About Our Client: The organization operates in the healthcare sector, addressing the challenges of integrating clinical and operational workflows through advanced data solutions. It focuses on leveraging cloud technologies, big data platforms, and data science methodologies to enhance healthcare delivery and operational efficiency across multiple states. The company supports a broad network of hospitals, clinics, and social services, serving vulnerable populations and advancing healthcare practices. About the Opportunity: The DATA ENGINEER I is responsible for designing, developing, and maintaining scalable data-centric applications and pipelines that support critical healthcare workflows. This role ensures the reliability, security, and cost-efficiency of the enterprise data platform, automating and monitoring data pipelines, resolving incidents, and collaborating with multiple teams. The position plays a vital role in delivering accurate and timely data, which underpins strategic initiatives and operational decisions. Responsibilities: Design and develop scalable data pipelines and transformation processes. Automate and monitor batch and streaming ELT/ETL pipelines using cloud services and Snowflake. Troubleshoot failures and perform root-cause analysis and post-mortems to reduce mean time to recovery. Manage orchestration schedules and dependencies with tools like Ctrl-M and data connectors such as Fivetran and HVR. Build operational automation using SQL, Python, and shell scripting on Linux. Implement observability features including logging, alerting, data-quality checks, audits, and runbooks. Optimize Snowflake performance and manage costs. Enforce access controls and secrets management to support compliance and audits. Collaborate with product and analytics teams; document procedures and provide on-call support within a rotational schedule. 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 skills in SQL, 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-structured data formats (JSON/Parquet) and API integrations. Familiarity with open-source ELT/ETL tools. Experience with Git workflows and CI/CD for data deployments. Ability to build and manage data ingestion pipelines from multiple sources into cloud platforms. Working knowledge of Snowflake database objects, warehouses, and query optimization. Pay Range and Compensation Package: Salary ranges vary by location, for example, in Northern California: $52.79 to $81.94 per hour. Placement within the range depends on relevant experience and other factors. Additional compensation may include shift differentials, on-call pay, overtime, premiums, incentives, or bonuses. Benefits & Perks: 401(k) retirement savings plan. 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 a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.