Senior Data Engineer (Bilingual Chinese and English) - LAX

SpeedX; Montebello (CA); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

SpeedX is seeking a highly skilled Senior Data Engineer to lead the development, optimization, and operational support of our enterprise data platform. You will work with offshore teams to design and maintain scalable data infrastructure and pipelines for analytics and BI.

The ideal candidate has strong experience in modern data engineering architectures, distributed processing, cloud platforms, and production-grade data operations to ensure reliability, scalability, security, and ongoing

Formación

• 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.

Responsabilidades

• 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 systems, CRM platforms, APIs, flat files, streaming systems, and SaaS applications.
• Design and maintain semantic and curated data layers for analytics and reporting.

Conocimientos

SQL

Python

ETL/ELT pipelines

Distributed data processing

Offshore team collaboration

Data governance

Educación

Master’s or Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field

Herramientas

dbt

Databricks

Data warehouse / lakehouse

Descripción del empleo

Founded in 2022, SpeedX offers a superior last-mile delivery experience designed to better connect brands to customers. At SpeedX, we’re more than just a delivery company – we’re partners in success. We believe that ecommerce delivery shouldn’t be a hassle, a financial strain, or a source of stress for businesses. We created a next-level delivery experience that’s designed to meet business's needs, exceed their expectations, and future-proof their ecommerce business.

In just three years of business, we have grown our client list to over a dozen online marketplaces, 3PLs and direct retailers and are now delivering over 300,000 packages daily worldwide – with the number constantly growing. And we have no plans of slowing down!

Job Summary

We are seeking a highlyskilled Senior Data Engineer to lead the development, optimization, and operational support of our enterprise data platform. This role will work closely with offshore engineering teams to design, build, and maintain scalable data infrastructure and pipelines supporting analytics, reporting, and business intelligence initiatives.

The ideal candidate has strong experience in modern data engineering architectures, distributed data processing systems, cloud platforms, and production-grade data operations. This position is also responsible for ensuring the reliability, scalability, security, and ongoing support of the data platform in a production environment.

Key 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 systems, CRM platforms, APIs, flat files, streaming systems, and SaaS applications
• Design and maintain semantic and curated data layers for analytics and reporting

Production Support & Operations

• 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

Data Processing & Orchestration

• Design and manage workflow orchestration and job scheduling frameworks
• Optimize distributed data processing workloads and streaming pipelines
• Improve data processing efficiency, latency, and throughput
• Implement data quality validation, governance, and reconciliation processes

Security & Governance

• Support data security, access control, and compliance requirements
• Establish standards for data modeling, naming conventions, metadata management, and data lifecycle management
• Collaborate with cross-functional teams to ensure consistency and governance across the enterprise data ecosystem
• 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

Required Qualifications

• Master’s degree 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

Required Technical Skills

• SQL
• Python
• dbt

Data Platforms & Storage

• Databricks
• Data warehouse/lakehouse architectures

Additional 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
• Bilingual in Chinese and English highly desired
• Technical leadership
• Problem-solving and root cause analysis
• Production support ownership mindset
• Scalability and performance optimization
• Cross-team collaboration
• Process improvement and operational excellence