Staff Data Engineer

February 17

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Logo of 1Password

1Password

1Password is a leading password management and cybersecurity company that offers solutions for both individual and business customers to securely store and manage passwords, secrets, and sensitive information. With features like extended access management (XAM), 1Password empowers users to manage access to every application and web account, ensuring security across all devices with alerts for possible breaches. Trusted by over 150,000 businesses, 1Password provides comprehensive security solutions that enhance productivity by enabling easy and secure sharing of credentials and managing permissions, while maintaining high visibility and control. Their services cater to enterprises and families, providing protection from bad actors in today's SaaS-centric hybrid work environment.

501 - 1000 employees

Founded 2009

🔒 Cybersecurity

☁️ SaaS

⚡ Productivity

💰 $620M Series C on 2022-01

📋 Description

• We all have important information we need to manage, and protecting it should be easy. Over 150,000 businesses and millions of people log in to 1Password to unlock smart, simple access to everything they care about. • Our vision is to create a safer, simpler digital future for everyone, and our culture values simplicity, honesty and a human-centric approach to solving problems. • As a Staff Data Engineer, you will be leading the architecture, design and development of data pipelines and services to enable data-driven decision-making, deliver business intelligence, machine learning, experimentation and company-wide data strategy. • This is a remote opportunity within Canada and the US.

🎯 Requirements

• Minimum of 8+ years of professional software engineering experience. • Minimum of 7 years technical engineering experience building data processing applications (batch and streaming) with coding in languages. • In-depth, hands-on experience on extensible data modeling, query optimizations and work in Java, Scala, Python, and related technologies. • Experience in data modeling across external facing product insights and business processes, such as revenue/sales operations, finance, and marketing. • Experience with Big Data query engines such as Hive, Presto, Trino, Spark. • Experience with data stores such as Redshift, MySQL, Postgres, Snowflake, etc. • Experience using Realtime technologies like Apache Kafka, Kinesis, Flink, etc. • Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of datastores like RDBMS, key-value stores, etc. • Experience leveraging distributed systems at scale and systems knowledge on infrastructure hardware, resources bare-metal hosts to containers to networking.

🏖️ Benefits

• Maternity and parental leave top-up programs • Wellness spending allowance • Generous PTO policy • Company-wide wellness days off scheduled throughout the year • Wellness Coach membership • Comprehensive health coverage • Company equity for all full-time employees • Retirement matching program • Training budget, 1Password University access, and learning sessions • Free 1Password account (and friends and family discount!) • Paid volunteer days • Employee-led DEIB programs and ERGs and ECGs • Fully remote environment • Peer-to-peer recognition through Bonusly

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