Databricks Data Engineer
Data Engineer
Tensile AI is looking for a self-motivated and detail-oriented data engineer to join the team. This opportunity will enable you to contribute to the development, support, and enhancement of our analytics library. Our library enables multiple data analytics teams to use consistent methods and functions in their evaluation of a wide range of Medicaid business questions.
What you’ll do
As a data engineer, you will be responsible for the execution and management of data analysis pipelines. This includes data intake, data quality assessment/evaluation, data curation, and enrichment/preparation processes. Our pipelines consist of various healthcare data sources to support the analytics library. Additionally, you will develop the business rules processing engine and Python library interface.
The Position
· Design and develop scalable data integration (ETL/ELT) processes (including ingestion, cleansing, curation, unification, etc.)
· Automate the processing of external data feeds (such as NPPES, Risk Adjustment, etc.)
· Design and develop tools to support data profiling and data quality methodologies
· Develop process documentation and create a guide for contributors
Skills and Experience
· BS / MS in Computer Science, Engineering, or Mathematics
· 3+ years of experience with Python
· 3+ years of experience with big data processing; Spark or Databricks preferred
· Knowledge of data manipulation methodologies
· Familiarity with healthcare data is a plus
· Experience working within cloud environments; AWS preferred
· Excellent verbal and written communication
· Ability to work alone and as part of a team
About Tensile AI
We work with insurers and health systems to implement the analytics foundation for simplified, on-demand insights which drive high degrees of patient engagement and help to steer members toward insurance plans and treatment decisions that will impact both the cost and quality of care.
Job Types: Full-time, Contract
Pay: $54.00 – $58.00 per hour
Benefits:
Schedule:
Supplemental Pay:
COVID-19 considerations:
Work is performed remotely at a home office
Education:
Experience:
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Shift availability:
Work Location:
Work Location: Remote
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