Description
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.
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
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
Preferred Qualifications
- 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
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
Keeper Candidate Privacy Notice
This notice explains how Keeper Security processes your personal data during recruitment. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how personal data is processed) will be Keeper Security Inc. (US), Keeper Security EMEA Ltd. (Ireland), or Keeper Security APAC K.K (Japan).
1. Data We Collect
Information You provide:
- Contact details, CV/resume, cover letter
- Employment history, qualifications, work eligibility
- Application responses and uploaded documents
Information We generate:
- Interview notes, assessments, communications
- Scheduling information
Information From Others:
- Recruiter/referral information who submit your profile
- References (with your consent, before final offer)
- Public professional profiles
- Background verification (post offer)
Voluntary Diversity and Equal Opportunity Information
- We may ask you to voluntarily provide diversity information including race/ethnicity, gender, disability status and veteran status (US). Providing this information is optional and Keeper collects this data in order to comply with EEOC and similar requirements
2. How We Use Your Data
- Assess your application and suitability
- Manage interviews and recruitment workflow
- Consider you for other/future roles (we may seek your consent to keep your information on our systems beyond the retention period specified)
- Comply with employment law obligations
3. Legal Basis
- Legitimate Interests (recruitment management, security and integrity of the hiring process)
- Contracting steps (for progressed candidates)
- Legal and regulatory compliance obligations; explicit consent where required
4. Who We Share Information With
Internal:
- HR, hiring managers, interviewers*, IT support for system administration
*Note - diversity and equal opportunity data is not shared with hiring managers.
Third Parties:
Service providers who assist with:
- Applicant tracking, recruitment systems and assessment providers
- Background verification vendors (post offer)
- Recruitment agencies (where applicable)
- Tools to support communication, collaboration and to securely store your data
Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place.
5. International Transfers
Your data may be accessed by Keeper entities globally as needed for the purposes of hiring and decision making. We protect any such data transfer between Keeper entities using appropriate safeguards under applicable data protection laws.
6. Security
We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards.
7. Retention
We keep your data for 24 months from your last application activity, then delete or anonymize it.
Exceptions:
- You opt into our talent database for further retention by providing consent (extended retention)
- You're hired (transfers to employee records)
8. Your Rights
You have the following rights and can contact us at the email below to exercise them:
- Access, correct, or delete your data, subject to applicable law and retention requirements
- Object to or restrict processing
- Withdraw consent (where applicable)
- Request data portability
- Lodge a complaint with your data protection authority
If you become an employee, your rights regarding your employee record are governed by our internal Employee Privacy Notice and certain data will be retained as required under relevant laws such as employment or tax law.
When you request access to your personal data, some information may be redacted if it includes the personal data of other individuals or information that we must protect in order to preserve their privacy rights.
9. Automated Decisions
Keeper does not make hiring decisions using solely automated processing.
10. Contact - Candidates can send privacy questions to: [email protected]
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