About FinThrive
FinThrive is advancing the healthcare economy.
For the most recent information on FinThrive's vision for healthcare revenue management visit finthrive.com / why-finthrive .
Award-winning Culture of Customer-centricity and Reliability
At FinThrive we're proud of our agile and committed culture, which makes FinThrive an exceptional place to work. Explore our latest workplace recognitions at https : / / finthrive.com / careers#culture .
Our Perks and Benefits
FinThrive is committed to continually enhancing the colleague experience by actively seeking new perks and benefits. For the most up-to-date offerings visit finthrive.
com / careers-benefits .
Impact you will make
The ideal candidate will have a natural curiosity about solving problems - familiar with the complexity of healthcare datasets.
They will be critical thinkers with advanced problem solving, data mining, and data engineering skills that enables them to answer ambiguous questions in data that help leaders make great data driven decisions.
What you will do
- Develop complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights, address reporting and data science needs
- Ensure that data pipelines are observable, scalable, reliable, and secure
- Improve data quality and integrity
- Contribute to a high-performance culture, problem-solving, learning, and collaboration across data and analytics department
What you will bring
- Bachelor's degree in computer science, Engineering, or Applied Science
- 3+ years' experience in Data Engineering and / or Software Engineering
- 2 years' experience in big data technologies like Hadoop, Spark, Hive, Databricks etc.
- Strong coding skills in Python / PySpark / Scala / Java or equivalent
- Proficient in SQL and data analysis
- Proficient in Linux and Bash shell scripting
- Experience in agile software development lifecycle and DevOps
- Excellent communication, presentation, leadership, problem-solving and analytical skills
What we would like to see
- Hands-on work in on-prem to cloud migration, preferably in Azure
- Azure experience as it pertains to PaaS (Platform as a Service) offerings (Synapse, ADLS, DataBricks, Event Hubs, CosmosDB, Azure ML, etc.)
- Experience in infrastructure as code and automating production data and ML pipelines
- Knowledge of data warehouses / lakes / lake houses
FinThrive's Core Values and Expectations
- Demonstrate integrity and ethics in day-to-day tasks and decision making, adhere to FinThrive's core values of being Customer-Centric, Agile, Reliable and Engaged, operate effectively in the FinThrive environment and the environment of the work group, maintain a focus on self-development and seek out continuous feedback and learning opportunities
- Support FinThrive's Compliance Program by adhering to policies and procedures pertaining to HIPAA, FCRA, GLBA and other laws applicable to FinThrive's business practices;
this includes becoming familiar with FinThrive's Code of Ethics, attending training as required, notifying management or FinThrive's Helpline when there is a compliance concern or incident, HIPAA-compliant handling of patient information, and demonstrable awareness of confidentiality obligations
Physical Demands
The physical demands and work environment characteristics described here are representative of those that a colleague must meet to successfully perform the essential functions of this job.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Statement of EEO
FinThrive values diversity and belonging and is proud to be an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
We're committed to providing reasonable accommodation for qualified applicants with disabilities in our job application and recruitment process.
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FinThrive is an Equal Opportunity Employer and ensures its employment decisions comply with principles embodied in Title VII, the Age Discrimination in Employment Act, the Rehabilitation Act of 1973, the Vietnam Veterans Readjustment Assistance Act of 1974, Executive Order 11246, Revised Order Number 4, and applicable state regulations.
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