2 часа назад
Lead Data Engineer (Snowflake)
102 900 - 190 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead Data Engineer (Snowflake): Leading the development and operationalization of high-volume data pipelines for reporting and advanced analytics with an accent on data ingestion, transformation, validation, and orchestration. Focus on real-time processing, data reliability and quality, pipeline optimization, and collaboration with DevSecOps on continuous integration and deployment.
Location: Remote-MO
Salary: $102,900–$190,500 per year
Company
connects people with the care they need and works to make healthcare more accessible and effective.
What you will do
- Lead the development and operationalization of data pipelines for reports and advanced analytics.
- Design and implement standardized procedures for data staging, ingestion, preparation, provisioning, and destruction.
- Lead the design, development, testing, documentation, and operation of large-scale, high-volume data structures.
- Develop and maintain real-time processing applications and data pipelines.
- Improve data reliability, efficiency, quality, and automation across ’s environments.
- Collaborate with DevSecOps engineering on continuous integration and continuous deployment.
Requirements
- Bachelor’s degree in statistics, mathematics, engineering, computer science, business, or a related quantitative field, or equivalent experience.
- 5–7 years of related experience.
- Advanced experience with data modeling, data manipulation, data mining, and data analysis strategy.
- Advanced SQL knowledge.
- Knowledge of Snowflake and experience with Databricks.
- Ability to work independently, manage multiple projects, communicate recommendations, and make sound technical decisions.
Culture & Benefits
- Work that supports individuals, families, and communities through more accessible and effective healthcare.
- Health insurance, 401(k), stock purchase plans, tuition reimbursement, paid time off, and holidays.
- Flexible work approaches, including remote, hybrid, field, and office schedules.
- Equal opportunity employment and consideration for qualified applicants regardless of protected characteristics.
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