4 дня назад
Senior Data Engineer (Snowflake)
99 369 - 141 957$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Snowflake/BI): Building and optimizing data pipelines, warehouse models, reports, and dashboards with an accent on Snowflake, dbt, SQL, data quality, and scalable data architectures. Focus on designing ETL/ELT systems, implementing real-time data processing, improving data governance and security, and mentoring engineers.
Location: Corporate Office; onsite position
Salary: $99,369–$141,957 annual base salary
Company
is a family-owned, physician-led healthcare provider focused on improving health outcomes for seniors.
What you will do
- Design, develop, and optimize Snowflake data pipelines using efficient ETL and ELT processes.
- Build scalable data models and transformations with dbt and Snowflake.
- Create and maintain complex SQL queries, stored procedures, and user-defined functions.
- Develop reports, dashboards, and analytics solutions with Snowflake-compatible BI tools.
- Improve data quality, integrity, reliability, scalability, and maintainability across systems.
- Document architectures and processes, collaborate with architects and DBAs, and mentor junior engineers.
Requirements
- At least 5 years of experience in data engineering or related roles.
- Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent additional experience; a master’s degree is preferred.
- Extensive Snowflake experience, including data modeling, performance tuning, and security features.
- Strong SQL skills and experience with Python or another programming language.
- Experience with cloud platforms such as AWS, Azure, or GCP; data integration tools; and BI platforms such as Tableau, Power BI, or Looker.
- Spoken and written fluency in English; willingness to travel locally, regionally, or nationally up to 10% and work evenings, weekends, or holidays when needed.
Nice to have
- Experience with real-time data streaming and processing.
- Knowledge of machine learning data requirements.
- Experience with data governance and security best practices.
- Healthcare or finance industry experience.
Culture & Benefits
- Comprehensive employee benefits.
- Career development and advancement opportunities.
- Emphasis on work-life balance.
- Mission-driven work improving healthcare for seniors.
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