**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. AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status