Data mining jobs in Burlington, NC

Position Title. Data Engineer Location. Remote (preference for Central. Eastern Time Zones) Position.. Long term Contract Position Description. Our client is developing a cloud based Common Data Platform..

Remote or Hybrid, US. Hybrid Toronto, CanadaWho we are FactSet creates flexible, open data and software.. We are undertaking an acceleration of our investment in the Metals & Mining sector and are aiming to..

Lead Data Manager Mid Sized Global Pharma We are working with a global pharma, focused on rare diseases.. Responsibilities. As a leading member of the data management team, your responsibilities will include..

Responsibilities. Collect, analyze, and validate data prior to it being stored for final use by the.. Perform tasks related to data profiling, data quality, and data harmonization between multiple systems..

For more information, please visit LTIMindtree is looking for a strong Data Solutions Architect with.. advisory support on data platforms and architectures. Pay Range. Base Salary. 180,000 to 200,000..

Qualifications. Currently, the enterprise is a complex, multi platform data environment. Technologies in.. Aims to establish an enterprise data model with a primary goal of standardizing shared data entities and..

I am partnered with one of the fastest growing data center developers in the US looking to hire a.. NC, TX, and OR in particular. Key Requirements. Experience building large scale data centers General..

Role. Data Engineer QELocation. Charlotte, NC (Remote is fine) Contract Skills. Strong proficiency in.. Experience with AWS Lambda, AWS Glue, and Snowflake for data processing and analysis. Familiarity with..

RBW is seeking an AD Director level Clinical Data Manager to join a very exciting autoimmune biotech on.. years of experience in the Biotech Pharmaceutical industry as a Clinical Data Manager Experience with..

As Principle Data Architect, you will drive the vision and create the architecture for data solutions.. You will translate strategic requirements into a usable enterprise data framework and guide data..