数据工程师

Our client is an award-winning North American manufacturing organization undergoing rapid, sustained hyper-growth. The Data Engineer is a core individual contributor on the Data & Analytics team, responsible for building and maintaining data pipelines and transformation models that power analytics, reporting, and business intelligence across the organization. The role involves data pipeline development, data transformation & modeling, data quality & reliability, source system integration, documentation & enablement, collaboration & stakeholder partnership, performance & optimization, and engineering standards. Candidates must have 3–5 years of experience in data engineering or analytics engineering, strong SQL expertise, hands-on experience with Snowflake, dbt, and ELT tools, and comfort with AI-assisted development.

3–5 years of experience in data engineering or analytics engineering. Strong SQL expertise with a track record of building production-ready datasets. Hands-on experience with Snowflake, dbt, and ELT tools. Curious about the business context behind data and analytics. Comfortable working independently in a remote environment. Interested in leveraging AI to modernize and accelerate data engineering workflows. Bachelor’s degree in Computer Science, Information Systems, Data Science, or equivalent experience. 3–5 years of experience building and maintaining cloud-based data pipelines. Advanced SQL skills and strong data modeling fundamentals. Experience with Snowflake, dbt, and Fivetran. Proficiency in Python for scripting and integrations. Comfortable with Git, code reviews, and CI/CD. Experience using AI coding assistants in data engineering workflows.

薪酬范围：120,000–150,000美元 + 奖励

我们的客户是一家荣获奖项的北美制造组织，正处于快速持续增长的阶段。该组织拥有全国性的制造足迹和强大的工程卓越声誉，为技术、数据中心、能源、医疗、公用事业和工业基础设施等行业提供高度定制化的关键产品。