Data Engineer II

Data Engineer

New York, NY

HealthTech

Compensation: $130,000-$170,000

(Unlimited PTO, Daily Catered Lunches, Remote Work Options)

This innovative and well established Healthtech organization is actively looking to add a Data Engineer to their Analytics team. They are looking for someone to come in and create new data architecture for BI solutions. The right candidate should be up to the challenge of blending the fast changing technology of big data analytics within the complex space of healthtech. You will report to the Senior Manager, who's team assist the businesses decisions using Big Data technology and machine learning techniques. The team works out of the beautiful Tampa Bay area, which has modern office spaces and first class amenities.

You will be responsible for:

• Work closely with analysts and data scientists to transform threat analytics into production-level code.
• Participate in requirements gathering and transformation from prototype to product design.
• Helping us stay current on the latest data processing tools and trends.

• Utilize machine learning, statistical data analytics, and predictive analytics to help implement analytics tied to cyber security and hunting methodologies and applications
• Applying latest technologies in machine learning, data mining, and predictive analytics to correlate the big datasets and events, and derive dynamic cybersecurity rules.

Minimum Qualifications:

• 4+ years industry experience focused on Data Science
• Experience writing and optimizing streaming and batch analytics.
• Proven knowledge of industry leading scripting tools such as Python, Powershell, R and SQL
• Strong​ ​hands-on​ ​programming​ ​skills, ​​with​ ​expertise​ ​in​ ​multiple​ ​implementation languages/frameworks​ ​including​ a subset of ​Python,​ ​Java, and Scala​ ​with​ ​delivery​ ​background​ ​in​ ​middleware,​ ​and​ ​backend​ ​implementations.
• BS/BA​ ​in​ ​Computer​ ​Science, ​ ​Engineering,​ ​or​ ​relevant​ ​field​ ​experience.
• Strong English verbal and written communication skills.

Ideal candidates will:

• Thrive in a small fast paced product driven enviornment

• Deliver​ ​features​ ​and​ ​fixes​ ​on​ ​tight​ ​schedules​ ​and​ ​under​ ​pressure
• Possess​ ​a​ ​strong​ ​interest​ ​or​ ​background​ ​in​ ​cyber​ ​security
• Create​ ​systems​ ​that​ ​are​ ​maintainable, ​ ​flexible​ ​and​ ​scalable

• Experience with cloud based big data platforms such as AWS or Google a plus