Why this role stands out
This hybrid Cloud Analytics Engineer role offers a significant opportunity to leverage your expertise in cloud analytics and programming languages to develop foundational identity intelligence analytics, with a competitive salary range of $185,000-$210,000. You'll thrive in this position if you are a collaborative team player with extensive experience and an active TS/SCI w/ poly clearance, eager to contribute to a reputable company and enjoy excellent benefits and PTO. Apply now to join a growing team and advance your career in a dynamic technological field.
Quick overview
Job description
We are seeking a Cloud Analytics Engineer to join our growing team! Looking for a team player who has a strong understanding of cloud analytics, large scale analytics and analytic programming languages to join a production team developing foundational identity intelligence analytics.
Desired Skills • GhostMachine Analytic experience
- Portable Map Reduce (PMR) framework
- Familiarity with AVP process and represent to AVG
- JAVA/Spring Framework/Spring Boot
- NiFi and Notifier experience
- Atlassian tool suite
- GitLab Requirements
Bachelors degree in a technical discipline from an accredited college or university is required. Five (5) years of additional experience may be substituted for a bachelor's degree
Active TS/SCI w/ poly clearance
Salary range - $185,000-$210,000, based on qualifications/experience
Please check out our amazing benefits and generous PTO plan HERE!! White Sky Technologies, LLC., provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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