Data Engineer, Lark - USDS

ce Chat, Docs, Meetings, and cutting-edge Lark AI into a single, cohesive environment.

Responsibilities:

• Design and implement high-concurrency, real-time streaming pipelines (using Flink, Spark Streaming, or Kafka) that serve as the neural network for the Lark ecosystem.
• Lead the design and maintenance of high-quality offline and real-time data warehouses, ensuring robust ETL/ELT processes that consolidate siloed data from across the Lark suite into a unified source of truth.
• Implement automated data validation frameworks and monitoring tools to ensure the accuracy, consistency, and lineage of critical business metrics that drive executive decision-making.
• Research and deploy industry-leading distributed computing frameworks (e.g., Flink, Spark, Presto) to provide a high-performance foundation for massive-scale internal telemetry and cross-functional data assets.
• Analyze complex user requirements to architect and develop high-performance backend software solutions using Java or Go; apply advanced Data Structures, Algorithms, and Microservices principles to optimize workplace productivity and cross-platform data flow.
• Troubleshoot complex production failures and conduct deep-dive bottleneck analysis for distributed engines; design self-healing mechanisms and performance tuning strategies to ensure the 24/7 stability of Lark's global data infrastructure.
• Establish proactive alerting and monitoring to ensure pipeline stability and the security of internal employee data.

Qualifications

Minimum Qualifications:

• Master/PhD in Statistics, Management Science, Economics, Operations Research, or other highly quantitative fields.
• 3+ years of experience in data science or analytics, with a strong track record of performing high-quality analysis on Big Data.
• Strategic Data Science Architect with a proven track record of incubating zero-to-one technologies and driving high-level organizational change by translating complex data insights into actionable strategies for executive leadership.

Preferred Qualifications:

• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
• Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $136800 - $359720 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.