Our client is a cybersecurity company whose mission is to solve the toughest challenges faced by today’s leading organizations across an ever-evolving digital threat landscape. Through expertise and engineering, they help today’s leading organizations solve complex cybersecurity problems across critical enterprise assets and product portfolios. They are bringing together the world’s security expertise to solve the cybersecurity problem and secure the next-wave innovation.

They are looking to add a Senior Data Engineer to their growing, 100% Remote, team to support the next wave of cybersecurity products and solutions.

Core Qualifications for our client’s Senior Data Engineer:

  • At least 8 years experience designing and building data processing/ETL pipelines
  • At least 8 years experience in Python and Spark or similar technologies
  • At least 8 years experience with SQL and relational databases
  • At least 8 years experience parsing flat files 
  • 8+ years of development experience
  • Prior track record in a hyper-growth, high-tech company
  • Bachelor’s degree or equivalent practical experience

Desired qualifications:

  • Experience and interest in identifying security vulnerabilities in source code
  • Experience and interest in machine learning
  • Understanding of statistics and data analysis
  • Experience with a variety of programming languages and technologies (Java, Python, C++, C#, JavaScript, Go, Scala, etc.)
  • Experience with SQL and relational databases
  • Experience with Git, Mecurial, Maven, Gradle and other build and source code management tools
  • Experience with Google BigQuery, Compute Engine, and Cloud Storage
  • Experience with Docker and Kubernetes
  • Experience in static analysis
  • Experience with modern technology stacks
  • Experience with micro-services architectures
  • Experience with cloud platforms and SaaS solutions
  • Experience with agile/scrum development practices
  • Experience with test driven development, continuous integration, continuous deployment

Benefits of joining our client’s team as a Senior Data Engineer:

  • Excellent Compensation range in the $150k – $180k range depending on experience
  • Comprehensive benefits include 16 weeks of fully paid maternity and paternity leave, Ownership opportunity through an employee stock option plan, Health, dental, and vision insurance, 4% company 401K matching vested immediately 
  • Be recognized, internally and publicly, for your contributions in a high profile position
  • Align your career trajectory with a hyper-growth company that is rapidly scaling
  • Be part of the initial team designing and building out product
  • Join an industry with massive socio, economic, and political importance in the 21st century 
  • Work alongside some of the best and the brightest minds in the security industry 
  • Leave an indelible mark on a company where individual input has a real impact 
  • Be recognized, internally and publicly, for your contributions in a high profile position 
  • Align your career trajectory with a hyper-growth company that is on the move

Core responsibilities of our client’s Senior Data Engineer position:

  • Create a roadmap for our client’s data acquisition and labeling efforts
  • Create tools to find, ingest, organize, maintain, and label complex data sets for use in machine learning models
  • Work with data scientists to create and maintain data ontologies for security 
  • Work with security engineers to identify and label vulnerabilities in source code repositories
  • Continually evolve the data engineering infrastructure and techniques to improve the client’s ability to find security information 
  • Mentor junior data engineers and teach them how to use data engineering techniques to solve real world problems
  • Communicate complex concepts to team members
  • Creation and curation of source code datasets for the machine learning effort
  • Creation of data engineering pipelines to find and ingest source code
  • Creation of data engineering tools to help label and validate data 

INDSJ