Senior Data Engineer

Description

Keeper Security is hiring a Senior Data Engineer to join our growing Data Engineering team. 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 area.

Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations, globally. Join one of the fastest-growing cybersecurity companies and be responsible for designing and building data pipelines and analytical solutions that power our business intelligence and data-driven decision making.

About Keeper

Keeper Security is transforming cybersecurity for people and organizations around the world. Keeper’s affordable and easy-to-use solutions are built on a foundation of zero-trust and zero-knowledge security to protect every user on every device. Our next-generation privileged access management solution deploys in minutes 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 best-in-class password management, secrets management, privileged access, secure remote access and encrypted messaging. Learn more at KeeperSecurity.com.

About the Role

As a Senior Data Engineer, you will be responsible for architecting, building and optimizing data pipelines and systems to enable efficient data processing, storage and analysis. You will collaborate closely with data scientists, analysts and other stakeholders to understand data requirements and deliver scalable solutions that support business objectives. This role requires a strong foundation in software engineering, data modeling and distributed systems, along with expertise in data processing frameworks and tools.

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

• 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”