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Urgent! Senior Analytics Engineer Job Opening In Seattle – Now Hiring Eclaro

Senior Analytics Engineer



Job description

Position Overview:

  • 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 consultant 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.


  • Pay Rate: $97.80-$.32/Hour


    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, Big Query).
  • 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 ad hoc 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.
  • Data Engineering.
  • Python, SQL, Airflow, Spark, Dbt, Snowflake/Big Query, ETl & Orchestration, Cloud (AWS, Azure), ERP, Salesforce Data Cloud.
  • Analytics Eng.
  • SQL Modelling, DataMart, 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.
  • ML Pipelines, CI/CD, Domino, monitoring/Logging.


  • Preferred Qualifications:
  • 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.


  • If hired, you will enjoy the following ECLARO Benefits:
  • k Retirement Savings Plan administered by Merrill Lynch
  • Commuter Check Pretax Commuter Benefits
  • Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO
  • Apply Now

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    Required Skill Profession

    Mathematical Science Occupations



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