数据工程师I IS-远程
Data Engineer I IS - Remote
职位概述
Data Engineer I 负责设计和开发支持医疗系统中临床和运营流程的现代数据驱动型应用。这些解决方案利用云技术、大数据平台、数据科学方法和现代软件开发框架。
主要职责包括构建可扩展的数据管道、转换和增强流程、供应层以及与战略计划一致的直观用户界面。该职位还涉及指导初级数据工程师，并为新兴技术的研究和采用做出贡献，以建立可重复的过程和模板。
协作是核心价值观，强调完善的源代码控制和文档编写。理想的候选人能够以简单的方式应对复杂挑战，利用现代工具和技术提供高效的解决方案。
该职位与产品、平台和架构团队紧密合作，确保对齐并成功交付联合项目。
你将负责普罗维登斯企业数据平台的可靠性、安全性和成本效率。你将自动化和监控生产管道，解决事件，并与工程和分析团队合作以满足严格的SLA要求。
你将负责
• 在云服务和Snowflake上自动化和监控批处理/流式ELT/ETL管道；保持数据新鲜和准确。
• 优先处理故障，进行根本原因分析和事后总结，持续降低MTTR。
• 协调调度和依赖关系（例如Ctrl-M）并管理连接器（在Fivetran/HVR中）。
• 使用SQL、Python和shell（Bash/PowerShell）在Linux上构建操作自动化。
• 实现可观测性：日志记录、警报、数据质量检查、审计和运行手册。
• 优化Snowflake性能和成本（仓库、缓存）。
• 强制访问控制和密钥管理，支持合规性和审计需求。
• 与产品/分析团队合作；记录流程并提供可靠的轮班支持。
必备技能
• 熟练使用SQL，同时具备在Linux上使用Python和shell脚本（Bash/PowerShell）的实际经验。
• 具备云计算和关系型平台上的数据仓库经验。
• 熟悉OLAP/维度建模和RDBMS基础。
• 了解半结构化/非结构化数据（JSON/Parquet）和API集成。
• 熟悉工作流编排工具（如Airflow、Apache Nifi、Control-M）
查看英文原文
Role summary
Data Engineer I is responsible for designing and developing modern, data-centric applications that support clinical and operational workflows across the healthcare system. These solutions leverage cloud technologies, big data platforms, data science methodologies, and contemporary software development frameworks.
Key responsibilities include building scalable data pipelines, transformation and enrichment processes, provisioning layers, and intuitive user interfaces aligned with strategic initiatives. This role also involves mentoring junior Data Engineers and contributing to the research and adoption of emerging technologies to establish repeatable processes and templates.
Collaboration is a core value, with a strong emphasis on thorough source control and documentation. The ideal candidate approaches complex challenges with simplicity, utilizing modern tools and techniques to deliver efficient solutions.
This position works closely with Product, Platform, and Architecture teams to ensure alignment and successful delivery of joint initiatives.
In this role you will own the reliability, security, and cost-efficiency of Providence’s enterprise data platform. You will automate and monitor production pipelines, resolve incidents and partner with engineering and analytics teams to meet strict SLAs.
What you’ll own
• Automation and monitoring batch/streaming ELT/ETL pipelines across cloud services and Snowflake; keep data fresh and
accurate.
• Triaging failures, performing root-cause analyses and post-mortems, and continuously reducing MTTR.
• Orchestrating schedules and dependencies (e.g., Ctrl-M) and managing connectors (in Fivetran/HVR).
• Building operational automation with SQL, Python, and shell (Bash/PowerShell) on Linux.
• Implementing observability: logging, alerting, data-quality checks, audits, and runbooks.
• Optimizing Snowflake performance and spend (warehouses, caching).
• Enforcing access controls and secrets management, supporting compliance and audit needs.
• Partnering with product/analytics teams; documenting procedures and providing reliable on-call support (rotational).
Essential Skills
• Strong SQL, plus hands-on Python and shell scripting (Bash/PowerShell) on Linux.
• Experience with cloud computing and data warehousing on relational platforms.
• Solid understanding of OLAP/dimensional modeling and RDBMS fundamentals.
• Knowledge of semi/unstructured data (JSON/Parquet) and API integrations.
• Familiarity with open-source ELT/ETL tooling.
• Git-based workflows and CI/CD basics for data deployments.
• Experience building and managing data ingestion pipelines from multiple sources into cloud data platforms.
• Working knowledge of Snowflake, including database objects, warehouses, and basic query optimization.
Nice to have
• Snowflake administration experience (account management, RBAC, resource monitors, storage/warehouse configuration, network policies).
• Fivetran and/or HVR (Fivetran HVR) experience or equivalent CDC/replication tools.
• Snowflake operations expertise (performance tuning, Streams/Tasks, Snowpark), plus knowledge of Snowflake AI features.
• Streamlit for lightweight internal apps and operational dashboards.
• Experience with enterprise schedulers (e.g., Ctrl-M) and data-quality/observability platforms.
• Background in regulated environments (e.g., healthcare/HIPAA) and service management (e.g., ServiceNow).
We are accepting applications from candidates who reside within 65 miles of:
- Renton, Redmond, or Seattle, WA
- Portland, OR
- Napa or Irvine, CA
- Lubbock, TX
Required Qualifications:
- Bachelor’s in CS/Engineering or equivalent experience; senior-level hands-on ownership of production data operations.
- 1 or more year of related experience in Snowflake, CTRL-M, and ADF.
Preferred Qualifications:
· Master's degree in computer engineering, Computer Science, Mathematics, Engineering, or an equivalent combination of education and experience
Salary Range by Location:
California: All Northern California - Except Humboldt: Min: $52.79, Max: $81.94
California: All Southern California - Except Bakersfield: Min: $47.05, Max: $73.04
Oregon: Portland Service Area: Min: $45.14, Max: $70.07
Texas: Min: $34.43, Max: $53.44
Washington: Western: Min: $47.05, Max: $73.04
Why Join Providence?
Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security. We take care of you, so you can focus on delivering our Mission of caring for everyone, especially the most vulnerable in our communities.
Originally posted on Himalayas