Net2Source (N2S)
Overview
Location: Seattle, WA 98102 (50% Onsite) Duration: 12+ Months (Extendable) • Pay Rate: $90.00 – $95.74/hr on W2 Tools/Skills
dbt, SQL Modelling, datamarts, Tableau/Power BI, 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 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 transformations using dbt, Airflow and data warehouses (e.g., 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 Ingest, integrate and deliver data products and insights across multiple platforms with data integrity and governance Knowledge of deep learning methods for NLP (quantitative area of study, CS preferred) Support ad hoc analytics initiatives for clinical trials, commercial ops and digital health systems Utilize supervised or unsupervised methods to drive insight from large datasets Experience working with unstructured text Develop high-quality analytical and statistical models, insights, and visualizations to improve decision making Document all technical work within formal documentation systems Required Qualifications
5+ years of experience in data engineering, analytics or applied machine learning Strong Python and SQL skills; experience with ETL orchestration tools (Airflow, Prefect, Domino) Proficiency in modern data stack (dbt, Snowflake/BigQuery, version control, CI/CD) Experience with DataOps/MLOps frameworks and AI/LLM tooling (OpenAI, Langchain, HuggingFace Transformers) Strong communication and stakeholder engagement skills Experience in regulated industries (Pharma, biotech or life sciences) highly preferred Solid foundation in data science: causal inference, regression, classification, experimental design Nice to Have
Knowledge of GxP, HIPAA or compliance standards Experience with data modeling 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 (2020, 2019) Seniority level
Mid-Senior level Employment type
Contract Job function
Engineering and Information Technology Industries
IT Services and IT Consulting Pharmaceutical Manufacturing Biotechnology Research Referrals increase your chances of interviewing at Net2Source (N2S) by 2x Get notified about new Data Engineer jobs in Seattle, WA.
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Location: Seattle, WA 98102 (50% Onsite) Duration: 12+ Months (Extendable) • Pay Rate: $90.00 – $95.74/hr on W2 Tools/Skills
dbt, SQL Modelling, datamarts, Tableau/Power BI, 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 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 transformations using dbt, Airflow and data warehouses (e.g., 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 Ingest, integrate and deliver data products and insights across multiple platforms with data integrity and governance Knowledge of deep learning methods for NLP (quantitative area of study, CS preferred) Support ad hoc analytics initiatives for clinical trials, commercial ops and digital health systems Utilize supervised or unsupervised methods to drive insight from large datasets Experience working with unstructured text Develop high-quality analytical and statistical models, insights, and visualizations to improve decision making Document all technical work within formal documentation systems Required Qualifications
5+ years of experience in data engineering, analytics or applied machine learning Strong Python and SQL skills; experience with ETL orchestration tools (Airflow, Prefect, Domino) Proficiency in modern data stack (dbt, Snowflake/BigQuery, version control, CI/CD) Experience with DataOps/MLOps frameworks and AI/LLM tooling (OpenAI, Langchain, HuggingFace Transformers) Strong communication and stakeholder engagement skills Experience in regulated industries (Pharma, biotech or life sciences) highly preferred Solid foundation in data science: causal inference, regression, classification, experimental design Nice to Have
Knowledge of GxP, HIPAA or compliance standards Experience with data modeling 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 (2020, 2019) Seniority level
Mid-Senior level Employment type
Contract Job function
Engineering and Information Technology Industries
IT Services and IT Consulting Pharmaceutical Manufacturing Biotechnology Research Referrals increase your chances of interviewing at Net2Source (N2S) by 2x Get notified about new Data Engineer jobs in Seattle, WA.
#J-18808-Ljbffr