Senior Data Engineer - Remote, Snowflake Platform Lead
Providence Alaska
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Job summary
Providence is seeking an Experienced Senior Data Engineer to advance the enterprise data platform strategy, architecture, governance, and modernization efforts. This role will help define data standards, drive Snowflake maturity, and migrate legacy data assets into a scalable, governed data ecosystem.
The successful candidate will blend technical expertise with data strategy to strengthen architectural foundations, engineering standards, and operating models for analytics, reporting, AI, and
Qualifications
- + Bachelor's degree in computer science, Business Management, Information Services, or an equivalent combination of education and experience
- + 5 years of related experience; software development preferred.
- + Extensive experience with object-oriented programming in C, Java, Python or equivalent.
- + Experience with source code control systems such as Git.
- + SQL integration development experience with SQL/NoSQL.
- + 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 a part of a multi-disciplinary team.
- + Experience designing and successfully implementing a large project.
- + Experience in a healthcare setting.
Responsibilities
- Define data standards, drive Snowflake platform maturity, and establish governance practices.
- Lead migration of legacy data assets into a scalable, governed enterprise data ecosystem.
- Support analytics, reporting, AI, and data product initiatives with architectural guidance.
Skills
Education
Tools
Job description
Providence is seeking an Experienced Senior Data Engineer to advance the enterprise data platform strategy, architecture, governance, and modernization efforts. This role will help define data standards, drive Snowflake maturity, and migrate legacy data assets into a scalable, governed data ecosystem.
The successful candidate will blend technical expertise with data strategy to strengthen architectural foundations, engineering standards, and operating models for analytics, reporting, AI, and
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