Providence

Senior Data Engineer, Data Operations

Providence

full-time

Posted on:

Location Type: Remote

Location: Remote • Alaska, California, Montana, Oregon, Texas, Washington • 🇺🇸 United States

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Salary

💰 $4,630 - $10,439 per month

Job Level

Senior

Tech Stack

CloudETLLinuxPythonRDBMSShell ScriptingSQL

About the role

  • Designing and developing modern, data-centric applications that support clinical and operational workflows across the healthcare system
  • Building scalable data pipelines, transformation and enrichment processes, provisioning layers, and intuitive user interfaces
  • Mentoring junior Data Engineers
  • Contributing to the research and adoption of emerging technologies
  • Automating and monitoring production pipelines
  • Resolving incidents and partnering with engineering and analytics teams to meet strict SLAs
  • Orchestrating schedules and dependencies and managing connectors
  • Implementing observability: logging, alerting, data-quality checks, audits, and runbooks
  • Optimizing Snowflake performance and spend
  • Enforcing access controls and secrets management
  • Partnering with product/analytics teams; documenting procedures and providing reliable on-call support

Requirements

  • Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering -OR- a combination of equivalent education and work experience
  • 5 or more years of related experience
  • Master's degree in Computer Engineering, Computer Science, Mathematics, Engineering -OR- a combination of equivalent education and work experience (preferred)
  • 5 or more years of data warehousing experience (preferred)
  • Strong SQL experience (preferred)
  • Hands-on Python and shell scripting (Bash/PowerShell) on Linux (preferred)
  • Experience with cloud computing and data warehousing on relational platforms (preferred)
  • Solid understanding of OLAP/dimensional modeling and RDBMS fundamentals (preferred)
  • Knowledge of semi/unstructured data (JSON/Parquet) and API integrations (preferred)
  • Familiarity with open-source ELT/ETL tooling (preferred)
  • Git-based workflows and CI/CD basics for data deployments (preferred)
Benefits
  • Health care benefits (medical, dental, vision)
  • 401(k) Savings Plan with employer matching
  • Life insurance
  • Disability insurance
  • Paid parental leave
  • Paid time off
  • Vacations
  • Holidays
  • Well-being resources

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data-centric applicationsdata pipelinestransformation processesuser interfacesSQLPythonshell scriptingcloud computingdata warehousingOLAP
Soft skills
mentoringcollaborationincident resolutiondocumentationon-call support
Certifications
Bachelor's DegreeMaster's Degree
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