Skills this job asks for
Data engineeringMachine learningAzureAWSGoogle CloudPythonSQL
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 393 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What AT&T Services INC paid sponsored hires in similar roles2 certified filings for “Lead Data/AI Engineering” (Data Scientists) in NJ: $173k–$173k, median $173k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 393 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What AT&T Services INC paid sponsored hires in similar roles
- 2 certified filings for “Lead Data/AI Engineering” (Data Scientists) in NJ: $173k–$173k, median $173k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered .
"AT&T will not hire any applicants for this position who require employer sponsorship now or in the future."
Join AT&T and reimagine the communications and technologies that connect the world. The Data Science team at AT&T leads transformation through data-driven decisions that enhance the customer experience and businesses worldwide. Leveraging one of the largest data sets available, we develop meaningful insights that drive continuous innovation. We utilize the latest technology to develop generative AI solutions with real business impacts. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.
Key Roles and Responsibilities
• Responsible for supporting and optimizing enterprise AI and data platforms to enable reliable, scalable, and secure AI-driven business operations.
• Designs, implements, and maintains data pipelines, platform automation, AI workflows, and operational processes that support machine learning and generative AI solutions.
• Monitors platform health, ensures data quality, manages production support activities, and drives continuous improvement of AI and data services.
• Collaborates with cross-functional teams to operationalize AI capabilities, enhance platform performance, and deliver business value through data-driven innovation.
• Collaborate with data scientists, AI engineers, software developers, and business stakeholders to operationalize AI solutions.
Qualifications
• Bachelor's degree (BS/BA) in Computer Science, Data Science, Information Systems or a related technical field preferred.
• 7+ years of experience in data engineering, AI/ML operations, platform engineering, analytics engineering, or related technology disciplines.
• Experience supporting enterprise-scale AI, machine learning, and data platforms in a production environment.
• Relevant cloud, AI, data engineering, or platform certifications may be required based on business needs.
• Strong knowledge of AI platforms, AI tooling, and MLOps frameworks.
• Experience designing, building, and maintaining scalable data pipelines, data integration solutions, and AI workflows.
• Proficiency with cloud-based data and AI ecosystems (e.g., Azure, AWS, Google Cloud).
• Experience supporting model deployment, monitoring, performance optimization, and
• Proficiency in Python, SQL, and modern data engineering technologies.
• Experience working with structured, unstructured, and streaming data environments.
• Ability to collaborate with data scientists, AI engineers, software developers, and business stakeholders to operationalize AI solutions.
• Strong problem-solving, troubleshooting, and production support experience with a focus on operational excellence and continuous improvement.
Our Principal Data/AI Engineering jobs earn between $174,100.00 - $261,100.00 USD Annual. 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 hos
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