ProvidenceRemote
Senior Data Engineer IS - Remote
United States of America
Full Time
10 hours ago
$61 - $31 USD
No H1B
Key skills
SQLPythonShell scriptingLinuxCloud computingData warehousingOLAPDimensional modelingRDBMS fundamentalsJSONParquetAPI integrationsGitCI/CDData ingestion pipelinesSnowflakeFivetranHVRCtrl-MData-quality checksLoggingAlertingAccess controlsSecrets managementHIPAA complianceShellBashPowerShellETLELTData WarehousingAnalyticsCachingMentoring
About this role
Providence is a healthcare organization focused on patient-centered care. The Senior Data Engineer is responsible for designing and developing data-centric applications that support clinical and operational workflows, including building scalable data pipelines and mentoring junior engineers.
Responsibilities:
- 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)
Requirements:
- Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering. Or equivalent educ/experience
- 5 years of related experience; 5-8 years preferred
- Master's degree in Computer Engineering, Computer Science, Mathematics, Engineering -OR- a combination of equivalent education and work experience
- 8 or more years of data development experience
- 5 or more years of production data operations experience
- 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