Senior Data Engineer - AI Platforms

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.


Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don't just innovate - we lead.


Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.


We've been recognized with:

• 17x Google Cloud Partner of the Year awards in the last 8 years.
  
• 3x AWS AI/ML award wins.
  
• 3x NVIDIA Partner of the Year titles.
  
• 2x Snowflake Partner of the Year awards.
  
• We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
  
• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
  
• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.
  

Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.


Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Role: Senior Data Engineer - AI Platforms

Experience Level: 7+ yrs

Work Location: US East/Canada (Remote)

Role Overview:

As a Senior Data Engineer, you will design and build scalable, production-grade data platforms and pipelines that power AI and analytics use cases. This role is highly hands-on and sits at the intersection of data engineering, AI enablement, and cloud platforms.

You will work closely with clients and internal stakeholders to build modern data ecosystems, with a strong focus on healthcare data and interoperability standards.

Key Responsibilities:

• Design and build scalable data pipelines (ETL/ELT) using modern data engineering frameworks
  
• Develop and optimize batch and real-time data processing systems
  
• Build and maintain data integration workflows across multiple systems and sources
  
• Ensure data quality, integrity, and reliability across the data lifecycle
  
• Work with large-scale structured and semi-structured datasets
  
• Optimize data pipelines for performance, scalability, and cost efficiency
  
• Collaborate with stakeholders to translate business needs into technical solutions
  
• Design and implement data models to support analytics and AI use cases
  
• Support healthcare data ingestion and transformation, including interoperability standards
  
• Maintain best practices for CI/CD, testing, and monitoring of data pipelines
  

Basic Qualifications:

• 7+ years of experience in Data Engineering or Data Platform development
  
• Strong hands-on experience with at least one of:
  
  • Python
    
  • SQL
    
  • PySpark
    
• Experience working with at least one of the following data platforms:
  
  • Snowflake
    
  • PostgreSQL
    
  • BigQuery
    
  • Amazon Redshift
    
• Experience building and maintaining data pipelines using one or more of:
  
  • ETL / ELT frameworks
    
  • dbt
    
  • Dataflow, Dataproc, EMR, or AWS Glue
    
• General data pipeline / data integration frameworks
  
• Strong SQL expertise (joins, window functions, performance tuning)
  
• Experience working with large-scale data processing systems
  

Other Qualifications (OQs):

• Experience with cloud platforms (AWS, GCP, or Azure)
  
• Familiarity with real-time or streaming data architectures
  
• Exposure to modern data stack tools and best practices
  
• Experience with data governance, data quality, and observability tools
  
• Strong communication skills and experience working with cross-functional teams
  

Domain Experience (Required):

• Experience working within Healthcare domain, specifically:
  
  • Healthcare providers or payer systems
    
  • Healthcare datasets (EHR/EMR)
    
• Familiarity with healthcare interoperability standards such as:
  
  • HL7 (v2 preferred)
    
  • FHIR (nice to have)
    
• Experience working with systems such as:
  
  • Epic (preferred)
    
  • Other clinical or healthcare data platforms
    

What's in it for YOU at Quantiphi:

• Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
  
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
  
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
  
• Stay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
  

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!