Position Summary

We are seeking a highly skilled 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

Data Platform Engineering

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

Collaboration & Leadership

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

Data Engineering & Processing

SQL
Python
dbt
Apache Airflow
Apache Spark
Apache Flink
Apache Kafka

Data Platforms & Storage

Databricks
Apache Pinot
Apache Doris
Data warehouse/lakehouse architectures

Cloud Platforms

AWS and/or Microsoft Azure

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

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

Equal Employment Opportunity

Pay: From $65,000.00 per year

Benefits:

401(k)
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance

Work Location: In person

Speed Express

New Jobs

Senior Data Engineer-Mandarin speaking required