Overview
On Site
USD 163,966.00 - 215,800.00 per year
Full Time
Skills
Apache Flex
Distributed Computing
NoSQL
Text Mining
Programming Languages
Documentation
Testing
Debugging
Analytics
Visualization
Agile
Computer Science
Computational Science
Industrial Engineering
Scala
Clojure
Apache Hadoop
Apache Pig
Apache Hive
HDFS
Apache Spark
Apache Storm
Oracle
Snow Flake Schema
Databricks
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Language Models
Big Data
Software Engineering
Insurance
Legal
Internet
Optical Fiber
Law
Job Details
Job Description:
JOB TITLE: Lead Big Data Software Engineering
REMOTE TYPE: Office Worker
*Office Worker: In office position with work from home allowed, i.e. flex or hybrid worker
JOB LOCATION: 2900 W Plano Pkwy., Plano, TX 75075
DUTIES: Responsible for the development of high performance, distributed computing tasks using Big Data and Generative AI technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies. 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 JVM-based function languages including Scala and Clojure. Utilize Hadoop query languages including Pig, Hive, Scalding, Cascalog, and PyCascading. Utilize HDFS-based computing frameworks including Spark and STORM. Utilize Oracle, Snowflake, and Databricks development environments. Utilize programming solutions using Generative AI solutions including Large Language Models and Small Language Models.
REQUIREMENTS: Requires a Bachelor degree, or foreign equivalent degree, in Computer Science, Scientific Computing, or Industrial Engineering and 5 years of progressive, post-baccalaureate experience in the job offered, or 5 years of progressive, post-baccalaureate experience in a related occupation utilizing JVM-based function languages including Scala and Clojure; utilizing Hadoop query languages including Pig, Hive, Scalding, Cascalog, and PyCascading; utilizing HDFS-based computing frameworks including Spark and STORM; utilizing Oracle, Snowflake, and Databricks development environments; and utilizing programming solutions using Generative AI solutions including Large Language Models and Small Language Models.
Our Lead Big Data Software Engineering roles earn between $163,966 - $215,800 yearly. Not to mention all the other amazing rewards that working at AT&T offers.
Joining our team comes with amazing perks and 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
Weekly Hours:
40
Time Type:
Regular
Location:
Plano, Texas
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
JOB TITLE: Lead Big Data Software Engineering
REMOTE TYPE: Office Worker
*Office Worker: In office position with work from home allowed, i.e. flex or hybrid worker
JOB LOCATION: 2900 W Plano Pkwy., Plano, TX 75075
DUTIES: Responsible for the development of high performance, distributed computing tasks using Big Data and Generative AI technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies. 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 JVM-based function languages including Scala and Clojure. Utilize Hadoop query languages including Pig, Hive, Scalding, Cascalog, and PyCascading. Utilize HDFS-based computing frameworks including Spark and STORM. Utilize Oracle, Snowflake, and Databricks development environments. Utilize programming solutions using Generative AI solutions including Large Language Models and Small Language Models.
REQUIREMENTS: Requires a Bachelor degree, or foreign equivalent degree, in Computer Science, Scientific Computing, or Industrial Engineering and 5 years of progressive, post-baccalaureate experience in the job offered, or 5 years of progressive, post-baccalaureate experience in a related occupation utilizing JVM-based function languages including Scala and Clojure; utilizing Hadoop query languages including Pig, Hive, Scalding, Cascalog, and PyCascading; utilizing HDFS-based computing frameworks including Spark and STORM; utilizing Oracle, Snowflake, and Databricks development environments; and utilizing programming solutions using Generative AI solutions including Large Language Models and Small Language Models.
Our Lead Big Data Software Engineering roles earn between $163,966 - $215,800 yearly. Not to mention all the other amazing rewards that working at AT&T offers.
Joining our team comes with amazing perks and 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
Weekly Hours:
40
Time Type:
Regular
Location:
Plano, Texas
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.