NPS Prism · 3 days ago
Data Engineer
United States
Full-time
Remote
Mid Level
3+ years expNPS Prism is a market-leading, cloud-based CX benchmarking and operational improvement platform owned by Bain & Company. They are seeking a highly skilled Data Engineer to design and implement robust data solutions for scalable business needs, utilizing tools such as Python, SQL, and cloud platforms like Azure and AWS.
Computer Software
Responsibilities
Design, build, and optimize ETL/ELT workflows using tools like Databricks, SQL, Python/pyspark & Alteryx (Good to have)
Develop and maintain robust, scalable, and efficient data pipelines for processing large datasets. from source to emerging data
Work on cloud platforms (Azure, AWS) to build and manage data lakes, data warehouses, and scalable data architectures
Utilize cloud services like Azure Data Factory, AWS Glue, or for data processing and orchestration
Use Databricks for big data processing, analytics, and real-time data processing
Leverage Apache Spark for distributed computing and handling complex data transformations
Create and manage SQL-based data solutions, ensuring high availability, scalability, and performance
Develop and enforce data quality checks and validation mechanisms
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver impactful data solutions
Understand business requirements and translate them into technical solutions
Leverage CI/CD pipelines to streamline development, testing, and deployment of data engineering workflows
Work with DevOps tools like Git, Jenkins, or Azure DevOps for version control and automation
Maintain clear documentation for data workflows, pipelines, and processes
Optimize data systems for performance, scalability, and cost-efficiency
Qualification
Required
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field
3–6 years of experience in Data Engineering or related roles
Hands-on experience with big data processing frameworks, data lakes, and cloud-native services
Proficiency in Python, SQL, and PySpark for data processing and manipulation
Proven experience in Databricks and Apache Spark
Expertise in working with cloud platforms like Azure, AWS
Leveraging data lakes, data warehouses, and data pipelines
Build a Data Pipeline from scratch
Strong understanding of distributed systems and big data technologies
Basic understanding of DevOps principles and familiarity with CI/CD pipelines
Hands-on experience with tools like Git, Jenkins, or Azure DevOps
Strong problem-solving skills and a knack for optimizing data solutions
Excellent communication (oral and written) skills
Preferred
Sound knowledge of ETL processes and tools like Alteryx. (Good to have)
Familiarity with data visualization tools like Power BI, Tableau, or similar is a plus
Knowledge of streaming technologies such as Kafka or Event Hubs is desirable
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