Keeper Security, Inc. is hiring a
Senior Data Engineer

Summary

Keeper Security is hiring a Senior Data Engineer for their Data Engineering team. This is a 100% remote position with an option for hybrid work in El Dorado Hills, CA or Chicago, IL. The role involves designing and building data pipelines and analytical solutions to support business intelligence and data-driven decision making.

Requirements

• 5+ years of experience using Python in a professional setting; SaaS experience is preferred
• Strong expertise in building and optimizing large-scale data pipelines using modern data technologies such as Apache Spark, Hadoop or Apache Kafka
• Experience with cloud-based data warehousing solutions such as Google BigQuery, Amazon Redshift or Snowflake
• Proficient in SQL, Python or Java and data modeling principles
• Solid knowledge of database systems and concepts, including SQL, NoSQL and distributed databases
• Knowledge of data security and privacy principles and experience working with regulated data (e.g., PII, PHI)
• Good understanding of software engineering principles and experience with software development best practices, including code versioning, testing and deployment
• Excellent problem-solving and analytical skills, with a drive for continuous improvement and learning
• Passionate about data and analytics as a lever to improve business performance
• Bachelor's degree in Computer Science, Engineering, Statistics or related field
• Keeper is FedRAMP authorized, therefore, all applicants must be a ‘U.S. Person’

Responsibilities

• Design and develop data pipelines to ingest and process large volumes of data from various sources
• Identify and implement data quality checks and monitoring mechanisms to ensure data accuracy and consistency
• Build and maintain large-scale analytical databases to support data-driven decision-making using Python
• Work closely with cross-functional teams, including data scientists and software engineers, to design and implement complex data models and analytical solutions
• Develop software tools and frameworks to automate the data pipeline and data processing workflows using Apache Spark, Hadoop, Apache Kafka, etc
• Analyze and optimize database performance, identify and resolve technical issues and perform troubleshooting as necessary
• Communicate effectively with non-technical stakeholders to gather requirements, convey technical information and present data-driven insights

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