Values

The ad says“Network Engineer: Help plan, build, and operate advanced wireless and fiber networks, including 5G and fiber solutions. Use data, automation, AI/ML, and technical problem-solving to improve network performance, optimize operations, and support data-informed decisions. Skills in analytics, programming, automation, communication, and leadership are helpful.”
The ad says“Software Engineer: Build reliable, scalable software that solves real-world problems. Write clean, maintainable code, test and improve solutions, use AI-assisted development tools, and collaborate with cross-functional teams. Familiarity with Java, Python, JavaScript, React, Angular, or Node.js is helpful.”
The ad says“Business Analytics Engineer: Use data, dashboards, automation, systems thinking, and AI tools to improve technical processes and operations. Partner across teams to connect people, processes, and systems, translate complex information into insights, and create practical solutions. Experience with analytics, dashboards, automation, and strong communication is preferred.”
The ad says“Business Analytics Engineer: Use data, dashboards, automation, systems thinking, and AI tools to improve technical processes and operations. Partner across teams to connect people, processes, and systems, translate complex information into insights, and create practical solutions. Experience with analytics, dashboards, automation, and strong communication is preferred.”
The ad says“Network Engineer: Help plan, build, and operate advanced wireless and fiber networks, including 5G and fiber solutions. Use data, automation, AI/ML, and technical problem-solving to improve network performance, optimize operations, and support data-informed decisions. Skills in analytics, programming, automation, communication, and leadership are helpful.”
The ad says“Data Science Engineer: Use data science, machine learning, generative AI, and software engineering to solve complex business challenges. Work with large datasets, build models and data pipelines, explore AI agents and automation, and turn insights into business impact. Experience with Python, SQL, machine learning, and data analysis is preferred; familiarity with R, Spark, LLMs, RAG, prompt engineering, or model evaluation is a plus.”
The ad says“Software Engineer: Build reliable, scalable software that solves real-world problems. Write clean, maintainable code, test and improve solutions, use AI-assisted development tools, and collaborate with cross-functional teams. Familiarity with Java, Python, JavaScript, React, Angular, or Node.js is helpful.”
The ad says“Software Engineer: Build reliable, scalable software that solves real-world problems. Write clean, maintainable code, test and improve solutions, use AI-assisted development tools, and collaborate with cross-functional teams. Familiarity with Java, Python, JavaScript, React, Angular, or Node.js is helpful.”
The ad says“Data Science Engineer: Use data science, machine learning, generative AI, and software engineering to solve complex business challenges. Work with large datasets, build models and data pipelines, explore AI agents and automation, and turn insights into business impact. Experience with Python, SQL, machine learning, and data analysis is preferred; familiarity with R, Spark, LLMs, RAG, prompt engineering, or model evaluation is a plus.”
The ad says“Data Science Engineer: Use data science, machine learning, generative AI, and software engineering to solve complex business challenges. Work with large datasets, build models and data pipelines, explore AI agents and automation, and turn insights into business impact. Experience with Python, SQL, machine learning, and data analysis is preferred; familiarity with R, Spark, LLMs, RAG, prompt engineering, or model evaluation is a plus.”
The ad says“Software Engineer: Build reliable, scalable software that solves real-world problems. Write clean, maintainable code, test and improve solutions, use AI-assisted development tools, and collaborate with cross-functional teams. Familiarity with Java, Python, JavaScript, React, Angular, or Node.js is helpful.”
The ad says“Data Science Engineer: Use data science, machine learning, generative AI, and software engineering to solve complex business challenges. Work with large datasets, build models and data pipelines, explore AI agents and automation, and turn insights into business impact. Experience with Python, SQL, machine learning, and data analysis is preferred; familiarity with R, Spark, LLMs, RAG, prompt engineering, or model evaluation is a plus.”
The ad says“Software Engineer: Build reliable, scalable software that solves real-world problems. Write clean, maintainable code, test and improve solutions, use AI-assisted development tools, and collaborate with cross-functional teams. Familiarity with Java, Python, JavaScript, React, Angular, or Node.js is helpful.”
The ad says“Data Science Engineer: Use data science, machine learning, generative AI, and software engineering to solve complex business challenges. Work with large datasets, build models and data pipelines, explore AI agents and automation, and turn insights into business impact. Experience with Python, SQL, machine learning, and data analysis is preferred; familiarity with R, Spark, LLMs, RAG, prompt engineering, or model evaluation is a plus.”
The ad says“Data Science Engineer: Use data science, machine learning, generative AI, and software engineering to solve complex business challenges. Work with large datasets, build models and data pipelines, explore AI agents and automation, and turn insights into business impact. Experience with Python, SQL, machine learning, and data analysis is preferred; familiarity with R, Spark, LLMs, RAG, prompt engineering, or model evaluation is a plus.”
The ad says“Software Engineer: Build reliable, scalable software that solves real-world problems. Write clean, maintainable code, test and improve solutions, use AI-assisted development tools, and collaborate with cross-functional teams. Familiarity with Java, Python, JavaScript, React, Angular, or Node.js is helpful.”
The ad says“Data Science Engineer: Use data science, machine learning, generative AI, and software engineering to solve complex business challenges. Work with large datasets, build models and data pipelines, explore AI agents and automation, and turn insights into business impact. Experience with Python, SQL, machine learning, and data analysis is preferred; familiarity with R, Spark, LLMs, RAG, prompt engineering, or model evaluation is a plus.”
The ad says“Data Science Engineer: Use data science, machine learning, generative AI, and software engineering to solve complex business challenges. Work with large datasets, build models and data pipelines, explore AI agents and automation, and turn insights into business impact. Experience with Python, SQL, machine learning, and data analysis is preferred; familiarity with R, Spark, LLMs, RAG, prompt engineering, or model evaluation is a plus.”
The ad says“Network Engineer: Help plan, build, and operate advanced wireless and fiber networks, including 5G and fiber solutions. Use data, automation, AI/ML, and technical problem-solving to improve network performance, optimize operations, and support data-informed decisions. Skills in analytics, programming, automation, communication, and leadership are helpful.”

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. 

Join AT&T and help shape the future of communications and technology that connect the world. We value innovators who seek to explore the unknown and challenge the status quo. Bring your bold ideas and fearless spirit to redefine connectivity and transform how people share stories and experiences. At AT&T, you won’t just imagine the future—you’ll build it.

AT&T is seeking motivated recent graduates for our Technology Development Program, a 24 - 36 month project-based rotational experience across four tracks. Participants will work on impactful projects, collaborate with cross-functional teams, and gain broad technical skills to accelerate their technology careers. We’re looking for curious, collaborative problem solvers who are excited to use technology, data, automation, AI, and engineering to build practical solutions and continue growing.

What you’ll do:

Software Engineer: Build reliable, scalable software that solves real-world problems. Write clean, maintainable code, test and improve solutions, use AI-assisted development tools, and collaborate with cross-functional teams. Familiarity with Java, Python, JavaScript, React, Angular, or Node.js is helpful.
Data Science Engineer: Use data science, machine learning, generative AI, and software engineering to solve complex business challenges. Work with large datasets, build models and data pipelines, explore AI agents and automation, and turn insights into business impact. Experience with Python, SQL, machine learning, and data analysis is preferred; familiarity with R, Spark, LLMs, RAG, prompt engineering, or model evaluation is a plus.
Business Analytics Engineer: Use data, dashboards, automation, systems thinking, and AI tools to improve technical processes and operations. Partner across teams to connect people, processes, and systems, translate complex information into insights, and create practical solutions. Experience with analytics, dashboards, automation, and strong communication is preferred.
Network Engineer: Help plan, build, and operate advanced wireless and fiber networks, including 5G and fiber solutions. Use data, automation, AI/ML, and technical problem-solving to improve network performance, optimize operations, and support data-informed decisions. Skills in analytics, programming, automation, communication, and leadership are helpful.

What you’ll bring:

Integrity, accountability, and thoughtful decision-making
Strong communication and collaboration skills
Initiative, ownership, and leadership potential
Curiosity, a learning mindset, and a drive to deliver meaningful results

What you’ll need:

A four-year or graduate degree in a STEM field (Science, Technology, Engineering, or Math) completed before the start date.
Availability to begin full-time employment by July 2027.
Ability to work on-site 5 days per week at the specified office locations.

Our Technology Development Program managers earn between $77,800 - $130,800 annually. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

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

Ready to join our team? Apply today!

By applying for this opportunity, you may be considered for other AT&T technical disciplines within the Technology Development Program at other AT&T locations throughout the U.S.

Applicants must be authorized to work in the United States on a full-time basis without the need for employer sponsorship now or in the future. AT&T will not hire any applicants for Technology Development Program Full-Time who require employer sponsorship now or in the future.

AT&T will consider qualified applicants for employment in a manner consistent with the requirements of federal, state, & local laws.

Weekly Hours:

Time Type:

Regular

Location:

Atlanta, Georgia, Bothell, Washington, Dallas, Texas, Middletown, New Jersey

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.