Senior Dataflow Engineer

Que Technology Group is seeking a Dataflow Engineer who will focus on system operations, troubleshooting, maintenance, with specific attention to NiFi dataflows and NiFi cluster management; some light Python scripting is required.  The candidate will also support system integration, upgrade, and deployment activities.  The majority of the time will be spent working with systems that ingest large volumes of data. Responsibilities will include Elastic cluster management and deployment, creating Kibana visualizations and dashboards, and enhancing data analytic solutions.

Job Responsibilities/Qualifications:

• Mission Focus: Foundational processing and dataflow within operations; increasing efficiency and throughput
• Technical Proficiency: Strong experience working knowledge of NiFi is required; in-depth understanding of corporate dataflow and knowledge of common tools such as DX, ElasticSearch, Kibana; intermediate knowledge of Linux and Docker
• Qualifications: Bachelor's degree plus 8-years of relevant experience or equivalent.
• Desirable Skills: Knowledge and/or experience with the customer's analytic tools; Kubernetes, Kafka 

Security Clearance:

• Active TS/SCI clearance with polygraph.

BENEFITS:

• Competitive salary
• Company Medical/Dental/Vision plans – Company paid  
• Short-term Disability, Long-term disability and Life Insurance – Company paid    
• Business/ First Class travel upgrade for 7 hour or longer flights & company card will be provided for expenses    
• Vacation / Personal days granted at 25 days per year   
• Paid Federal Holidays – 11 days    
• $5,000 Annual Professional Development Fund plus 40 paid hours if in class    
• 401K with 6% company match; all contributions are immediately vested by Employee   
• Employee will be paid a bonus of $10,000 per employee hired based on their referral    
• Up to 3 paid Code Red days due to customer closure

Que Technology Group, Inc., is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.