US – Remote
We are looking for people excited to build a next generation data platform for processing health insurance data. Data is the core asset of health insurers and we are looking for someone who is interested in tackling the many challenges that arise from trying to generate value from this data. A successful applicant will always have an eye on security, an understanding of horizontally scaling data pipelines, and a constant desire to automate the mundane.
Ultimately, the work you do will contribute to eliminating administrative burden for payers, providers, and patients so that everyone can focus on what matters most, the patient. PrecisionGx works with insurance companies, research institutes, national governments, and other major institutions providing world class payment integrity services. Our platform is backed by an AI/ML engine that’s built to simplify and streamline payment integrity operations and push savings to our clients. The strength of this system is predicated on a strong data infrastructure that makes sure our research and operations team have timely, consistent, and trustworthy data. We need people who want to help continue to scale this infrastructure to tackle increasingly diverse problems.
We are a remote first workforce with occasional on sites to bring people together. We strive to hit the highest standards of communication so we can hire the best people, no matter where they are located.
An ideal candidate will have 2-5 years of professional software development experience, and preferably one year of Python 3 experience. Previous work handling large data processing jobs is valuable as well.
Languages: Python 3.4+, SQL (any dialect)
When looking for candidates, we are looking for people that have the same values as we do. We’re looking for candidates who communicate openly, honestly, and clearly, take a disciplined approach in solving problems, and show respect for others time and efforts. If this sounds like the type of environment you would be interested in, please consider applying.
Some other nice to haves are experience with:
- Big data technology: Spark 2.4, Presto
- Cloud technology: AWS Glue, Lambda, S3
- Industry experience in health insurance, specifically in payment integrity is a big plus
- Please share any relevant experience in the above areas. Also, if there is something interesting that you have done in the areas of data processing, cleansing, or pipeline development, we would love to hear about that as well!
- Base salary range for this position is $90K-$130K depending on candidate experience and qualifications.