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!
Skills Required
- 7+ years of experience in Data Engineering or Data Platform development
- Hands-on experience with Python, SQL or PySpark (at least one)
- Experience with one or more data platforms: Snowflake, PostgreSQL, BigQuery, Amazon Redshift
- Experience building and maintaining data pipelines using ETL/ELT frameworks, dbt, Dataflow, Dataproc, EMR, or AWS Glue
- Strong SQL expertise (joins, window functions, performance tuning)
- Experience working with large-scale data processing systems
- Experience working within the Healthcare domain (providers or payer systems, EHR/EMR)
- Familiarity with healthcare interoperability standards: HL7 (v2 preferred)
- Familiarity with FHIR
- Experience with Epic or other clinical/healthcare data platforms
- Experience with cloud platforms (AWS, GCP, or Azure)
- Familiarity with real-time or streaming data architectures
- Experience with data governance, data quality, and observability tools
- Strong communication skills and experience working with cross-functional teams
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
