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](http://www.quantiphi.com/) or [LinkedIn Page](https://www.linkedin.com/company/quantiphi/). **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__!_