Principal Data Engineer IS - Remote
Providence · United States
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
Providence is seeking a highly experienced Principal Data Engineer to lead the evolution of the organization's enterprise data platform strategy, architecture, governance framework, and modernization initiatives.
This role will serve as the technical leader responsible for defining data standards, driving Snowflake platform maturity, establishing governance and metadata practices, and completing the migration of legacy data assets into a scalable, governed, and reusable enterprise data ecosystem.
The successful candidate will combine deep technical expertise with strategic leadership to create the architectural foundations, engineering standards, and operating model required to support the next generation of enterprise analytics, reporting, AI, and data products. Required Qualifications:
Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering or, equivalent educ/experience
8 years Related experience; software development preferred with increasing scope and responsibilities.
Extensive experience with object-oriented programming in C#, Java, Python or equivalent.
Experience with source code control systems such as Git and how to successfully use them in across multiple teams.
Extensive SQL integration development experience with SQL/noSQL.
Extensive experience with Agile software development methodologies and tools such as Azure DevOps, TFS, and Jira.
Proven track record of working both independently and collaboratively as part of a multi-disciplined team.
Extensive experience with Azure/AWS/hybrid and other cloud technologies.
Experience designing and successfully implementing a highly complex project.
Preferred Qualifications
1. Enterprise Data Architecture Design enterprise data models and platform standards.
2. Data Governance & Metadata Management Define ownership, lineage, metadata, and data quality standards.
3. Legacy Migration & Data Refactoring Lead database migrations, consolidation efforts, and data modernization programs.
4. Snowflake Platform Expertise Design and optimize secure, scalable, and cost-effective Snowflake solutions.
5. Data Integration & Ingestion Architecture Design ingestion patterns for APIs, SaaS platforms, CDC, batch, and event-driven sources.
6. DataOps Standards & Technical Leadership Establish CI/CD, deployment standards, repository governance, and engineering best practices.
Salary Range by Location
AK: Anchorage: Min: $68.33, Max: $116.36
AK: Kodiak, Seward, Valdez: Min: $71.23, Max: $121.29
California: Humboldt: Min: $71.23, Max: $121.29
California: Northern California - Except Humboldt: Min: $79.92, Max: $136.08
California: Southern California: Min: $71.23, Max: $121.29
Montana: Except Great Falls: Min: $55.01, Max: $93.68
Montana: Great Falls: Min: $52.12, Max: $88.75
Oregon: Non-Portland Service Area: Min: $63.70, Max: $108.47
Oregon: Portland Service Area: Min: $68.33, Max: $116.36
Texas – Lubbock, Levelland, Plainview: Min: Min: $52.12, Max: $88.75
Washington: Western: Min: $71.23, Max: $121.29
Washington: Southwest - Olympia, Centralia: Min: $68.33, Max: $116.36
Washington: Clark County: Min: $68.33, Max: $116.36
Washington: Eastern: Min: $60.81, Max: $103.54
Washington: Southeastern: Min: $63.70, Max: $108.47
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.
Accepting a new position at another facility that is part of the Providence family of organizations may change your current benefits. Changes in benefits, including paid time-off, happen for various reasons.
These reasons can include changes of Legal Employer, FTE, Union, location, time-off plan policies, availability of health and welfare benefit plan offerings, and other various reasons. Originally posted on Himalayas
Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- What data engineers do insteadevery measured route out
- Data Architect → Data Engineer47% readiness
- Data Analyst → Data Engineer30% readiness
- All open data engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data engineer’s profile already covers.
- 22 open data architect roles90% readiness from data engineer
- 588 open solutions architect roles61% readiness from data engineer
- 212 open data analyst roles59% readiness from data engineer
- 29 open database administrator roles57% readiness from data engineer
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