Senior Data Engineer at Workstream

Shanghai, Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Bachelor’s/Master’s degree in Computer Science, Data Science, or a related quantitative field
Proficiency in Python and software engineering
Proven experience as a Data Engineer, with a solid understanding of SQL, and Big Data technologies
Expertise in containerization and orchestration technologies like Docker and Kubernetes
Knowledge of vector stores, databases, and data warehousing concepts
Experience in deploying, and monitoring ML API services using Flask or FastAPI
Strong project management skills, with the ability to collaborate effectively with cross-functional teams

Responsibilities

Design, build, and maintain efficient, reliable, and complex ETL pipelines to process and analyze large volumes of data from various sources
Develop and enhance our data lakehouse, driving data quality across departments and building self-service tools for analysts
Define, build, and own data architecture for a trusted, governed, dimensionally-modeled repository of data
Collaborate with cross-functional teams including data scientists to assist in deploying and monitoring machine learning models in production environments
Help data scientists develop and maintain ML API services for seamless integration into the company's infrastructure
Apply knowledge of real-time, streaming, and batch processing concepts to optimize model performance and data handling
Participate in code and design reviews to maintain high development standards

Skills

Key technologies and capabilities for this role

PythonSQLDockerKubernetesETLData LakehouseData WarehousingVector StoresMachine LearningStreamingBatch Processing

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What are the required skills for this Senior Data Engineer role?

Required skills include proficiency in Python and software engineering, experience as a Data Engineer with SQL and Big Data technologies, expertise in Docker and Kubernetes, knowledge of vector stores, databases, and data warehousing, and experience deploying ML API services with Flask or FastAPI.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Workstream?

Workstream is a mission-driven company focused on providing software solutions for hourly businesses, serving leading brands and backed by prominent VCs, with an emphasis on collaboration across cross-functional teams including data scientists.

What makes a strong candidate for this position?

A strong candidate holds a Bachelor’s/Master’s in Computer Science or related field, has proven Data Engineering experience, strong Python/SQL skills, expertise in Docker/Kubernetes and ML deployment, plus preferred experience with tools like DBT, Snowflake, or streaming vendors.

Workstream

HR platform for hiring and onboarding

About Workstream

Workstream.us is a platform that helps businesses streamline their hiring and onboarding processes, particularly for hourly workers. It offers tools for applicant tracking, digital onboarding, payroll management, and employee engagement, all designed to attract and engage job candidates effectively. The platform uses artificial intelligence to automate HR tasks, allowing businesses to focus more on their employees. Workstream differentiates itself by providing a comprehensive suite of HR solutions tailored for hourly worker employment, with a subscription-based revenue model.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$114.8MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees