
Lead Data/AI Engineering
Dallas, TXFull-time$158–237K/yrSeen 3 days agoSeen in employer's feed 3 days ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
The Lead Data/AI Engineering role shapes enterprise use of data and AI to support smarter decisions, faster innovation, and scalable adoption. The lead builds production-grade Databricks applications, AI and machine-learning solutions, and data pipelines, integrating platforms including Snowflake and Azure. The role partners with business and technical stakeholders and supports governance, security, and responsible AI practices. It is full-time and onsite in Dallas, Texas.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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.
The Lead Data/AI Engineering role will help shape how data and AI are leveraged across the enterprise, enabling smarter decisions, faster innovation, and scalable AI adoption.
What you’ll do:
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Databricks Application Development: Design, build, deploy, and support production‑grade Databricks applications that connect enterprise data, AI capabilities, and business workflows, using HTML for user interfaces and SQL for data access and transformation.
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AI Engineering: Design, build, and operationalize AI and machine learning solutions that address business needs, ensuring reliability, performance, and responsible use in production environments.
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Data Engineering & Pipelines: Design, build, and support scalable ETL and data pipelines that ingest, clean, transform, and serve data for analytics, machine learning, and AI workloads.
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Cloud & Platform Enablement: Develop and integrate solutions across Snowflake, Azure, ADLS, Databricks, APIs, and other enterprise data platforms to deliver secure, scalable, and performant data and AI applications.
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AI Operations & Quality: ImplementMLOps practices, including monitoring, evaluation, and lifecycle management to ensure AI systems remain accurate, scalable, and reliable over time.
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Business Partnership: Collaborate with business partners and technical stakeholders to understand use cases, translate requirements into technical designs, and iteratively deliver high‑value data and AI solutions.
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Governance & Security: Ensure data integrity, security, and compliance across the data and AI lifecycle, supporting responsible AI practices and enterprise risk management standards.
What you’ll need:
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Databricks Application Development Experience: Hands‑on experience building, deploying, and supporting Databricks applications is required, including integrating data sources, developing user interfaces, and delivering applications for business users.
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Strong Engineering Foundation: Proficiency in Python, SQL, and HTML, with experience building production‑grade data applications and AI solutions. Strong SQL skills for querying, transforming, and integrating data are essential.
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Data Pipeline Expertise: Hands‑on experience designing and supporting ETL processes and large‑scale data pipelines for analytics and AI workloads.
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Snowflake & Azure Experience: Hands‑on experience developing and integrating solutions using Snowflake and Azure is required, including data storage, processing, and secure access, along with experience working with ADLS.
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Applied AI Experience: Practical experience supporting AI and machine learning solutions, including data preparation, integration, deployment, and operational considerations.
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Problem‑Solving Mindset: Strong analytical skills with the ability to troubleshoot complex data and AI pipeline issues end‑to‑end.
What you’ll bring:
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Lead‑Level Experience: Demonstrated experience as a Lead or advanced data engineer, AI engineer, or similar role delivering complex data and AI solutions.
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Enterprise Application Delivery: Experience delivering Databricks applications and AI‑enabled solutions in enterprise environments.
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Collaboration & Communication: Ability to work cross‑functionally and clearly communicate technical concepts to both technical and non‑technical stakeholders.
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Continuous Improvement: A passion for learning and staying current with emerging data, AI, and cloud technologies—and applying them thoughtfully in production environments.
Changing the speed of business comes with many rewards—starting with your impact.
Education/Experience: Bachelor’s degree (BS/BA) desired such as Computer Science or Scientific Computing. 5+ years of related experience. Certification is required in some areas.
Supervisor: No
Our Lead Data/AI Engineering jobs earn between $158,200.00 - $237,400.00 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:
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Medical/Dental/Vision coverage
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401(k) plan
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Tuition reimbursement program
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Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
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Paid Parental Leave
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Paid Caregiver Leave
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Additional sick leave beyond what state and local law require may be available but is unprotected
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Adoption Reimbursement
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Disability Benefits (short term and long term)
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Life and Accidental Death Insurance
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Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
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Employee Assistance Programs (EAP)
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Extensive employee wellness programs
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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
Salary Range:
$158,200.00 - $237,400.00
AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here (https://urldefense.com/v3/\_\_https:/www.eeoc.gov/poster\_\_;!!BhdT!gVgkRvpoFXvxCPguQlKOpna1E9V2xmnpQvxcjhTWaBpnwCl09S3N6PYnLgM6kQjmJXAYFLihSQ4W3Sw2boE9zgEA$) to learn more or request an application accommodation here (https://urldefense.com/v3/\_\_https:/www.att.jobs/accommodation/\_\_;!!BhdT!gVgkRvpoFXvxCPguQlKOpna1E9V2xmnpQvxcjhTWaBpnwCl09S3N6PYnLgM6kQjmJXAYFLihSQ4W3Sw2bszyLYN3$) .
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
How this job compares
Set against the 5,779 open Data Engineer jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$158–237K/yr
- Texas median$115–205K/yr284 salary ranges
- US median$124–208K/yr4,458 salary ranges
This range's midpoint, $198K, is 26% above the Texas median midpoint ($157K) — in the top quarter of Data Engineer salary ranges in Texas.
- Openings
- Olive Jobs lists 439 open Data Engineer jobs in Texas and 5,779 across the US. 9% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,017 postings).
- Education
- 2,220 of the 5,779 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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