NPS Prism

Staff Data Engineer

NPS Prism

full-time

Posted on:

Location Type: Remote

Location: Brazil

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Job Level

Lead

Tech Stack

AWSAzureBigQueryCloudDistributed SystemsETLGoogle Cloud PlatformPySparkPythonSparkSQL

About the role

  • 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
  • Enable seamless model training and inference pipelines on Databricks
  • Define and implement frameworks for data validation, monitoring, and error handling
  • Automate testing, deployment, and monitoring for data workflows to ensure reliability and repeatability
  • Collaborate with product and business teams to translate analytical requirements into scalable technical designs

Requirements

  • 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
Benefits
  • Bain’s award-winning collaborative work culture
  • Ambitious team of tight-knit colleagues

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
DatabricksPySparkSQLETLELTdata architecturedata optimizationDelta Lakedata lakesdata warehouses
Soft skills
mentorshipstakeholder managementcode qualitytestingversion controlcollaborationinfluence engineering best practices