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Data Engineer I IS - Remote

Support StaffFull time
✓Requirements
Education
✓Bachelor’s in CS/Engineering or equivalent experience
Fivetran and/or HVR (Fivetran HVR) experience or equivalent CDC/replication tools. preferred
Master's degree in computer engineering, Computer Science, Mathematics, Engineering, or an equivalent combination of education and experience preferred
Qualifications
✓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.
✓senior-level hands-on ownership of production data operations.
✓1 or more year of related experience in Snowflake, CTRL-M, and ADF.
Snowflake administration experience (account management, RBAC, resource monitors, storage/warehouse configuration, network policies). preferred
Snowflake operations expertise (performance tuning, Streams/Tasks, Snowpark), plus knowledge of Snowflake AI features. preferred
Streamlit for lightweight internal apps and operational dashboards. preferred
Experience with enterprise schedulers (e.g., Ctrl-M) and data-quality/observability platforms. preferred
Background in regulated environments (e.g., healthcare/HIPAA) and service management (e.g., ServiceNow). preferred
W e are accepting applications from candidates who reside within 65 miles of: preferred
Renton, Redmond, or Seattle, WA preferred
Portland, OR preferred
Napa or Irvine, CA preferred
Lubbock, TX preferred
Pay for this position
Pay not listed
Apply to Providence Health ↗
Questions about pay or the unit? Ask a Waypoint recruiter.
✓You’ll need
Education
✓Bachelor’s in CS/Engineering or equivalent experience
Fivetran and/or HVR (Fivetran HVR) experience or equivalent CDC/replication tools. preferred
Master's degree in computer engineering, Computer Science, Mathematics, Engineering, or an equivalent combination of education and experience preferred
Qualifications
✓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.
✓senior-level hands-on ownership of production data operations.
✓1 or more year of related experience in Snowflake, CTRL-M, and ADF.
Snowflake administration experience (account management, RBAC, resource monitors, storage/warehouse configuration, network policies). preferred
Snowflake operations expertise (performance tuning, Streams/Tasks, Snowpark), plus knowledge of Snowflake AI features. preferred
Streamlit for lightweight internal apps and operational dashboards. preferred
Experience with enterprise schedulers (e.g., Ctrl-M) and data-quality/observability platforms. preferred
Background in regulated environments (e.g., healthcare/HIPAA) and service management (e.g., ServiceNow). preferred
W e are accepting applications from candidates who reside within 65 miles of: preferred
Renton, Redmond, or Seattle, WA preferred
Portland, OR preferred
Napa or Irvine, CA preferred
Lubbock, TX preferred

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About the role

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.