Senior Data Engineer — Healthcare Analytics Startup

• Want to make a tangible difference in the future of accountable care?
• Love applying the latest technologies to solve tough problems?
• Looking for a fulfilling career that gives you autonomy, mastery and purpose?

We are a small team of data scientists, actuaries, programmers and healthcare policy analysts who love what we do and wouldn’t trade it for the world. Join us!

THE COMPANY

Validate Health provides financial simulation, economic forecasts and actuarial risk management services for healthcare providers to thrive within the always evolving and complex value-based healthcare models. Our mission is to enable healthcare providers to focus on taking care of patients, while we take care of their highest impact strategic decisions.

JOB DESCRIPTION

As a Senior Data Engineer you will get to play a key role in the delivery of powerful data-driven products that enable sustainable value-based healthcare models.

• Program in SQL, Python, Linux bash, and cloud services APIs to automate the processing of patient-level healthcare transactions 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.
• Leverage a range of cloud services, ETL frameworks and libraries, such as AWS (EC2, RDS, S3, Lambda, Redshift, Athena, Glue), Databricks, Postgres, SparkSQL, Python, Pandas, PySpark, Apache Airflow, and DST
• Continuously learn by investigating new technologies and mentor other team members.

REQUIREMENTS

• Computer Science degree from a competitive university program. (Alternatively, 5+ years relevant experience with history of skills progression and demonstrated accomplishments.)
• Minimum 3+ years in experience specifically in data engineer or ETL developer roles
  • 5+ years in SQL: Programming complex queries, dynamic SQL, stored procedures, user defined functions, performance tuning
  • 3+ years in ETL: Data pipelines, ETL concepts and frameworks (DST), data-oriented cloud architecture, data warehousing, scalable technologies (such as column store databases and Spark)
  • 2+ years in data oriented cloud services: Preferably AWS (S3, RDS, Redshift, Athena, Glue), Databricks, or related. Azure or GCP are also acceptable.
  • 1+ years with Python, Pandas, PySpark. (SAS and R beneficial.)
  • 1+ years with Linux command line, shell scripting and Git / GitHub.
• Even better if you have:
  • Long term desire to be an expert in healthcare
  • Experience with healthcare claims and clinical data
• Must be willing to try our real-world take home "challenge" early in the interview process to help us understand your strongest skills. (It's a set of real-world problems that our team has solved in the past and also serves to give you a glimpse into what we do.)

BENEFITS

• Fully remote team with an environment and company culture that's optimized to provide a fulfilling work experience and career growth opportunities to every team member, regardless the location
• Fun, energetic, collaborative and rewarding learning environment with daily whiteboard sessions and weekly "deep thought" days
• Opportunity for continuous personal growth and development through research projects and agile experimentation mindset towards product development
• Quarterly bonus, profit sharing and stock options
• Health coverage and 401K

TO APPLY

• Send in your latest resume to [email protected].
• Write a note explaining your long-term career goals and what makes you particularly interested in Validate and this position specifically.
• Include your LinkedIn, GitHub (if available), and any sources demonstrating your capabilities (such as publications, blog or portfolio).
• Specify the date you’re available to start work, visa/citizenship status, and any sponsorship requirements. (Must be in the U.S. and available full-time within one month.)
• Add “Data Engineer via CrunchBoard” to the subject line