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Data Engineer

Data Engineer

We’re seeking an experienced Data Engineer to join our MSS Engineering Team to help implement/support specific technology platforms used to deliver our internet-scale intelligence and managed security products.  This position will enable a talented individual to work hand-in-hand with some of the top security and data science experts in the business.  You will be leveraging your knowledge, skills, and experience to architect, build, optimize and maintain data pipelines that drive our big data cloud platforms and orchestration engine.  The sky is the limit as you help us evolve our technologies, processes, and capabilities to counter sophisticated and adaptive adversaries. 

Qualifications for the Role:


  • Love of data, data modeling, and data transformation.

  • Strong experience in architecting and building data pipelines.

  • Exceptional analytical skills to visualize how to transform unstructured data into actionable information.

  • Experience in data normalization, routing, storage, retrieval, archiving.

  • Experience with modern Agile practices such as Scrum and Kanban.

  • Experience with change management and CI/CD tools such as JIRA, Gitlab, etc. a plus.

  • BS/BA​ ​in​ ​Computer​ ​Science, Engineering​ ​or​ ​relevant​ ​field​ ​experience.

  • Experience in one or more programming or scripting languages such as Python, JavaScript, SPL, YAML, C++, JSON

  • Preferred technology experiences: AWS, Azure, GCP, Splunk, ELK, Google BigQuery, Cribl, Kubernetes, Hadoop, Kafka.



What you will do as an MSS Data Engineer:


  • Work with security engineers to extract and normalize data into a big data platform.

  • Use multiple technologies and methods to import new data sources into big data platforms.

  • Recommend and implement best practices on data storage and retrieval for performance and secure transmission.

  • Work with other security geeks.

  • Coordinate with product management, client delivery teams, and corporate management to execute aggressive, but realistic, projects.



General responsibilities include:


  • Work with cross-functional teams to proactively improve on existing integration and automation workflows.

  • Maintain​ ​up-to-date​ ​knowledge​ ​of​ ​technology​ ​standards, ​ ​industry​ ​trends, ​ ​emerging​ ​technologies, and​ MSS ​best​ ​practices.

  • Ensure​ ​technical​ ​issues​ ​are​ ​quickly​ ​resolved​ ​and​ ​help​ ​implement​ ​strategies​ ​and​ ​solutions​ ​to reduce​ ​the​ ​likelihood​ ​of​ ​recurrence.

  • Work with peers to ensure the end-to-end solution provided by BV works seamlessly for our clients.



Ideal candidates will:


  • Thrive​ ​in​ ​our​ ​small, ​fast-paced, ​product-driven​ ​environment.

  • Collaborate​ ​with​ ​teams​ ​from​ ​across​ ​the​ ​organization.

  • Execute ​on​ ​tight​ ​schedules​ ​and​ ​under​ ​pressure.

  • Present​ ​ideas​ ​in​ ​business-friendly​ ​and​ ​user-friendly​ ​language.

  • Follow ​a​ ​disciplined​ workflow driven by well-defined requirements.

  • Demonstrate​ ​ownership​ ​of​ ​tasks​ ​with​ ​escalation​ ​as​ ​needed.

  • Be​ ​a​ ​subject​ ​matter​ ​expert​ ​in​ how a set of technologies work together.

  • Relentlessly​ ​push​ ​for​ ​successful​ operational ​outcomes.

  • Possess​ ​a​ ​strong​ ​interest​ ​or​ ​background​ ​in​ ​cybersecurity.



 


Position

Data Scientist


Must have Skills

  • Hadoop

    Beginner

  • Kubernetes

    Beginner

  • AWS

    Beginner

  • Python

    Beginner

  • CI/CD

    Beginner

  • Scrum Framework

    Beginner

  • Data Modeling

    Beginner

Client Payroll

Up to 450 K/Year USD (Annual salary)

Fully Remote

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Data Engineer

Data Engineer

We’re seeking an experienced Data Engineer to join our MSS Engineering Team to help implement/support specific technology platforms used to deliver our internet-scale intelligence and managed security products.  This position will enable a talented individual to work hand-in-hand with some of the top security and data science experts in the business.  You will be leveraging your knowledge, skills, and experience to architect, build, optimize and maintain data pipelines that drive our big data cloud platforms and orchestration engine.  The sky is the limit as you help us evolve our technologies, processes, and capabilities to counter sophisticated and adaptive adversaries. 

Qualifications for the Role:


  • Love of data, data modeling, and data transformation.

  • Strong experience in architecting and building data pipelines.

  • Exceptional analytical skills to visualize how to transform unstructured data into actionable information.

  • Experience in data normalization, routing, storage, retrieval, archiving.

  • Experience with modern Agile practices such as Scrum and Kanban.

  • Experience with change management and CI/CD tools such as JIRA, Gitlab, etc. a plus.

  • BS/BA​ ​in​ ​Computer​ ​Science, Engineering​ ​or​ ​relevant​ ​field​ ​experience.

  • Experience in one or more programming or scripting languages such as Python, JavaScript, SPL, YAML, C++, JSON

  • Preferred technology experiences: AWS, Azure, GCP, Splunk, ELK, Google BigQuery, Cribl, Kubernetes, Hadoop, Kafka.



What you will do as an MSS Data Engineer:


  • Work with security engineers to extract and normalize data into a big data platform.

  • Use multiple technologies and methods to import new data sources into big data platforms.

  • Recommend and implement best practices on data storage and retrieval for performance and secure transmission.

  • Work with other security geeks.

  • Coordinate with product management, client delivery teams, and corporate management to execute aggressive, but realistic, projects.



General responsibilities include:


  • Work with cross-functional teams to proactively improve on existing integration and automation workflows.

  • Maintain​ ​up-to-date​ ​knowledge​ ​of​ ​technology​ ​standards, ​ ​industry​ ​trends, ​ ​emerging​ ​technologies, and​ MSS ​best​ ​practices.

  • Ensure​ ​technical​ ​issues​ ​are​ ​quickly​ ​resolved​ ​and​ ​help​ ​implement​ ​strategies​ ​and​ ​solutions​ ​to reduce​ ​the​ ​likelihood​ ​of​ ​recurrence.

  • Work with peers to ensure the end-to-end solution provided by BV works seamlessly for our clients.



Ideal candidates will:


  • Thrive​ ​in​ ​our​ ​small, ​fast-paced, ​product-driven​ ​environment.

  • Collaborate​ ​with​ ​teams​ ​from​ ​across​ ​the​ ​organization.

  • Execute ​on​ ​tight​ ​schedules​ ​and​ ​under​ ​pressure.

  • Present​ ​ideas​ ​in​ ​business-friendly​ ​and​ ​user-friendly​ ​language.

  • Follow ​a​ ​disciplined​ workflow driven by well-defined requirements.

  • Demonstrate​ ​ownership​ ​of​ ​tasks​ ​with​ ​escalation​ ​as​ ​needed.

  • Be​ ​a​ ​subject​ ​matter​ ​expert​ ​in​ how a set of technologies work together.

  • Relentlessly​ ​push​ ​for​ ​successful​ operational ​outcomes.

  • Possess​ ​a​ ​strong​ ​interest​ ​or​ ​background​ ​in​ ​cybersecurity.



 


Job Type

Client Payroll


Positions

Data Scientist


Must have Skills

  • Hadoop

    Beginner

  • Kubernetes

    Beginner

  • AWS

    Beginner

  • Python

    Beginner

  • CI/CD

    Beginner

  • Scrum Framework

    Beginner

  • Data Modeling

    Beginner

Up to 450 K/Year USD (Annual salary)

Longterm (Duration)

Fully Remote

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Sangya S

| United States