Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations.
Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake.
Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.
We have been recognized with:
3x AWS AI/ML award wins.
3x NVIDIA Partner of the Year titles.
Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms.
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
Experience Level:
5+ years
Employment type:
Full Time
Location:
Jersey City, NJ
Description:
As a Senior Data Engineer at Quantiphi, you will solve big data problems and will develop solutions for migration, storage, and processing
Must have skills:
5+ years of hands-on experience in delivering data solutions.
Experience with Databricks implementations - developing data pipelines using PySpark.
Experience in Databricks Workspaces, Notebooks, Delta Lake, APIs.
Experience in Python, Scala.
Experience in advanced SQL and Query optimization.
Experience in implementing data integration projects using ETL.
Experience building and deploying cloud-based solutions at scale by ingesting data from sources like DB2.
Good to have skills:
Experience with AWS services - S3, Redshift, Secrets Manager.
Experience in implementing data integration projects using ETL (preferably Qlik Replicate & Qlik Compose).
Experience in using Airflow or Step Functions for orchestration.
Exposure to IaC tools like Terraform and to CI/CD tools.
Prior experience in migrating (on-prem to cloud) and processing large amounts of data.
Experience in implementing data lake and data warehouse on cloud.
Experience in implementing the industry's best practices.
What is in it for you:
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.
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