Applications Data Developer/ Data scientist

SA Technologies•Phoenix, AZ

7d•Hybrid

About The Position

At SA Technologies Inc., we believe in turning career aspirations into reality. As a CMMI Level 5 and Great Place to WorkÂ® Certified global IT consulting and services company—and recognized as one of the Best Places for Women—we are committed to building an inclusive, supportive, and high -performance workplace Job ID: # 10419 Job Title: Applications Data Developer/ Data scientist Location:- 150 N 18th Ave Phoenix, AZ 85007 Duration 3 months from projected start date to extension Only W2 Pay Terms Projected Start Date 04/13/2026 Manager is looking to fill position quickly and may hire off of resume Position is Hybrid - about 80% of the time in office and 20% remote Position Description Strong knowledge of SQL and T -SQL and proven experience in database development utilizing SQL Server. Strong knowledge and experience in development of data processing and analytical tools utilizing Python and pertinent libraries and tools. Proven knowledge and experience with various data formats such as HL7, XML, JSON, CSV, EDI. Experience in data modeling, data mapping and data transformation processes. Deep understanding of process automation and demonstrated experience in implementation of automated processes. Experience in working in cloud -based environments - AWS, Azure, GCP. Understanding of data lifecycle management, data quality and data comparison platforms and tools. Minimum of 5 years of experience as a developer in data processing / data analytics field. Knowledge and experience in other RDBMS is a plus. Knowledge and experience in UI development is a plus. Knowledge and experience in visualization tools (Power BI) is a plus. Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics or related field is required.

Requirements

Strong knowledge of SQL and T -SQL and proven experience in database development utilizing SQL Server.
Strong knowledge and experience in development of data processing and analytical tools utilizing Python and pertinent libraries and tools.
Proven knowledge and experience with various data formats such as HL7, XML, JSON, CSV, EDI.
Experience in data modeling, data mapping and data transformation processes.
Deep understanding of process automation and demonstrated experience in implementation of automated processes.
Experience in working in cloud -based environments - AWS, Azure, GCP.
Understanding of data lifecycle management, data quality and data comparison platforms and tools.
Minimum of 5 years of experience as a developer in data processing / data analytics field.
Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics or related field is required.