1. About Our Client:
The organization operates in the healthcare sector, addressing the challenges of managing and utilizing large-scale clinical and operational data across a comprehensive health system. It provides data-centric solutions that support healthcare workflows through cloud technologies, big data platforms, and data science methodologies. With a network spanning over 50 hospitals and 1,000 clinics across multiple states, the program aims to improve care delivery for vulnerable populations while advancing best practices in healthcare data management.
2. About the Opportunity:
The Data Engineer I is responsible for designing and developing scalable data applications that support clinical and operational workflows within the healthcare system. This role ensures the reliability, security, and cost-efficiency of the enterprise data platform by automating and monitoring data pipelines, resolving incidents, and collaborating with product and analytics teams. The position contributes by maintaining high data quality and operational standards to meet strict service level agreements.
3. Responsibilities:
- • Design and develop scalable data pipelines and transformation processes
- • Automate and monitor batch and streaming ELT/ETL pipelines across cloud services and Snowflake
- • Perform triage for pipeline failures, conduct root-cause analysis, and reduce mean time to recovery
- • Orchestrate schedules and manage data connectors
- • Build operational automation using SQL, Python, and shell scripting
- • Implement observability with logging, alerting, data-quality checks, and runbooks
- • Optimize Snowflake performance and manage costs
- • Enforce access controls and manage secrets to support compliance and audits
- • Partner with product and analytics teams, document procedures, and provide on-call support
4. Requirements:
- • Bachelor’s degree in Computer Science, Engineering, or equivalent experience
- • Minimum one year of experience with Snowflake, CTRL-M, and Azure Data Factory
- • Strong SQL skills and hands-on experience with Python and shell scripting on Linux
- • Experience with cloud computing, data warehousing, and relational database fundamentals
- • Knowledge of OLAP/dimensional modeling and semi/unstructured data formats
- • Familiarity with open-source ELT/ETL tools, Git workflows, and CI/CD practices for data deployments
- • Experience building and managing data ingestion pipelines into cloud data platforms
- • Working knowledge of Snowflake database objects and basic query optimization
5. Pay Range and Compensation Package:
- • California Northern: $52.79 to $81.94 per hour
- • California Southern: $47.05 to $73.04 per hour
- • Oregon Portland: $45.14 to $70.07 per hour
- • Texas: $34.43 to $53.44 per hour
- • Washington Western: $47.05 to $73.04 per hour
6. Benefits & Perks:
- • Medical insurance
- • Dental insurance
- • 401(k) retirement plan
- • Paid maternity leave
- • Paid paternity leave
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.
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Data Engineer I IS - Remote
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