and resolve production data pipeline and platform issues
• Implement logging, alerting, observability, and operational best practices
• Ensure platform scalability, resiliency, and disaster recovery readiness
• Design and manage workflow orchestration and job scheduling frameworks
• Optimize distributed data processing workloads and streaming pipelines to 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
• Coordinate development activities with offshore teams across multiple time zones
• Participate in architecture reviews, code reviews, and technical design discussions
• Mentor junior engineers and promote engineering best practices
• Partner with BI, analytics, infrastructure, and application teams to support enterprise data initiatives

Requirements

• Master’s or Bachelor’s degree in Computer Science, Information Systems, Engineering, or a 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

• 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

Pay: From $65,000.00 per year
Work location: In person