Company Description

Founded in 2017, Living Security’s mission is to help prevent cybersecurity breaches with a human risk management solution that does more than meet compliance needs, it also truly changes behavior. WE BELIEVE that empowering people is the key to ending cybersecurity breaches, picking up where traditional security awareness training drops off. Gamified learning and immersive experiences engage and educate users, while the science-backed, tech-enabled platform uniquely provides CISOs the ability to measure training efficacy and program ROI.

Named one of Austin’s Best Places to Work, the Living Security team is composed of 50+ cybersecurity professionals committed to transforming security awareness training as we know it and turning end users into the enterprise’s greatest asset against cybercrime. Living Security is trusted by security-minded organizations like CVS Health, MasterCard, Verizon, MassMutual, Biogen, AmerisourceBergen, Hewlett Packard, JP Morgan, and Target. Learn more at www.livingsecurity.com.

Job Description

As our dream candidate, you have the technical engineering chops and soft skills to communicate highly complex data trends to organizational leaders in a way that’s easy to understand, and you have a rare curiosity and creativity. You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments, building data pipelines, and ETL. You'll collaborate with data architects on the vision and execution of our data platform.

You're willing to jump right in to help the company get the most out of our data!

Qualifications

Minimum Qualifications:

• 8+ years of experience in a Data Engineer role
• 5+ years of experience developing data pipelines or ETLs
• 5+ years of experience in Python or Java
• Experience working with Apache Spark for data transformation and aggregation
• Experience with relational SQL databases, including Snowflake and Postgres
• Experience with stream-processing systems such as Spark-Streaming
• Ability to instrument basic automation and CI/CD and experience with data pipeline and workflow management tools: Jenkins/Git, Airflow, etc
• Knowledge of TDD, automated testing principles, and testing best practices
• Strong familiarity with cloud based services (AWS) 
• Previous experience with micro services architecture
• Experience with cloud managed data services
• A deep understanding of data modelling, experience with data engineering tools and platforms 

Preferred/Bonus Qualifications:

• Master's degree in computer science or related discipline
• Professional certifications
• Experience with Snowflake or Redshift
• Experience with Kafka, Spark, Kinesis, and/or Hadoop
• Built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting
• Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole, etc.) based Hadoop distributions
• Created big data architecture, built and operate data pipelines and maintained data storage, all within distributed systems
• Familiarity with container technologies (Docker/Kubernetes)

While we take our mission seriously, we have a lot of fun while executing! We believe our clients’ success equals our success and we think of ourselves as an extension of their team and align our goals with there’s. We're looking for someone who has a passion for our clients and a client-focused mindset for value-driven, strategic improvements to join our team.

Additional Information

Perks of Living Security:

• Open, inclusive, and fun environment
• Benefits, including medical, dental and vision insurance, short term disability, life insurance, 401(k)
• Competitive salary plus stock options
• Responsible PTO policy and paid holidays
• Work remote and flex-time options
• Opportunity to be a part of a company that is revolutionizing the cybersecurity industry
• Growth opportunities throughout the company

We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

All your information will be kept confidential according to EEO guidelines.