Data Engineer, Analytics & Machine Learning Enablement

Description

Keeper Security is hiring a Data Engineer to join our growing Data Engineering organization, with a focus on building analytics platforms and enabling machine-learning-driven insights across the business. This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro areas.

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 Keeper

Keeper Security is transforming cybersecurity for organizations around the world with next-generation privileged access management. Keeper’s zero-trust and zero-knowledge cybersecurity solutions are FedRAMP and StateRAMP Authorized, FIPS 140-2 validated, as well as SOC 2 and ISO 27001 certified. Keeper deploys in minutes, not months, and seamlessly integrates with any tech stack to prevent breaches, reduce help desk costs and ensure compliance. Trusted by thousands of organizations to protect every user on every device, Keeper is the industry leader for best-in-class password management, secrets management, privileged access, secure remote access and encrypted messaging. Learn more at KeeperSecurity.com.

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.

Classification: Exempt