Data Engineer

We provide an employer-based solution that gives employees and their families the technology, information and support they need to make life’s most critical choices--whether and where to receive medical treatment. The fastest way for employers to curb healthcare costs without cutting corners, we delivers enhanced patient outcomes and engagement to groups ranging from 1,000-member firms to Fortune 50 employers.

We’re looking for an experienced data engineer with a strong technical background and a passion for data and its supporting infrastructure. You love the hands-on work but are equally excited about growing a team and evangelizing best practices within it. You’ll be working closely with our Engineering and Data Science teams to build and automate our data pipelines and warehousing systems. These services power our application and fuel our data-hungry Data Science team.  Simultaneously, you’ll be helping our patients to achieve better healthcare outcomes.

RESPONSIBILITIES

Build data infrastructure to ingest, extract and transform the growing number of data sets we have for patients, employers, doctors, treatments, and outcomes
Build and maintain high-performance, fault-tolerant, secure, scalable distributed software systems
Lead development of architecture and standards for various data warehouses
Build data expertise and own data quality for the pipelines you build
Architect, build and launch new data models that provide intuitive analytics to your data customers
Implement tools that helps your data customers to extract, analyze, and visualize data faster
Evaluate new technologies and build prototypes for continuous improvements in data infrastructure and engineering
Ensure instrumentation,
logging, and monitoring is in place

QUALIFICATIONS

Bachelor’s degree in computer science
5+ years professional experience as a software developer designing and creating tooling and automation for data pipelines
Expert proficiency with key management and processing and storing encrypted information
Strong experience using TDD in a production environment
Have good API design skills (straightforward, unsurprising, defensible)
Expert proficiency with cluster management and parallel processing
Mastery of SQL and experience with relational databases and ETL techniques
Proven ability to work with varied forms of data infrastructure, including relational databases, Mapreduce/hadoop, and column store (e.g. Vertica/Redshift)