Data Engineer, Analytics & Machine Learning Enablement at Keepersecurity

Keepersecurity

Remote, US·1w ago

Mid LevelFull-timePythonRustAWSMachine LearningCI/CDGitML

Salary Range

$102,000 - $138,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Data Engineer to join our growing Data Engineering organization at Keeper Security. This role focuses on building analytics platforms and enabling machine-learning-driven insights across the business.

Key Responsibilities

→Build and maintain ELT pipelines that ingest and transform data from operational systems
→Develop analytics-ready data models to support reporting, KPIs, and downstream ML use cases
→Collaborate with analysts and ML engineers to ensure data structures meet modeling and feature needs
→Implement data quality checks, validation, and testing to ensure accuracy and reliability
→Optimize data pipeline performance, scalability, and cost efficiency
→Support data preparation and feature engineering workflows for machine learning initiatives
→Document data models, transformations, and lineage to support reuse and data literacy
→Partner with security and platform teams to ensure data governance and privacy requirements are met

Requirements

✓3–5 years of experience in data engineering or backend data systems
✓Strong proficiency in SQL and experience designing analytics data models
✓Working knowledge of Python for data processing or pipeline orchestration
✓Experience working with cloud data warehouses
✓Familiarity with AWS data services
✓Understanding of ELT best practices, data modeling, and schema design
✓Exposure to supporting machine learning workflows
✓Knowledge of data security and privacy principles
✓Strong software engineering fundamentals
✓Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field
✓U.S. Person required