数据工程师 III
Data Engineer III
ZoomInfo 是职业加速的地方。我们快速行动，大胆思考，并赋予你实现人生最佳工作的能力。你将与 deeply 关心工作的同事为伍，他们彼此挑战，共同庆祝成功。借助能放大你影响力的各种工具和一个支持你抱负的文化，你不仅仅是在贡献。你将快速实现目标。
**数据工程师 III** 是战略合作伙伴团队数据平台的核心构建者。他们设计并交付 ETL 流水线、语义模型以及支撑跨职能项目（包括市场、财务、销售、法务、人力资源和产品）的基础设施。由于该团队在多个业务单元中以项目/需求为基础运作，此职位需要能够在不同领域之间切换上下文，快速掌握不熟悉的资料，并交付可以依赖而无需持续指导的流水线。
数据工程师 III 有高度的自主权。他们从与业务单元利益相关者协商范围开始，到构建和部署流水线，再到在生产环境中监控它们，全程负责项目。他们遵循团队设定的标准，并随着角色的成长，回馈并改进这些标准。
### **你将做什么：**
数据工程师 III 将在一个已建立的数据栈中工作，其中包括：
- **数据仓库**：Snowflake 作为主要仓库；BigQuery 用于 GCP 原生工作负载
- **数据摄入**：Fivetran 用于 SaaS 到 Snowflake 的拉取；Airflow（在 AWS 上）用于自定义 DAG、基于 Lambda 的提取和 S3 暂存
- **数据建模**：dbt 用于转换和语义层定义
- **定制计算**：Databricks 用于不适合清晰地融入 dbt/Snowflake 的定制建模工作
- **基础设施**：Terraform 用于管理 Fivetran 连接、GCP 基础设施和 AWS 资源
- **版本控制与 CI/CD**：GitHub
- **数据消费**：Tableau 仪表盘；基于语义数据层构建的内部工具
### **职责**
- 在 Fivetran、Airflow、dbt 和 Databricks 上构建并拥有端到端数据流水线 —— 在高级数据工程师的指导下，针对新案例选择合适的工具
- 设计和维护为团队语义层提供数据的 dbt 模型，确保它们经过测试、文档化且可重用
- 直接与市场、财务、销售、法务、人力资源和产品部门的利益相关者合作，明确数据需求并将其转化为流水线规格
- 为 Fivetran 连接器、GCP 资源的 Terraform 管理基础设施做出贡献
查看英文原文
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.
The **Data Engineer III** is a core builder on the Strategic Partnerships team's data platform. They design and ship ETL pipelines, semantic models, and the supporting infrastructure that powers cross-functional initiatives with Marketing, Finance, Sales, Legal, HR, and Product. Because the team operates on a project/intake basis across many business units, this role requires someone who can context-switch between domains, get up to speed on unfamiliar data quickly, and deliver pipelines that stakeholders can rely on without hand-holding.
The Data Engineer III operates with a high degree of autonomy. They own projects end-to-end — from scoping with BU stakeholders, to building and deploying pipelines, to monitoring them in production. They follow the standards set by the team and contribute back to them as they grow in the role.
### **What You'll Do:**
The Data Engineer III will work within an established data stack that includes:
- **Warehousing**: Snowflake as the primary warehouse; BigQuery for GCP-native workloads
- **Ingestion**: Fivetran for SaaS-to-Snowflake pulls; Airflow (on AWS) for custom DAGs, Lambda-based extraction, and S3 staging
- **Modeling**: dbt for transformation and semantic layer definition
- **Custom compute**: Databricks for bespoke modeling work that doesn't fit cleanly into dbt/Snowflake
- **Infrastructure**: Terraform for managing Fivetran connections, GCP infrastructure, and AWS resources
- **Version control & CI/CD**: GitHub
- **Consumption**: Tableau dashboards; internal tools built on top of semantic data layers
### **Responsibilities**
- Build and own end-to-end data pipelines across Fivetran, Airflow, dbt, and Databricks — selecting the right tool for each problem with guidance from the Senior Data Engineer on novel cases
- Design and maintain dbt models that feed the team's semantic layer, ensuring they are tested, documented, and reusable
- Partner directly with stakeholders across Marketing, Finance, Sales, Legal, HR, and Product to scope data requirements and translate them into pipeline specs
- Contribute to Terraform-managed infrastructure for Fivetran connectors, GCP resources, and AWS components
- Follow and contribute to team engineering standards — testing, CI/CD, code review, observability, and documentation
- Independently resolve complex ETL and data quality issues, escalating only when architectural tradeoffs are in play
- Monitor pipelines for SLA compliance and participate in incident response
- Apply data governance practices to ensure PII is handled correctly and BU-specific compliance requirements (Finance, Legal, HR) are met
- Communicate technical concepts clearly to non-technical stakeholders and advise them on what is and isn't feasible
### **What You Bring:**
- 4+ years of professional experience as a Data Engineer, with demonstrated ownership of production pipelines
- Strong SQL and Python; comfortable writing production-grade code, debugging complex pipelines, and optimizing queries
- Hands-on experience with a cloud data warehouse (Snowflake strongly preferred; BigQuery or equivalent acceptable)
- Solid dbt experience — has built and maintained models in a production dbt project
- Experience with orchestration tools — Airflow and Fivetran required; Dagster or equivalent a plus
- Experience with Databricks and Spark for custom modeling and transformation workloads
- Experience with AWS (Airflow, S3, Lambda) and GCP (BigQuery and adjacent services)
- Ability to work autonomously — can take an ambiguous ask, scope it with a stakeholder, and ship a solution with minimal oversight
- Strong communication skills — can explain technical tradeoffs to non-technical partners and adapt style to different audiences
- Security-first mindset; familiar with PII handling and access controls
- Has built something end-to-end before specializing — values broad competence paired with depth
### **Skills**
**Core**: Python, SQL, Snowflake, dbt, Airflow, Fivetran, Databricks, AWS (S3, Lambda, Airflow), GCP (BigQuery), GitHub
**Required**: Experience with CI/CD for data pipelines; experience contributing to a team dbt project; familiarity with Terraform or another IaC tool
#LI-JH1 #LI-Remote
**About us:**
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant [Privacy Notice](https://drive.google.com/file/d/1yiG-k0YX_sW10PiJk_xliDc3W-veJCrK/view?usp=drive_link) for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available [here](https://www.zoominfo.com/legal/nyc-local-law-144-notice).
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.