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Lead Big Data Software Engineering

Dallas, Texas

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JOB LOCATION: 208 S Akard St., Dallas, Texas 75202

DUTIES: 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.

Our Lead Big Data Software Engineering earn between $168,984 - $237,400 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:

Dallas, 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 ID R-106064 Date posted 05/21/2026
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Benefits

Your needs? Met. Your wants? Considered. Take a look at our comprehensive benefits.

  • Paid Time Off
  • Tuition Assistance
  • Medical and dental plans
  • Discounts
  • Training & Development

Learn more about benefits

Our hiring process

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Assessments

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Interview

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