Keeper Security, Inc.

Manage, protect and monitor all your organization's passwords, secrets and remote connections with zero-trust security

Data Engineer, Analytics, Machine Learning Enablement

Data EngineerData EngineerFull TimeRemoteTeam 501-1,000Since 2011Company SiteLinkedIn

Location

California + 1 moreAll locations: California, Illinois

Posted

13 days ago

Salary

Not specified

Bachelor Degree3 yrs expEnglishAmazon RedshiftAWSBig QueryCloudPythonSQL

Job Description

• 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

Job 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.

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

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