Overview
Remote
On Site
Hybrid
$50 - $60 hr
Contract - Independent
Contract - W2
Skills
DATA ENGINEER
DATA ANALYSIS
MACHINE LEARNING
ML
DATA MODELLING
Job Details
Payrate: $50.00 - $60.00/hr.
Details/Scope of the project:
Must have skills for this role:
Preferred skills:
Pay Transparency: The typical base pay for this role across the U.S. is: $50.00 - $60.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, paid days off based on tenure, up to 40 hours paid sick time, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy ().
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. By applying to this position, you agree to Aditi s use of AI technology, including calls from an AI Voice Recruiter.
#AditiConsulting
Details/Scope of the project:
- Analyze current data infrastructure, tools, and integration workflows to assess capabilities and identify gaps.
- Develop scalable and repeatable processes for integrating structured and unstructured data sources, such as databases, APIs, and third-party platforms.
- Implement dependency mapping and ensure alignment with protocol specifications.
- Assist in the development and operationalization of predictive analytics models using Azure Machine Learning or similar services.
- Build workflows to automate scheduling, monitoring, and error handling.
- Create dashboards for continuous monitoring of data pipelines and integration processes.
- Provide training and operational documentation for internal teams.
Must have skills for this role:
- Proven experience in Data Engineering or Data Analysis with extensive knowledge of data infrastructure and analytics.
- Proficiency in Azure cloud services, data modeling, and machine learning tools.
- Strong skills in programming languages relevant to data handling and analysis.
- Excellent documentation and communication skills, with the ability to clearly present technical information.
- Fluent in Spanish and/or Portuguese.
Preferred skills:
- Excellent documentation and communication skills, with the ability to clearly present technical information.
- Fluent in Spanish and/or Portuguese.
Pay Transparency: The typical base pay for this role across the U.S. is: $50.00 - $60.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, paid days off based on tenure, up to 40 hours paid sick time, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy ().
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. By applying to this position, you agree to Aditi s use of AI technology, including calls from an AI Voice Recruiter.
#AditiConsulting
# 25-20332
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.