Data Engineer I IS - Remote

Providence; Renton (WA); Remote; USD 90,000 - 115,000; Full time

Job summary

Providence is seeking a Data Engineer I to design and develop modern, data-centric applications that support clinical and operational workflows across the healthcare system. You will work with cloud technologies, big data platforms, and Snowflake to build scalable data pipelines and intuitive interfaces.

The role emphasizes collaboration with Product, Platform, and Architecture teams, ownership of reliability, security, and cost-efficiency, and mentoring junior engineers while adopting new

Qualifications

• Bachelor’s in CS/Engineering or equivalent experience.
• 1+ year of related data engineering/operations experience.
• Strong SQL and Python skills; experience with cloud data platforms.

Responsibilities

• Design and develop data pipelines with batch/streaming ELT/ETL.
• Monitor and automate pipelines; ensure data freshness and reliability.
• Collaborate with product/architecture teams; document procedures.

Skills

SQL

Python

Shell scripting

Linux

Data warehousing

OLAP modelling

JSON/Parquet

APIs

Git

CI/CD basics

Cloud computing

Education

Bachelor’s in CS/Engineering

Tools

Snowflake

Fivetran

HVR

Ctrl-M

Git

Job description

• Locations Providence Valley Office Park-Renton(HR) (Remote)
• Job Schedule Full time
• FTE 1
• Minimum Salary See Posting
• Maximum Salary See Posting

Job Description

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).
• 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