Senior Data/AI Engineering

AT&T•Plano, TX

4d•$143,800 - $215,800•Onsite

About The Position

Responsible for the development of high performance, distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies related to Network Engineering and Operations domains and functions. Analyze, design, program, debug and modify software enhancements and/or new products used in distributed, large-scale analytics and visualization solutions. Interact with data scientists and industry experts to understand how data needs to be converted, loaded, and presented. Work in a highly agile environment. Develop datasets and coded deliverables based on network engineering and alarming aspects of these networks within a top tier Internet Service Provider (ISP). Apply detailed knowledge of networking and telecommunications engineering and operations processes for wireline and mobility networking.

Requirements

Master’s degree, or foreign equivalent degree in Computer Science, Data Science, Math, Electronic Engineering or Scientific Computing
3 years of experience in the job offered or 3 years of experience in a related occupation developing high performance and distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, and text mining
3 years of experience using JVM-based function languages including Scala and Clojure
3 years of experience using Hadoop query languages including Pig, Hive, Scalding, Cascalog, and PyCascading
3 years of experience utilizing alternative HDFS-based computing frameworks including Spark and STORM
3 years of experience interacting with data scientists and industry experts to understand how data needs to be converted, loaded and presented
3 years of experience utilizing Python, PySpark, SQL, Java, MongoDB, and SOLR
3 years of experience working in Databricks and MS Azure cloud architecture
3 years of experience in network-related experience utilizing detailed understanding of the Open Systems Interconnection (OSI) model in operation with specific knowledge of physical, datalink, and network layers
3 years of experience developing datasets and coded deliverables based on network engineering and alarming aspects of these networks within a top tier Internet Service Provider (ISP)
3 years of experience applying detailed knowledge of networking and telecommunications engineering and operations processes for wireline and mobility networking.

Responsibilities

Development of high performance, distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies related to Network Engineering and Operations domains and functions.
Utilize JVM-based function languages including Scala and Clojure; Hadoop query languages including Pig, Hive, Scalding, Cascalog, PyCascading; and alternative HDFS-based computing frameworks including Spark and STORM.
Utilize Big Data programming languages and technology, write code, complete programming, and documentation, and perform testing and debugging of applications.
Analyze, design, program, debug and modify software enhancements and/or new products used in distributed, large-scale analytics and visualization solutions.
Interact with data scientists and industry experts to understand how data needs to be converted, loaded, and presented.
Work in a highly agile environment.
Utilize Python, PySpark, SQL, Java, MongoDB, and SOLR.
Work in Databricks and MS Azure cloud architecture.
Utilize detailed understanding of the Open Systems Interconnection (OSI) model in operation with specific knowledge of physical, datalink, and network layers.
Develop datasets and coded deliverables based on network engineering and alarming aspects of these networks within a top tier Internet Service Provider (ISP).
Apply detailed knowledge of networking and telecommunications engineering and operations processes for wireline and mobility networking.

Benefits

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone