Data Engineer, Analytics & Machine Learning Enablement jobs in United States
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Keeper Security, Inc. · 12 hours ago

Data Engineer, Analytics & Machine Learning Enablement

Keeper Security is hiring a Data Engineer to join their growing Data Engineering organization, focusing on building analytics platforms and enabling machine-learning-driven insights across the business. The role involves designing and maintaining data pipelines and models that support reporting and machine learning workflows.

Cloud SecurityCyber SecurityIdentity ManagementSecuritySoftware
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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

Qualification

SQLData modelingCloud data warehousesData pipeline optimizationPythonAWS data servicesData security principlesSoftware engineering fundamentalsFeature engineeringAnalytics engineering frameworksApplied machine learning

Required

3–5 years of experience in data engineering or backend data systems (SaaS experience preferred)
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 such as Amazon Redshift (Snowflake or BigQuery acceptable)
Familiarity with AWS data services such as S3, Glue, Lambda, or Step Functions
Understanding of ELT best practices, data modeling, and schema design
Exposure to supporting machine learning workflows through data preparation or feature engineering
Knowledge of data security and privacy principles, including handling regulated data (PII, PHI)
Strong software engineering fundamentals, including version control, testing, and CI/CD practices
Bachelor's degree in Computer Science, Engineering, Statistics, or a related field
Due to FedRAMP requirements, candidates must be a U.S. Person

Preferred

Experience with DBT or analytics engineering frameworks
Familiarity with feature stores or ML pipelines
Experience supporting analytics or ML use cases for multiple business teams
Interest in applied machine learning and data-driven products

Benefits

Medical, Dental & Vision (Inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
Voluntary Short/Long Term Disability Insurance
401k (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
Above market annual bonuses

Company

Keeper Security, Inc.

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Keeper Security is transforming cybersecurity for millions of individuals and thousands of organizations globally.

Funding

Current Stage
Late Stage
Total Funding
$60.25M
Key Investors
Summit PartnersInsight Partners
2023-05-09Private Equity
2020-08-13Private Equity· $60M
2011-01-01Seed· $0.25M

Leadership Team

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Darren Guccione
Co-founder and CEO
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Craig Lurey
CTO, Co-founder
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Company data provided by crunchbase