Senior Analytics Engineer

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!

The US national starting annual base pay for this role is $116,000—$193,100 USD

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