Software Engineer, Data Modeling

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You’re a great fit for the team if:

• You’ve seen the results of underinvestment in data, and want to work at a successful company willing to make investments in data so that it can be even more successful
• You’re a software engineer that enjoys working in and on a data platform with strong analysis skills 
• You’re discontent with “good enough” and need to get to the bottom of bad smelling data, working with subject matter experts and digging in to get to truth

What You Will Do:

• Deliver simple domain-specific datasets to our care-team analysts covering areas of interest such as “how effectively do we answer calls from our patients” and “what is the quality of care that we deliver to our members”, to ease the cognitive burden on users of our data
• Build data infrastructure for ETL and implement data science models on the growing number of datasets we have for patients, employers, doctors, treatments, and outcomes
• Build and maintain high-performance, fault-tolerant, secure, and scalable distributed software systems
• Lead development of various projects and capabilities of the platform
• Automate new data pipelines, validate data, and test your code
• Gather requirements and work cross functionally across internal teams

About You:

• You have 4+ years professional experience as a software developer
• Experience with open-source big data frameworks (Spark, Hadoop), data warehouses (BigQuery, RedShift) and Databases (MySQL, Redis)
• You show strong experience using TDD in a production environment
• You have proficiency with cluster management and parallel processing
• You have experience with SQL, relational databases and ETL techniques
• Experience with data modeling and metadata management