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Net2Source Inc.

Data Analytics Engineer

Hybrid

Seattle, United states

$ 95 /hour

Freelance

25-09-2025

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Skills

Communication Python Tableau SQL Data Engineering Salesforce CI/CD Monitoring Version Control Architecture Data Architecture Machine Learning PyTorch Scikit-Learn TensorFlow Deep Learning Regression power bi Azure AWS Analytics Snowflake Data Science Spark OpenAI Langchain CI/CD Pipelines PowerBI NLP

Job Specifications

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: Data Architecture Engineer

Location: Seattle, WA 98102 (50% Onsite)

Duration: 12+ Months (Extendable)

Pay Rate: $90.00 - 95.74/hr on W2

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)

About the Company

Net2Source (N2S) is a global workforce solutions company recognized by SIA as the largest and fastest-growing Total Talent Solutions provider with a presence in 32 countries. and in-house Glo-Cal (global and local) teams to support our clients. We carve out custom talent solutions, keeping People, Process, and Technology as the pillars of making the process simple, robust, and efficient. With over 3,500+ contractors working worldwide, we specialize in Contingent Staffing, RPO, Direct Sourcing, Payroll Solutions (EOR/AOR), ... Know more