Senior Data Analytics Engineer

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Requirements:

• 5+ years of software/data engineering experience, including distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality.
• Expertise in SQL and familiarity with Python.
• Experience in building scalable data pipelines, query optimization, PostgreSQL tuning, and data modeling.
• Experience working with orchestration tools (especially Argo), databases (especially PostgreSQL), and data warehouses (especially Snowflake).
• Familiarity with distributed event-driven architectures; NATS experience is a plus.
• Familiarity with healthcare or insurance is beneficial.
• Ability to learn quickly and mentor others.

Responsibilities:

• Build, optimize, and maintain data pipelines that power the business.
• Define and build out abstracted reusable data sets for Business Intelligence, Marketing, and Data Science Research.
• Design, build, and evangelize a federated data validation framework to monitor potential data inconsistencies.
• Protect users’ privacy and security through best practices.