NPS Prism · 2 hours ago
Staff Data Engineer (India)
United States
Full-time
Remote
Senior Level, Lead/Staff
6+ years expNPS Prism is a Bain platform that provides advanced analytics, benchmarking, and insights into customer experience metrics across industries. They are seeking an experienced Staff Data Engineer to design, build, and optimize high-performance data pipelines and architectures, ensuring data quality, scalability, and reliability. The role involves collaboration with data scientists and product managers to shape the platform’s data strategy.
Computer Software
Responsibilities
Design and own scalable data architectures for ingestion, transformation, and analytics on Databricks
Build robust ETL/ELT pipelines using PySpark, SQL, and Databricks Workflows
Lead performance tuning, partitioning, and data optimization across large distributed systems
Mentor junior data engineers and enforce best practices for code quality, testing, and version control
Develop and maintain data lakes and data warehouses on cloud platforms (Azure Data Lake, AWS S3, GCP BigQuery, etc.)
Utilize Azure Data Factory, AWS Glue, or similar orchestration tools to manage large-scale data workflows
Integrate multiple data sources (structured, semi-structured, and unstructured) into unified models for NPS Prism analytics
Leverage Databricks for large-scale data processing, Delta Lake management, and ML/AI enablement
Drive the adoption of Databricks Unity Catalog, governance, and performance features
Partner with analytics teams to enable seamless model training and inference pipelines on Databricks
Define and implement frameworks for data validation, monitoring, and error handling
Collaborate with platform teams to establish data lineage and governance using tools like Great Expectations, Monte Carlo, or Databricks-native observability
Ensure compliance with Bain’s data security and privacy standards
Implement CI/CD pipelines for data code deployments using Git, Azure DevOps, or Jenkins
Automate testing, deployment, and monitoring for data workflows to ensure reliability and repeatability
Work with product and business teams to translate analytical requirements into scalable technical designs
Collaborate with Data Science and BI teams to deliver analytics-ready datasets for dashboards and models
Serve as a technical advisor in architectural reviews and strategic data initiatives within NPS Prism
Qualification
Required
Advanced proficiency in Databricks (mandatory)
Strong command of Python, SQL, and PySpark for big data processing
Experience with Delta Lake, Spark optimization, and cluster management
Hands-on with ETL/ELT design, data lake and warehouse architecture
Cloud expertise in Azure, AWS, or GCP (Azure preferred)
6–8 years of data engineering experience, with at least 3 years in a lead or staff-level role
Proven ability to design end-to-end data solutions and influence engineering best practices
Strong mentorship and stakeholder management skills
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
Preferred
Familiarity with streaming frameworks (Kafka, Event Hubs)
Understanding of data modeling and BI integration (Power BI, Tableau)
Exposure to DevOps, CI/CD pipelines, and Infrastructure as Code (IaC)
Strong problem-solving and analytical skills
Company
NPS Prism
NPS Prism is the gold-standard customer experience (CX) benchmarking platform backed by Bain & Company that enables organizations to accelerate their path to CX leadership.
201-500 employees
H1B Sponsorship
NPS Prism has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase