Apache Doris Developer Jobs

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Today

Senior Data Engineer-Mandarin speaking required

Speed Express Montebello, CA

Montebello, CA

Today

$65k+/yr Full time Senior Apache Airflow Apache Doris

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Job Description

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.

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