

AI Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Analytics Engineer in Seattle, WA, lasting 12+ months at $80.00 – $95.00/hr. Requires 5+ years in data engineering, Python, SQL, ETL tools, and experience in regulated industries, preferably healthcare.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
760
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🗓️ - Date discovered
August 14, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Data Quality #Agile #Airflow #Logging #Monitoring #Hugging Face #Data Integrity #Scala #AWS (Amazon Web Services) #Deployment #Forecasting #Security #TensorFlow #Time Series #Data Warehouse #Data Engineering #Data Pipeline #Data Storytelling #Documentation #"ETL (Extract #Transform #Load)" #Python #Spark (Apache Spark) #Storytelling #Deep Learning #Transformers #Tableau #Classification #Data Ingestion #Snowflake #AI (Artificial Intelligence) #BigQuery #DataOps #ML (Machine Learning) #Compliance #Cloud #Regression #NLP (Natural Language Processing) #Version Control #MLflow #BI (Business Intelligence) #PyTorch #Statistics #Visualization #dbt (data build tool) #Langchain #SQL (Structured Query Language) #Datasets #Azure #Data Science #API (Application Programming Interface) #Microsoft Power BI
Role description
Net2Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap – Right Talent – Right Time – Right Place – Right Price and acting as a Career Coach to our consultants.
Company: One of Our Clients
Job Description:
Job Title: AI Analytics Engineer
Location: Seattle, WA 98102 (50% Onsite)
Duration: 12+ Months (Extendable)
Pay Rate: $80.00 – 95.00/hr on W2 without benefits.
Tools/Skills
Data Engineering
Python, SQL, Airflow, Spark, dbt, snowflake/Big query, ETl &Orchestration , cloud (AWS, Azure), ERP, Salesforce data cloud
Analytics Engineering
dbt, SQL Modelling, datamarts, tableau/PowerBI, metrics definition, Insights and data storytelling, Adobe Analytics
Advanced analytics
Scikit-learn, Tensorflow, Pytorch, mLFlow, feature engineering
AI Tools
OpenAI API, Langchain, Retrieval-Augmented Generation (RAG)
MLOPs/Deployment
ML Pipelines, CI/CD, Domino, monitoring/Logging
Job Overview
Client is seeking a highly experienced Senior Analytics Engineer to serve as a key contributor in building advanced analytics infrastructure and AI-driven decision support tools for the Global Patient Operations Cell Therapy team. This role blends data engineering, analytics engineering, and AI/ML integration to enhance visibility into critical operations such as scheduling, clinical trials, and commercial performance.
The ideal candidate thrives in regulated environments, understands the nuances of healthcare data, and can own delivery end-to-end from data ingestion through to dashboarding and insight delivery.
Responsibilities
• Design and build scalable data pipelines using python, SQL and cloud-based tools (Azure, AWS)
• Develop and maintain analytics models and data transformation using dbt, airflow and data warehouses (ex: Snowflake, BigQuery
• Build and manage dashboards and data visualizations using web-based tools, Tableau, Power BI
• Ensure data quality, governance and security compliance across engineering workflows
• Responsible for ingestion, integration and delivery of data products and insights across multiple platforms applying and maintaining data integrity and governance rules
• Knowledge of deep learning methods for NLP (quantitative area of study, Comp Science preferred)
• Support adhoc analytics initiatives for clinical trials, commercial ops and digital health systems
• Utilizes supervised or unsupervised methods, learning from vast amounts of unlabeled data to drive insight
• Experience working with unstructured text
• Develop high quality analytical and statistical models, insights, patterns, visualizations, that can be used to improve decision making in manufacturing operations
• Responsible for documentation of all technical work both within and outside of formal document management systems
Required Qualifications
• 5+ Yrs of experience in data engineering, analytics or applied machine learning
• Strong python and SQL Skills, experience in ETL Orchestration tools (Airflow, Prefect. Domino) ability to manipulate and analyze complex datasets.
• Proficiency in modern data stack (dbt, snowflake/Big Query, version control, CI/CD pipelines)
• Experience and familiarity in DataOps/MLOps frameworks, AI/LLM tooling such as OpenAI ,Langchain, Hugging face Transformers
• Strong communication and stakeholder engagement skills
• Experience in regulated industry (Pharma, biotech or life sciences) is highly preferred
• Solid grasp of data science fundamentals: causal inference, regression, classification, experimental design
Nice to Have
• Knowledge of GxP, HIPAA or compliance standards
• experience with data modelling in clinical trials, real world evidence (RWE) or commercial analytics
• Familiarity with NLP, time series forecasting, or image analytics in healthcare.
• Master’s degree or PhD in Public Health, Economics, Statistics, Computer/Data Science, or related field
Awards and Accolades:
America's Most Honored Businesses (Top 10%)
Awarded by USPAAC for the Fastest Growing Business in the US
12th Fastest Growing Staffing Company in USA by Staffing industry Analysts in the US (2020, 2019, 2020)
Fastest 50 by NJ Biz (2020, 2019, 2020)
INC 5000 Fastest growing for 8 consecutive years in a row (only 1.26% companies make it to this list)
Top 100 by Dallas Business Journal (2020 and 2019)
Proven Supplier of the Year by Workforce Logiq (2020 and 2019)
2019 Spirit of Alliance Award by Agile1
2018 Best of the Best Platinum Award by Agile1
2018 TechServe Alliance Excellence Awards Winner
2017 Best of the Best Gold Award by Agile1(Act1 Group)
Net2Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap – Right Talent – Right Time – Right Place – Right Price and acting as a Career Coach to our consultants.
Company: One of Our Clients
Job Description:
Job Title: AI Analytics Engineer
Location: Seattle, WA 98102 (50% Onsite)
Duration: 12+ Months (Extendable)
Pay Rate: $80.00 – 95.00/hr on W2 without benefits.
Tools/Skills
Data Engineering
Python, SQL, Airflow, Spark, dbt, snowflake/Big query, ETl &Orchestration , cloud (AWS, Azure), ERP, Salesforce data cloud
Analytics Engineering
dbt, SQL Modelling, datamarts, tableau/PowerBI, metrics definition, Insights and data storytelling, Adobe Analytics
Advanced analytics
Scikit-learn, Tensorflow, Pytorch, mLFlow, feature engineering
AI Tools
OpenAI API, Langchain, Retrieval-Augmented Generation (RAG)
MLOPs/Deployment
ML Pipelines, CI/CD, Domino, monitoring/Logging
Job Overview
Client is seeking a highly experienced Senior Analytics Engineer to serve as a key contributor in building advanced analytics infrastructure and AI-driven decision support tools for the Global Patient Operations Cell Therapy team. This role blends data engineering, analytics engineering, and AI/ML integration to enhance visibility into critical operations such as scheduling, clinical trials, and commercial performance.
The ideal candidate thrives in regulated environments, understands the nuances of healthcare data, and can own delivery end-to-end from data ingestion through to dashboarding and insight delivery.
Responsibilities
• Design and build scalable data pipelines using python, SQL and cloud-based tools (Azure, AWS)
• Develop and maintain analytics models and data transformation using dbt, airflow and data warehouses (ex: Snowflake, BigQuery
• Build and manage dashboards and data visualizations using web-based tools, Tableau, Power BI
• Ensure data quality, governance and security compliance across engineering workflows
• Responsible for ingestion, integration and delivery of data products and insights across multiple platforms applying and maintaining data integrity and governance rules
• Knowledge of deep learning methods for NLP (quantitative area of study, Comp Science preferred)
• Support adhoc analytics initiatives for clinical trials, commercial ops and digital health systems
• Utilizes supervised or unsupervised methods, learning from vast amounts of unlabeled data to drive insight
• Experience working with unstructured text
• Develop high quality analytical and statistical models, insights, patterns, visualizations, that can be used to improve decision making in manufacturing operations
• Responsible for documentation of all technical work both within and outside of formal document management systems
Required Qualifications
• 5+ Yrs of experience in data engineering, analytics or applied machine learning
• Strong python and SQL Skills, experience in ETL Orchestration tools (Airflow, Prefect. Domino) ability to manipulate and analyze complex datasets.
• Proficiency in modern data stack (dbt, snowflake/Big Query, version control, CI/CD pipelines)
• Experience and familiarity in DataOps/MLOps frameworks, AI/LLM tooling such as OpenAI ,Langchain, Hugging face Transformers
• Strong communication and stakeholder engagement skills
• Experience in regulated industry (Pharma, biotech or life sciences) is highly preferred
• Solid grasp of data science fundamentals: causal inference, regression, classification, experimental design
Nice to Have
• Knowledge of GxP, HIPAA or compliance standards
• experience with data modelling in clinical trials, real world evidence (RWE) or commercial analytics
• Familiarity with NLP, time series forecasting, or image analytics in healthcare.
• Master’s degree or PhD in Public Health, Economics, Statistics, Computer/Data Science, or related field
Awards and Accolades:
America's Most Honored Businesses (Top 10%)
Awarded by USPAAC for the Fastest Growing Business in the US
12th Fastest Growing Staffing Company in USA by Staffing industry Analysts in the US (2020, 2019, 2020)
Fastest 50 by NJ Biz (2020, 2019, 2020)
INC 5000 Fastest growing for 8 consecutive years in a row (only 1.26% companies make it to this list)
Top 100 by Dallas Business Journal (2020 and 2019)
Proven Supplier of the Year by Workforce Logiq (2020 and 2019)
2019 Spirit of Alliance Award by Agile1
2018 Best of the Best Platinum Award by Agile1
2018 TechServe Alliance Excellence Awards Winner
2017 Best of the Best Gold Award by Agile1(Act1 Group)