Keeper Security, Inc.Remote
Senior Analytics Engineer (Data Modeling & BI)
United States
Full-time
2 weeks ago
No H1B
Key skills
SQLDimensional data modelingAmazon RedshiftdbtAWS data servicesPythonData security principlesGit-based workflowsAgile development practicesBachelor’s degreeTableauAI capabilitiesDesign/code reviewscommunication skillsAIELTData EngineeringAnalyticsLookerBIBusiness IntelligencePower BISnowflakeRedshiftAWSLambdaS3GlueGitAgileCommunicationSales
About this role
Keeper Security is a leading cybersecurity company that is hiring a Senior Analytics Engineer to enhance their Data Engineering team. The role focuses on designing and implementing scalable analytics pipelines and dimensional data models to support business intelligence and reporting needs across the organization.
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
- 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