Senior Data Engineer

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 !