Data Engineer / Backend Developer -- Healthcare Analytics

THE COMPANY

JOB DESCRIPTION

• Program in a variety of languages and platforms to automate the processing of patient-level healthcare transactions, third party data sources and aggregated public health data.
• Serve as the data wrangler and ETL expert for the company. Ingest, transform, cleanse and augment internal and external data assets.
• Build algorithms for fuzzy matching, de-duplication and rule-based de-identification. Fully indulge your love for math, statistics and logical problem solving.
• Leverage the main toolsets: Python, Anaconda stack (Jupyter Notebook, NumPy, Pandas, MatPlotLib/Bokeh, SciPy, Scikit-Learn), Postgres, Apache Airflow, Spark, TensorFlow and several AWS services (EC2, RDS, S3, Lambda, Redshift).
• Lead data modeling, database design and performance optimization. Write SQL for defining database objects and performing manipulations. Leverage graph databases for network analysis.
• Continuously learn by investigating and adopting new technologies.

REQUIREMENTS

• Computer Science degree from a respected university program. Masters preferred or Bachelors with history of accomplishments.
• Two experience levels available:

1. 5+ years of full-time experience or demonstrated accomplishments in software development. OR
2. Recent university graduate with Computer Science degree from a top tier program.

• Demonstrated mastery with Python and its ecosystems of data manipulation libraries. (Also beneficial to have knowledge of other data science tools, such as R or SAS.)
• Must demonstrate mastery through successfully completed internship or a personal project outside of the classroom.
• High level of expertise in SQL, relational database optimization, stored procedures and data modeling. Understanding of or desire to learn graph database concepts.
• Mastery of Linux command line, shell utilities and Git / GitHub.
• Understanding of methods to ingest and process non-relational JSON and XML formatted data.
• Experience with scalable cloud data services. AWS RDS and Redshift are preferred, but Azure or GCP are good too.
• Familiarity with concepts used by ETL tools (such as SSIS, Informatica and Talend) is a plus, but an ability to create more purpose-built solutions by leveraging open source tools is a must. We love Open Source and so should you!
• Desire to be an expert in healthcare and passionate about making an impact in this field. Experience with healthcare claims and clinical data is beneficial. Understanding of HIPAA compliance is a plus.

BENEFITS

• Fully remote team means you’ll benefit from a work environment optimized for a truly remote company culture, which provides a fulfilling work experience and career growth opportunities 
• Fun, energetic, collaborative and rewarding learning environment
• Opportunity for continuous personal growth and development through daily team whiteboard sessions, research projects, and agile experimentation mindset towards product development
• Stock options and profit sharing
• Health coverage and 401K

TO APPLY

• We are currently only accepting candidates based in the US / North America and available for full-time employment within 3 months.
• Send in your latest resume to careers+handshake@ValidateHealth.com.
• Write a note explaining your long-term career goals and what makes you particularly interested in Validate and this position specifically.
• Please include links to LinkedIn and GitHub if applicable, and any other links that you feel speak to who you are and your capabilities, such as publications, blog or portfolio.
• Specify the date you’re available to start work, visa/citizenship status, and any sponsorship requirements.
• Indicate that you’re willing to take an aptitude test.
• Add “Data Engineer via Handshake” to the subject line.