
Senior IT Data Engineer
Posted Sep 15

Posted Sep 15
This is a fully remote position, open to applicants in California, +2 more states.
• Design and construct scalable data pipelines, ETL/ELT processes, and data models for analytics, clinical, and operational users.
• Lead data engineering initiatives from requirement gathering to production deployment.
• Oversee technical quality and ensure delivery milestones are met.
• Develop and enhance SQL, Python, and pipeline code for improved performance, reliability, and maintainability at scale.
• Contribute to decisions regarding data platform architecture, including storage design, processing methodologies, and selection of tools.
• Identify data quality concerns and collaborate with source system owners to facilitate resolution and implement preventive measures.
• Establish engineering standards for pipeline development, encompassing testing, documentation, and version control.
• Mentor junior data engineers and play a role in enhancing team capabilities.
• Work autonomously on projects that have enterprise-wide impact with minimal supervision.
• Act as a technical expert on complex data issues and influence methods, policies, and procedures.
• A Bachelor’s degree is required.
• 4-6 years of experience in data engineering.
• Proficient in advanced SQL.
• Strong skills in Python for data pipeline development.
• Extensive experience with data pipeline tools such as dbt, Azure Data Factory, Airflow, or Informatica.
• Familiarity with cloud data platforms.
• Experience in data modeling, including dimensional design, data vault, or medallion architecture patterns.
• Proven ability to independently manage data engineering projects.
• Professional-level certification in cloud or data engineering is preferred.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible work hours and remote work options.
• Opportunities for professional development and training.
• Generous paid time off and holiday schedule.
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