Senior Analytics Engineer (Data Modeling & BI)

Keeper Security

2d•Remote

About The Position

Keeper Security is hiring a Senior Data Engineer to join our growing Data Engineering team, with a focus on analytics data modeling and business intelligence platforms. 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 analytics data pipelines and models that power decision-making across the business. About Keeper Keeper Security is transforming cybersecurity for organizations globally with zero-trust privileged access management built with end-to-end encryption. Keeper’s cybersecurity solutions are FedRAMP and StateRAMP Authorized, SOC 2 compliant, FIPS 140-2 validated, as well as ISO 27001, 27017 and 27018 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 millions of individuals and thousands of organizations, Keeper is the leader for password, passkey and secrets management, privileged access, secure remote access and encrypted messaging. Learn how our zero-trust and zero-knowledge solutions defend against cyber threats at KeeperSecurity.com. About the Role As a Senior Data Engineer, you will design and implement scalable analytics pipelines and dimensional data models that support reporting, dashboards, and KPI-driven insights across the organization. You will collaborate closely with analysts, stakeholders, and other data engineers to translate business requirements into performant, well-governed analytics infrastructure. This role requires deep expertise in SQL, analytical data modeling, and BI-oriented data architecture, along with strong communication skills and a product mindset for data.

Requirements

5+ years of experience in data engineering with a strong focus on analytics and business intelligence
Expert-level proficiency in SQL and dimensional data modeling
Hands-on experience with Amazon Redshift, including performance tuning and optimization
Strong experience using dbt for analytics engineering, including transformations, testing, and documentation
Experience building ELT workflows using AWS data services such as S3, Glue, Lambda, or Step Functions
Working knowledge of Python for data processing or pipeline orchestration
Understanding of data security and privacy principles, including experience with regulated data (PII, PHI)
Experience with Git-based workflows and Agile development practices
Strong communication skills and ability to explain technical concepts to business stakeholders
Bachelor’s degree in Computer Science, Engineering, Statistics, Information Systems, or related field
Due to FedRAMP requirements, candidates must be a U.S. Person

Nice To Haves

Experience with Tableau or similar BI tools
Familiarity with AI capabilities and applying AI to improve data workflows
Experience supporting analytics for multiple business functions (finance, marketing, sales, product)
Experience leading design or code reviews in data teams

Responsibilities

Develop and maintain data replication and ELT pipelines feeding the analytics platform
Design and implement dimensional data models using star and snowflake schemas
Build and maintain data transformations that convert operational data into analytics-ready datasets
Implement data quality checks, testing, and validation to ensure accuracy of KPIs and metrics
Create and maintain documentation for data models, business logic, and data lineage
Establish data governance standards for analytics, including naming conventions, access controls, and metric definitions
Partner with BI tool users (Tableau, Looker, Power BI) to design efficient, performant data structures
Mentor junior engineers and analysts on data modeling, SQL optimization, and analytics best practices

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

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume