Overview
On Site
$40 - $57 hr
Contract - W2
Contract - Independent
Skills
Restructuring
Reporting
Analytics
Dashboard
Workflow
Project Coordination
Project Delivery
Testing
Data Quality
NPI
Python
R
Data Manipulation
Data Engineering
Extract
Transform
Load
SQL
Snow Flake Schema
Microsoft Power BI
Generative Artificial Intelligence (AI)
Data Collection
Modeling
Optimization
Machine Learning (ML)
Deep Learning
Algorithms
DevOps
Microsoft Azure
Soft Skills
Conflict Resolution
Problem Solving
Collaboration
Management
Insurance
Communication
Messaging
Elasticsearch
Sourcing
Artificial Intelligence
Decision-making
Purchasing
Job Details
Payrate: $40.00 - $57.00 /hr.
Summary:
This role has emerged due to team restructuring and Return-to-Office (RTO) impacts, with several key team members transitioning out by year-end. The ideal candidate will bring strong technical skills in data engineering and analytics, a collaborative mindset, and the ability to contribute to scalable, production-ready solutions.
You ll work closely with senior data scientists, engineering teams, and trusted vendor partners to support ongoing development, reporting, and data transformation efforts. This is a high-impact role with visibility across NPR/NPI teams and other internal stakeholders.
Key Responsibilities:
Required Technical Skills:
Nice to Have:
Soft Skills:
Pay Transparency: The typical base pay for this role across the U.S. is: $40.00 - $57.00/hr. This role is also eligible for a performance-based incentive plan. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including medical, dental, and vision benefits, 10 paid holidays, open paid time off, four weeks paid parental leave, 401(k) plan participation, life and disability insurance, commuter benefits, mobile phone reimbursement and wellness reimbursement.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying STOP to messages or by contacting .
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
#AditiConsulting
#25-22803
Summary:
This role has emerged due to team restructuring and Return-to-Office (RTO) impacts, with several key team members transitioning out by year-end. The ideal candidate will bring strong technical skills in data engineering and analytics, a collaborative mindset, and the ability to contribute to scalable, production-ready solutions.
You ll work closely with senior data scientists, engineering teams, and trusted vendor partners to support ongoing development, reporting, and data transformation efforts. This is a high-impact role with visibility across NPR/NPI teams and other internal stakeholders.
Key Responsibilities:
- Data Engineering & Analytics:
- Build, maintain, and optimize data pipelines and ETL workflows using Python and SQL/Snowflake.
- Support the development of dashboards and reports using Power BI.
- Assist in the integration of GenAI tools and techniques into existing data workflows.
- Project Support:
- Collaborate with senior team members on end-to-end project delivery.
- Contribute to scalable solutions that can be transitioned to other internal teams (e.g., LPSD).
- Participate in validation testing and code reviews to ensure data quality and reliability.
- Cross-Functional Collaboration:
- Work with NPR/NPI teams and other engineering groups to understand data needs and deliver actionable insights.
- Coordinate with internal leads and external vendors to align on priorities and timelines.
Required Technical Skills:
- Python
- Proficiency in Python, R, and SQL for data manipulation, ETL (Extract, Transform, Load) processes, and model development.
- Data Engineering / ETL
- SQL / Snowflake
- Power BI
- GenAI experience
- (Using for data collection, modeling, analysis, summarizing and combining it with ML for predictions, optimization, etc...)
Nice to Have:
- Machine Learning: experience with supervised, unsupervised, and deep learning algorithms
- Azure DevOps / Azure Repos
Soft Skills:
- Communication: Ability to translate complex technical insights into business-friendly language
- Problem-Solving: Creative and effective solutions to data-driven challenges
- Collaboration: Experience working in cross-functional teams and openness to feedback
- Time Management: Ability to prioritize tasks and manage multiple projects simultaneously
Pay Transparency: The typical base pay for this role across the U.S. is: $40.00 - $57.00/hr. This role is also eligible for a performance-based incentive plan. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including medical, dental, and vision benefits, 10 paid holidays, open paid time off, four weeks paid parental leave, 401(k) plan participation, life and disability insurance, commuter benefits, mobile phone reimbursement and wellness reimbursement.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying STOP to messages or by contacting .
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
#AditiConsulting
#25-22803
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.