• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 22nd Jan 2024

Availity is a Healthcare IT company headquartered in Jacksonville, FL with an office in Indianapolis, IN and a significant remote workforce as well. Availity is the nation’s largest health information network, connecting 2 million providers nationwide and processing more than 12 billion transactions a year, and growing! We work collaboratively with health plans and providers to disrupt an antiquated healthcare system by solving core issues in the way stakeholders communicate. Fixing the broken provider data management process and creating real time communication of risk and quality information are just two of the ways Availity is streamlining this process. Availity also offers providers, hospitals, and health systems revenue cycle and patient financial management solutions. We help prepare our providers for the rise in consumerism and value-based care, so that they can get paid accurately, and timely, for their services.

The Data Engineer II aims to provide data in a ready-to-use form to enable a diverse set of business processes. Responsible for design, build, maintenance, and production support of data processing pipelines and systems. The Data Engineer II will work closely with Data Analysts, Data Scientists, business and technical teams to deliver outcomes that are secure, reliable, fault-tolerant, scalable, quality and efficient. Applying analytics (e.g., machine learning) and statistical models, as needed. The Data Engineer II can also provide data analysis and extracts on large and complex data sets.

Location: Remote, US

Role qualifications:
• Bachelor’s degree (preferably Computer Science, Engineering, or other quantitative fields)
• 7+ years of related experience in designing and implementing production-grade data analytic solutions in Scala, Python, and PySpark.
• 5+ years of experience working with large-scale data and developing SQL queries to extract insights.
• 3+ years of hands-on experience with data analytic cloud services, such as AWS EMR, Airflow, and RedShift.
• 3+ years of leveraging statistical techniques to cross-examine multiple data sources to surface patterns and data abnormalities.
• Demonstrated knowledge in software development best practices such as Git, linting, unit/integration testing.
• Able to plan work, set clear direction, and coordinate tasks across multi-disciplinary team in a fast-paced environment.
• Collaborative attitude. This role is part of a larger, more dynamic team that nurtures collaboration.
• Excellent communication skills including discussions of technical concepts, conducting peer-programming sessions, and explaining development concepts.
• Flexible and able to embrace change.

To differentiate yourself, you:
• Experience in healthcare industry data such as X12, CPT/HCPCS, ICD-10.
• Experience in data architecture and cloud engineering.
• Experience working in an “Agile” and/or “Scrum” development environment using tools such as JIRA.
• Experience with operationalization and observability in a production environment.