

Analytics and Reporting - Senior Analytics Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Analytics Engineer with a contract length of "unknown," offering a pay rate of "$X to $Y/hr." Located in Seattle Eastlake with 50% onsite work, candidates need 5+ years in data engineering, strong Python and SQL skills, and experience in regulated industries like pharma or biotech.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
760
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ποΈ - Date discovered
July 17, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Seattle, WA
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π§ - Skills detailed
#Data Quality #Monitoring #AI (Artificial Intelligence) #Python #Data Pipeline #Classification #Documentation #Data Engineering #Data Ingestion #Deployment #Hugging Face #Deep Learning #Compliance #Storytelling #Data Science #BigQuery #dbt (data build tool) #Azure #Spark (Apache Spark) #Transformers #Version Control #"ETL (Extract #Transform #Load)" #PyTorch #DataOps #Tableau #Forecasting #SQL (Structured Query Language) #Agile #Statistics #ML (Machine Learning) #TensorFlow #Leadership #NLP (Natural Language Processing) #Visualization #Cloud #AWS (Amazon Web Services) #Scala #Microsoft Power BI #Logging #Snowflake #API (Application Programming Interface) #Time Series #Data Storytelling #Datasets #Security #Langchain #Regression #MLflow #BI (Business Intelligence) #Data Warehouse #Airflow #Data Integrity
Role description
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Join a Global Leader in Workforce Solutions Net2Source Inc.
Who We Are
Net2Source Inc. isnt just another staffing company, were a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 34 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precisionRight Talent. Right Time. Right Place. Right Price.
Job Description: AI Analytics Engineer
Location: Seattle Eastlake (50% onsite)
Shift Hours- Standard
Tools/Skills
Data Engineering
Python, SQL, Airflow,Spark,dbt,snowflake/Bigquery,ETl &Orchestration , cloud (AWS,Azure), ERP, Salesforce data cloud
Analytics Eng
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.
Masters degree or PhD in Public Health, Economics, Statistics, Computer/Data Science, or related field
The starting hourly compensation for this assignment is within the range of
β’
β’
β’ to
β’
β’
β’ /hr. Please note that the final individual compensation and any applicable benefits will be determined by your employer of record (and not Client). Factors influencing this decision may include the characteristics of the assignment, such as demonstrated experience, required skill, and the geographic location of the job. Compensation details are subject to change.
Additional Job Requirements
None
Why Work With Us?
We believe in more than just jobswe build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter.
Our Commitment to Inclusion & Equity
Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics.
Awards & Recognition
" Americas Most Honored Businesses (Top 10%)
" Fastest-Growing Staffing Firm by Staffing Industry Analysts
" INC 5000 List for Eight Consecutive Years
" Top 100 by Dallas Business Journal
" Spirit of Alliance Award by Agile1
Ready to Level Up Your Career?
Click Apply Now and lets make it happen.
Best regards,
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