Komodo Health is transforming healthcare predictive analytics with its proprietary data cloud and streaming data analytics platform. Our real-time healthcare intelligence engine provides life sciences business leaders with the tools to modernize and improve the way they engage and serve the medical community.

The Data Engineering (DE) team is looking for a Data Warehouse Engineer to help us architect, design and implement a scalable, reliable and automated Data Warehouse for the managing all of the data that drives our products. The ideal candidate will be comfortable going from the whiteboard design of a system all the way to the nuances of implementation.

This is an opportunity to join a growing company, and be a part of a team of folks accomplished in diverse Engineering disciplines; focused on using the best of what lies at the forefront of technology and skills to address complex, real-world problems in the Healthcare and Life Science space. Some of the tools we use are: Python, Spark, AWS, Kubernetes, Docker, Postgres, Git, Airflow and Flask.

RESPONSIBILITIES

• Design and develop a state of the art data warehouses for the core data that drives our products.
• Design and develop data models and schemas for our core data using big data technologies.
• Work across multiple teams to automate and orchestrate the flow of data into our data warehouse.
• Evaluate new technologies for continuous improvements in Data Engineering.
• Produce high quality production ready code in an agile environment.
• Collaborate closely with the product team to build new data features for our core product.
• Work with the data scientists to implement data warehouse artifacts that would allow us to generate the data science.
• Develop tools to monitor, debug and analyze the data pipeline.
• Develop tools to automate, configure and operate our data pipelines.

• BS or MS in Computer Science or related degrees.
• 3+ years of relevant professional experience with demonstrated use of similar skills and technologies required.
• 1+ years of experience developing data warehouses using big data technologies like Snowflake, PostgreSQL, Parquet, Spark, Redshift, Hadoop and/or AWS, etc.
• Experience with...
  • Designing and implementing data warehouses using big data technologies.
  • Python, Scala or Java coding experience, proficiency with at least one of them is required.
  • Distributed systems for data processing tools such as Spark, Hadoop, Kubernetes, etc.
  • SQL and Relational Databases, like PostgreSQL.
• Experience with planning, launching and refactoring of a data warehouses.
• History of excellence and responsibility in previous engineering positions.
• Ability to work as part of a collaborative team in a fast-paced environment.
• Sincere interest in working at a startup and scaling with the company as we grow.

Nice to Have

• Snowflake experience
• Workflow & pipeline systems, like Airflow, etc.
• Continuous integration and automation tools and processes, like Jenkins.
• Experience or interest in the life sciences industry.
• Basic knowledge (college level or hands on) of machine learning and statistics.
• Experience with graph databases.

• Competitive salary and equity compensation.
• Full Medical, Dental, and Vision benefits.
• 401k plan with employer match.
• Flexible Spending Account (FSA) - Health and commuter benefits.
• Your choice of equipment set-up (computer, monitor, and accessories).
• Flexible hours and unlimited vacation days policy.
• Opportunities to attend industry conferences and events.
• Awesome team and culture.
• Great office locations in San Francisco (SF/SOMA) and New York (NY/West SoHo).
• and more...