The Opportunity at Komodo Health

The Senior Analytics Engineer is responsible for integrating data into the Enterprise Data Warehouse (EDW) from various internal and SaaS sources using a cloud ELT platform, AWS Lambda/Glue, and Python to support downstream teams with reporting (Snowflake, Databricks or Redshift).

You will work with Product, Technology, and Compliance & Security teams to identify source data locations as well as extract-load and transform source data into usable metrics for business consumption.

You will work with our Product, Technology, and Compliance & Security teams in an Agile capacity to continue to provide customer-obsessed service in the day-to-day while also defining roadmaps/plans for the delivery of innovative data solutions.

Looking back on your first 12 months at Komodo Health, you will have…

• Implemented data pipelines between source and target systems using various methods
• Operated as an ELT / Analytics Engineer to develop, maintain, and curate data sources for consumption
• Worked with cross-functional stakeholders to plan, schedule, develop and deploy migration efforts to Snowflake data warehouse
• Developed models from landing DB to various destination schemas (incremental tables, views, and tables)

What you bring to Komodo Health:

• Technology background, especially in cloud-based architecture with a deep understanding of software development and a passion for data and analytics
• Experience with linear and non-linear regression models and predictive forecasts using open source frameworks 
• Experience with end-to-end data and algorithm pipeline and DAG development as well as orchestration tools such as Snowflake, DBT, Git, Airflow, Data Science IDEs, etc
• High proficiency in Python and SQL
• Experience with AWS Lambda functionality and AWS security
• Data Engineering background is a plus!

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