Data Engineer USA

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 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 worlds 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 technologys sake.

Headquartered in Boston Quantiphi is a global organization with 4000 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.

Our industry recognition includes:

• 21x 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.
• Top analyst recognitions from Gartner ISG and Everest Group.
• Consecutive certifications as a Great Place to Work.

Be part of a trailblazing team thats shaping the future of AI ML and cloud innovation.

Your next big opportunity starts here!

For more details visit: Website or LinkedIn Page.

Work Location: Boston MA

Experience Level: 3 - 5 years

Type: Full time

Role:

We are seeking an experienced Senior Data Engineer with deep expertise in SQL Python Snowflake Pyspark and AWS.

In this role you will design and maintain robust cloud-native data pipelines in Snowflake drive legacy-to-modern data platform migrations and ensure financial data integrity across all reporting systems. Beyond core data engineering you will play a hands-on role in end-to-end deliverytranslating business requirements into Agile execution managing project timelines and driving technical operational readiness.

Responsibilities:

• Design build and maintain cloud-native data pipelines and data lake architectures in Snowflake.
• Develop and manage scalable automated ETL/ELT workflows to efficiently ingest transform and curate data from diverse structured and unstructured sources.
• Support the end-to-end migration from legacy systems to a modern data platform including complex data mapping transformation logic development and architecture alignment.
• Support advanced analytics and reporting use cases by implementing data cleaning de-duplication reconciliation validation and strict financial data integrity checks.
• Break down high-level business requirements into actionable Epics and User Stories within Jira.
• Support project planning timeline estimation risk mitigation and cross-functional team coordination.
• Assist with integration testing cutover planning and go-live readiness to ensure smooth deployment.
• Partner closely with business finance and operations teams to align stakeholders and ensure seamless operational adoption of the new platform.

Skills Required:

• 3 - 5 years of expert-level SQL experience (writing complex queries CTEs advanced window functions conditional logic complex joins and performance optimization).
• 3 - 5 years of professional Python development experience processing complex datasets efficiently and automating workflows using Pandas Polars or equivalent data libraries.
• Hands-on experience designing and optimizing cloud-native data warehouses/datalakes specifically Snowflake.
• Modern Data Pipelines: Proven experience building maintaining and optimizing scalable ETL/ELT workflows and data pipelines.
• Financial Industry Experience Preferred.
• Demonstrated success managing full lifecycle project delivery driving requirements from design and build to testing and deployment.
• Exceptional communication and change management skills with a track record of bridging the gap between technical teams and business leadership.

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world
• Be a part of an energetic team of highly dynamic and talented individuals
• Exposure to working with fortune 500 companies and innovative market disruptors
• Exposure to the latest technologies related to artificial intelligence and machine learning data and cloud