Senior Data Engineer-Mandarin speaking required
Senior
Apache Airflow
Apache Doris
Apache Pinot
Big Data
Bigdata
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Database
Databases
Databricks
ETL
Flink
Informatica
Information Technology (IT)
Kafka
Programming
Programming Language
Programming Languages
Spark
SQL
Stream Processing
Workflow Orchestration
Job Description
Speed Express is hiring a Senior Data Engineer to lead enterprise data platform development, optimization, and production operational support in Montebello, CA.
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 datasets
- Develop and support enterprise data warehouse and lakehouse solutions
- Integrate data from ERP systems, CRM platforms, APIs, flat files, streaming systems, and SaaS applications
- Design and maintain semantic and curated data layers for analytics and reporting
- Provide technical leadership plus operational support for a production data platform environment
- Monitor reliability, performance, and availability of the platform
- Troubleshoot and resolve production data pipeline and platform issues
- Implement logging, alerting, observability, and operational best practices
- Support scalability, resiliency, and disaster recovery readiness
- Design and manage workflow orchestration and job scheduling frameworks
- Optimize distributed data processing workloads and streaming pipelines
- Improve data processing efficiency, latency, and throughput
- Apply 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 with cross-functional teams to maintain consistency and governance across the data ecosystem
- Coordinate development 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 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
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
Benefits
- 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Compensation and Location
- Pay: From $65,000.00 per year
- Location: Montebello, CA (onsite)
- Work location: In person
Additional note: Senior Data Engineer - Mandarin speaking required.