AT&T · 23 hours ago
Lead Software Engineer – Data Development for AI Applications
DFW Metroplex
Full-time
Onsite
Lead/Staff
$144K/yr - $216K/yr
10+ years expAT&T is connecting the world through the latest tech and top-of-the-line communications. They are seeking a Lead Software Engineer to develop data solutions for AI applications, focusing on building scalable data pipelines and collaborating with cross-functional teams to enhance customer interaction through advanced data insights.
CollaborationCommunications InfrastructureMobileService IndustryTelecommunicationsWireless
Hiring Manager
Eric Hoagberg, Lead Talent Acquisition Manager, MBA
Responsibilities
Design, build, and maintain robust, scalable data pipelines
Perform data research to identify data sources within the ecosystem and apply enrichments to formulate meaningful data points
Implement, optimize and maintain scheduled jobs, batch processors and real-time data ingestion pipelines
Implement event-driven architecture to react to events
Optimize and fine-tune database performance to ensure it can support big data with ideal response times
Design data schemas that can evolve over time and align with strategic goals
Design, Implement and optimize microservices to expose the data to consuming applications
Design caching and data management practices to improve the performance
Ensure the data architecture supports the business requirements
Explore new opportunities for data acquisition and enhance data collection procedures
Explore and identify appropriate segmentation strategies to support RAG implementations
Demonstrate a commitment to learning and adopting emerging technologies, with a particular focus on agentic AI development
Qualification
Required
Over 10 years of experience as a Data Engineer or Software Engineer, with expertise in software engineering, data engineering, data warehousing, data research, and requirements gathering
Demonstrated expertise in programming languages such as Python and PySpark for executing data engineering tasks
Exceptional analytical and problem-solving skills, particularly in handling unstructured raw data and synthesizing meaningful patterns
Hands-on experience in developing complete ETL pipelines, from source to destination, including data cleansing, transformation and enrichment
Proficiency in PySpark for engineering data pipelines using Databricks on AWS or Azure
Technical prowess in data modeling, data mining, data architectures, and data warehousing
Proficiency in event driven architectures in cloud preferably in Azure (AWS/GCP is are also good)
Proficiency in real-time data processing using Kafka
Expertise in a range of database and data warehouse technologies such as SQL (MySQL, PostgreSQL), NoSQL databases (MongoDB, Azure Cosmos DB, Bigtable), and data warehouse/data lake technologies (Snowflake, BigQuery)
Proficiency in OAUTH providers, Auditing and Logging tools in cloud for monitoring and troubleshooting
Expertise in microservices to expose data to consuming applications
Ability to manage and delegate work across delivery teams to meet priorities
Skilled in client engagements, deciphering client business needs, and providing data solution recommendations
Excellent communication skills, with experience in designing, developing, and delivering presentations
Preferred
Familiarity with Node.js, TypeScript, and GraphQL is desired; willingness to learn these languages is strongly preferred
Familiarity with Linux and Docker
Familiarity with Agentic AI application development using frameworks such as ADK with Python
Experience with Power BI and other visualization tools such as Kibana, Grafana, or Tableau
Knowledge of cloud services (AWS, Google Cloud, or Azure) and understanding of distributed data processing frameworks
Preferred Bachelor of Science in Computer Science, Statistics, Math or Scientific Computing; Developer nanodegree, or certification with equivalent experience value add
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.
Company
AT&T
AT&T is a telecommunications company that provides wireless communications, internet and digital television services.
10001+ employees
H1B Sponsorship
AT&T has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (575)
2024 (586)
2023 (282)
2022 (450)
2021 (271)
2020 (162)
Funding
Current Stage
Public CompanyTotal Funding
$5.04BKey Investors
National Telecommunications and Information Administration
2025-09-19Post Ipo Debt· $5B
2024-02-12Grant· $42.3M
2023-01-19Grant· $2.2M
Leadership Team
Jeremy Legg
CTO
Pascal Desroches
Senior Executive Vice President and Chief Financial Officer
Recent News
2026-01-07
2026-01-07
Company data provided by crunchbase