Senior Data Engineer - AWS & Quicksight

About the Company

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation.

We are an elite and premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms. Our work has been recognized across the industry, including 21 Google Cloud Partner of the Year awards, 3 AWS AI/ML Partner of the Year awards, 3 NVIDIA Partner of the Year awards, and Snowflake Partner of the Year awards. We are rated leaders by Gartner, Forrester, IDC, ISG, Everest Group, and other leading analyst firms.

Quantiphi delivers first-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

About the Role

We are looking for a Senior Data Engineer to build and maintain scalable data solutions that drive impactful business outcomes. This is a remote, full-time position based in the USA.

Responsibilities

• Build and maintain scalable and cost-effective data pipelines, data warehouses, and data lakes using AWS S3, AWS Glue/Amazon EMR, and AWS Lambda to ingest data from various sources (e.g., APIs, databases, flat files).
• Implement data modeling and data warehousing concepts to create a well-structured analytical layer on top of the data lake, optimized for querying with AWS Redshift and AWS Athena.
• Develop and optimize SQL queries (complex joins, window functions, query optimization) and write Python/PySpark scripts for data processing and automation.
• Ensure data quality, integrity, and reliability by implementing robust monitoring, alerting, and validation frameworks for all data pipelines.
• Design, develop, test, and deploy production-grade dashboards in Amazon QuickSight, including KPIs, tooltips, user interactions, dashboard navigation, personas, access management, and reporting requirements.
• Implement Row-Level Security (RLS) and other security controls within QuickSight.
• Optimize QuickSight assets for performance and scalability, including SPICE optimization, Direct Query, data blending, custom visual creation, calculated fields, and parameters.
• Validate dashboard functionality, KPI calculations, and data accuracy against business requirements.
• Document dashboard design, implementation, testing, validations, and deployment activities.
• Develop and maintain datasets and data models for Amazon QuickSight and other BI platforms.
• Gather reporting requirements from business stakeholders and convert them into meaningful dashboards and visualizations.
• Communicate effectively with both business and technical teams.

Requirements

• 5+ years of hands-on experience in data engineering.
• Expertise in data modeling concepts (e.g., star/snowflake schemas, SCD) and data warehousing principles.
• Proficiency in SQL and strong programming skills in Python/PySpark.
• Solid understanding of Amazon QuickSight, including SPICE optimization, Direct Query, data blending, custom visual creation, calculated fields, parameters, and Row-Level Security (RLS).
• Ability to independently design, develop, test, and deploy production-grade QuickSight dashboards.

Preferred Qualifications

• Experience with workflow orchestration tools like AWS Step Functions or Apache Airflow.
• Experience managing QuickSight assets, including publishing dashboards, scheduling refreshes, user administration, and access management.
• Experience with Tableau or Power BI.
• Proven experience migrating dashboards and reports from BI platforms such as Qlik, Tableau, or Power BI to Amazon QuickSight.
• Experience monitoring and supporting analytics solutions in AWS environments.

Benefits

• Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
• Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
• Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
• Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
• Thrive in a culture built on transparency, diversity, integrity, learning, and growth—where innovation and excellence are encouraged in both professional and personal life.