SENIOR DATA ENGINEER

Reports to: Chief Technology Officer

Summary of position:

Benefits Science Technologies is a data science and technology firm founded out of MIT and innovating at the intersection of analytics, healthcare, and software development. We are building THE data science-driven engine to help clients manage risk related to healthcare and insurance - empowering them to make optimal decisions to control costs and improve quality of care for their members. Our passion is finding unique answers to complex questions and continually redefining the leading edge.


We are looking for a passionate Senior Data Engineer to join us in building the next generation data analytics platform and maintaining the existing products and services used by thousands of companies. This is a full time, salaried position with salary commensurate with education, experience, and contribution.

Duties & Responsibilities:

● Define or redefine big data stack and revamp the data processing infrastructure and platform when necessary

● Architect and rearchitect multi-tenant databases to meet the needs of our rapidly growing customer base

● Streamline and automate the ETL process, dealing with thousands of data sources

● Improve data validation and data quality monitoring

● Optimize and tune the databases to improve performance and reduce cost

● Enhance and monitor data privacy and security to ensure HIPAA compliance

● Collaborate with the operation team to improve and maintain our existing ETL pipeline

● Collaborate with colleagues from engineering and business backgrounds; generally working as part of a team rather than in a supervisory role

● Must pass initial and periodic background checks, and comply with all applicable HIPAA and Security regulations, including maintaining HIPAA Awareness and Security Certification

● Must be available and able to work during standard business hours in the Benefits Science office in Boston, MA, as well as at other times as needed

Qualifications:

● Minimum BS in Computer Science, Electrical Engineering or equivalent

● Minimum 5+ years experience building large scale, cost effective and robust data processing platforms

● Demonstrable experience creating multi tenant databases and ETL pipelines

● Strong experience in database schema design, analytics data modeling

● Strong SQL programming and query optimization

● Experience with Spark, EMR, Presto, Hive, Scala, Redshift, Pentaho, SQL, etc.

● Experience with Linux, Shell Script and Python

● Experience with AWS and/or Azure cloud

● Good understanding of data security and encryption

● Healthcare Insurance Domain experience strongly preferred

● Ability to work effectively as part of a team, with strong interpersonal and communication skills

● Fluent in English (both verbal and written)