Lead Big Data Software Engineering

AT&T•Dallas, TX

1d•$168,984 - $237,400•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. Familiarity with JVM-based function languages including Scala and Clojure; Hadoop query languages including Pig, Hive, Scalding, Cascalog, PyCascading; along with alternative HDFS-based computing frameworks including Spark and STORM are desirable. Key Roles and Responsibilities: Uses Big Data programming languages and technology, writes code, completes programming and documentation, and performs testing and debugging of applications. Analyzes, designs, programs, debugs and modifies software enhancements and/or new products used in distributed, large-scale analytics and visualization solutions. Interacts with data scientists and industry experts to understand how data needs to be converted, loaded and presented. Works in a highly agile environment. Utilize AI/ML tooling and techniques to implement highly productive Data Science solutioning that spans supervised/unsupervised predictive analytics, neural networks, and deep learning. Utilize alternative HDFS-based computing frameworks including Python programming, and AI-Computer Vision. Utilize Image Processing (AI-Computer Vision) and Optical Character Recognition (OCR) model packages.

Requirements

Requires a Bachelor’s degree, or foreign equivalent degree in Computer Science, Engineering Physics, or Scientific Computing and five (5) years of progressive, post-baccalaureate experience in the job offered or five (5) years of progressive, post-baccalaureate experience in a related occupation utilizing AI/ML tooling and techniques to implement highly productive Data Science solutioning that spans supervised/unsupervised predictive analytics, neural networks, and deep learning; utilizing alternative HDFS-based computing frameworks including Python programming, and AI-Computer Vision; and utilizing Image Processing and Optical Character Recognition (OCR) model packages.

Nice To Haves

Familiarity with JVM-based function languages including Scala and Clojure; Hadoop query languages including Pig, Hive, Scalding, Cascalog, PyCascading; along with alternative HDFS-based computing frameworks including Spark and STORM are desirable.

Responsibilities

Uses Big Data programming languages and technology, writes code, completes programming and documentation, and performs testing and debugging of applications.
Analyzes, designs, programs, debugs and modifies software enhancements and/or new products used in distributed, large-scale analytics and visualization solutions.
Interacts with data scientists and industry experts to understand how data needs to be converted, loaded and presented.
Works in a highly agile environment.
Utilize AI/ML tooling and techniques to implement highly productive Data Science solutioning that spans supervised/unsupervised predictive analytics, neural networks, and deep learning.
Utilize alternative HDFS-based computing frameworks including Python programming, and AI-Computer Vision.
Utilize Image Processing (AI-Computer Vision) and Optical Character Recognition (OCR) model packages.

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