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 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. #SolvingWhatMatters.
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
- 21 Google Cloud Partner of the Year awards in the past 10 years
- 3 AWS AI/ML Partner of the Year awards
- 3 NVIDIA Partner of the Year awards
- 3 Snowflake Partner of the Year awards
- 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, etc., 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.
For more details, visit: Website or LinkedIn Page
Role: Senior Data Engineer
Experience Level: 5+ years
Employment type: Full Time
Location: Remote (USA)
Basic Qualifications (BQ):
- Hands-on experience in building and maintaining scalable and cost-effective data pipelines, data warehouses and data lake using AWS S3, AWS Glue/Amazon EMR, AWS Lambda to ingest data from various sources (e.g., APIs, databases, flat files, etc.).
- Expertise in implementing 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.
- Proficiency in SQL (complex joins, window functions, query optimization) and strong programming skills in Python/PySpark for data processing and automation.
- Ensure data quality, integrity, and reliability by implementing robust monitoring, alerting, and validation frameworks for all data pipelines.
- Solid understanding of data modeling concepts (e.g., star/snowflake schemas, SCD) and data warehousing principles.
- Hands-on experience with Amazon QuickSight, with a strong understanding of the latest features and capabilities.
- Ability to understand business requirements and translate them into scalable dashboards, including KPIs, tooltips, user interactions, dashboard navigation, personas, access management, and reporting requirements.
- Strong experience in:
- SPICE optimization
- Direct Query
- Data blending
- Custom visual creation
- Calculated fields and parameters
- Experience implementing Row-Level Security (RLS) and other security controls within QuickSight.
- Ability to independently design, develop, test, and deploy production-grade QuickSight dashboards.
- Validate dashboard functionality, KPI calculations, and data accuracy against business requirements.
- Experience documenting dashboard design, implementation, testing, validations, and deployment activities.
- Ability to optimize queries, datasets, and visualizations for performance and scalability.
- Experience developing and maintaining datasets and data models for Amazon QuickSight and other BI platforms.
- Ability to gather reporting requirements from business stakeholders and convert them into meaningful dashboards and visualizations.
- Strong verbal and written communication skills with the ability to communicate effectively with both business and technical teams.
Other Qualifications (OQ):
- 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.
What is in it for you:
- 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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Skills Required
- Build and maintain scalable data pipelines, data warehouses, and data lake using AWS S3, AWS Glue/Amazon EMR, AWS Lambda
- Implement data modeling and data warehousing concepts optimized for AWS Redshift and AWS Athena
- Proficiency in SQL (complex joins, window functions, query optimization)
- Strong programming skills in Python and PySpark for data processing and automation
- Implement robust monitoring, alerting, and validation frameworks to ensure data quality and reliability
- Solid understanding of data modeling concepts (star/snowflake schemas, SCD) and data warehousing principles
- Hands-on experience with Amazon QuickSight and its features
- Translate business requirements into scalable dashboards (KPIs, interactions, navigation, personas, access management)
- SPICE optimization
- Direct Query
- Data blending
- Custom visual creation in QuickSight
- Calculated fields and parameters in QuickSight
- Implement Row-Level Security (RLS) and other QuickSight security controls
- Design, develop, test, and deploy production-grade QuickSight dashboards independently
- Validate dashboard functionality, KPI calculations, and data accuracy against business requirements
- Document dashboard design, implementation, testing, validations, and deployment activities
- Optimize queries, datasets, and visualizations for performance and scalability
- Develop and maintain datasets and data models for Amazon QuickSight and other BI platforms
- Gather reporting requirements from stakeholders and convert into meaningful dashboards and visualizations
- Strong verbal and written communication skills with both business and technical teams
- Experience with workflow orchestration tools like AWS Step Functions or Apache Airflow
- Manage QuickSight assets: publishing dashboards, scheduling refreshes, user administration, access management
- Experience with Tableau or Power BI
- Proven experience migrating dashboards from Qlik, Tableau, or Power BI to Amazon QuickSight
- Experience monitoring and supporting analytics solutions in AWS environments
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
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