Data Engineer, Analytics & Machine Learning EnablementKeeper Security, Inc. • United States
Data Engineer, Analytics & Machine Learning Enablement
Keeper Security, Inc.
- United States
- United States
About
Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and sold in over 150 countries. Join one of the fastest‑growing cybersecurity companies and help design and build data pipelines and models that power analytics, operational reporting, and downstream machine‑learning use cases.
About the Role As a Data Engineer, you will design and maintain analytics data pipelines and data models that support reporting, dashboards, and ML‑adjacent workflows. You will work closely with data analysts, ML engineers, and business stakeholders to ensure data is reliable, well‑modeled, and accessible. This role is ideal for a mid‑level data engineer who is strong in analytics engineering and interested in supporting machine learning use cases without owning model development.
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 (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 Qualifications
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
Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E‑Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Languages
- English
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