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Jobot

Bilingual (Mandarin) Senior Data Engineer

Montebello, CA, United States

$140,000 to $155,000 USD / year

Apply on jobot.com About employer

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Job details

Pay: $140,000 to $155,000 USD / year
Apply by: May 2, 2027
Experience: &bullet; 5+ years of experience in data engineering, big data, or data platform development
Posting language: English
Posted: Nov 2, 2026

Original job description

Bilingual (Mandarin) Senior Data Engineer

$140000 - $155000 per year | Montebello, CA | On-site | Permanent

If you are a Bilingual (English/Mandarin) Senior Data Engineer and want to join a growing, tech-savvy E-Commerce company with a dynamic team then apply now!

A bit about us:

We are a tech-enabled last mile delivery provider that specializes in connecting ecommerce shippers to their customers through fast and reliable delivery services. We offer next-day and 2-day delivery options tailored for retailers, marketplaces, and direct-to-consumer brands, along with seamless integration for logistics providers and 3PLs.

Our focus is on technical innovation, our company ensures real-time tracking, SMS updates, and cost-effective solutions to enhance the delivery experience. Our services cover over 11,000 zip codes across the U.S. and Canada, reaching a population of 175 million customers.

Why join us?

&bullet; Competitive Compensation &bullet; Growth role &bullet; Full Benefits, including 401K &bullet; Growing Tech-Focused Company &bullet; PTO and Holiday Pay

Job Details

We are seeking a highly skilled Bilingual (English/Mandarin) 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.

We will sponsor for this role.

Key Responsibilities and Duties:

Data Platform Engineering:

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

Production Support & Operations:

&bullet; Provide technical leadership and operational support for the production data platform environment &bullet; Monitor platform reliability, performance, and availability &bullet; Troubleshoot and resolve production data pipeline and platform issues &bullet; Implement logging, alerting, observability, and operational best practices &bullet; Ensure platform scalability, resiliency, and disaster recovery readiness

Data Processing & Orchestration:

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

Security & Governance:

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

Collaboration & Leadership:

&bullet; Coordinate development activities with offshore teams across multiple time zones &bullet; Participate in architecture reviews, code reviews, and technical design discussions &bullet; Mentor junior engineers and promote engineering best practices &bullet; Partner with BI, analytics, infrastructure, and application teams to support enterprise data initiatives

Education/Qualifications

&bullet; Master’s degree or Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field &bullet; 5+ years of experience in data engineering, big data, or data platform development &bullet; Strong hands-on experience with SQL and Python &bullet; Experience building enterprise-grade ETL/ELT pipelines &bullet; Strong knowledge of distributed data processing and streaming technologies &bullet; Experience supporting production data platforms and mission-critical workloads &bullet; Experience working with offshore or distributed engineering teams &bullet; Strong troubleshooting and performance optimization skills

Required Technical Skills:

Data Engineering & Processing:

&bullet; SQL &bullet; Python &bullet; dbt &bullet; Apache Airflow &bullet; Apache Spark &bullet; Apache Flink &bullet; Apache Kafka

Data Platforms & Storage:

&bullet; Databricks &bullet; Apache Pinot &bullet; Apache Doris &bullet; Data warehouse/lakehouse architectures

Cloud Platforms:

&bullet; AWS and/or Microsoft Azure

Additional Preferred Skills

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

Preferred Qualifications:

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

Key Competencies:

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

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

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More about this job

Skills

Bilingualism
Reporting
Business intelligence
Data engineering
Process data
Data warehouse
ERP
Leadership
Troubleshoot
Implement ICT recovery system
Workflow
Scheduling
Apply information security policies
Regulatory compliance
Data modelling
Collaboration
Computer science
SQL
Python
Troubleshooting
dbt
Apache Airflow
Apache Spark
Apache Kafka
Databricks
AWS
Microsoft Azure
CI/CD
DevOps
Infrastructure as code
IBM Terraform
Kubernetes
Communication skills
Problem solving
Root cause analysis
Process improvement

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Work requirements

Jobs in the United States