Data Eng Sr Prin II
About The Position
As a Data Engineer, you are responsible for designing data models, building data warehouses and data lakes, automating data pipelines and working with datasets of all sizes. You will optimize overall data/information flow by reducing redundancy and enabling accessibility within security boundaries. You apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. You create data collection frameworks for structured and unstructured data. Your solutions and create cyber and operational analytic tools for consumers that assist them in building and optimizing downstream products inclusive of constructing dataset procedures that can help with data mining, modeling, and production. You use and develop standards, tools, processes and governance for capturing, modeling, storing, and delivering data for the enterprise.
Requirements
- Minimum of 11 years' experience
- Experience integrating diverse data streams
- Experience with data transfer tools (Ex: NiFi, Cribl, etc)
- Establishes data standards and acts as custodian of IT and service delivery data sets and streams
- Experience in analyzing complex networks and systems
- Experience in analyzing log data from various network components and operating systems
- Knowledge of complex environments involving shared networks and multiple security enclaves
- Systems Engineer with Data Engineer background
- Ability to manage and troubleshoot data feeds
- Splunk familiarization
- Python
- Security Development and Operations (SecDevOps)
- Hands on Splunk Experience and Certifications
- Scripting tools to include Python, ShellScript, or Ansible
- Cloud security controls and implementation
- Public, private and hybrid Cloud experience (AWS, Microsoft Azure, etc.)
Nice To Haves
- Information Technology or Engineer Bachelor's or Master’s Degrees are preferred
- AWS Certified Security Specialty
Responsibilities
- Designing data models
- Building data warehouses and data lakes
- Automating data pipelines
- Working with datasets of all sizes
- Optimizing overall data/information flow by reducing redundancy and enabling accessibility within security boundaries
- Applying data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources
- Creating data collection frameworks for structured and unstructured data
- Creating cyber and operational analytic tools for consumers that assist them in building and optimizing downstream products inclusive of constructing dataset procedures that can help with data mining, modeling, and production
- Using and developing standards, tools, processes and governance for capturing, modeling, storing, and delivering data for the enterprise
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Health savings accounts
- 401(k) savings plan
- Disability coverage
- Life insurance
- Accident insurance
- Employee assistance program
- Legal plan
- Discounts on home insurance
- Discounts on auto insurance
- Discounts on pet insurance
- Paid time off
- Paid holidays
- Paid parental leave
- Military leave
- Bereavement leave
- Applicable federal and state sick leave
- Company recognition program for monetary or non-monetary recognition awards
- Medical benefits for temporary employees working 20+ hours per week
- Business travel accident insurance for temporary employees working 20+ hours per week
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
