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À propos
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 futureyou'll build it. This position requires office presence of a minimum of 5 days per week and is only located in Dallas, Texas. No relocation is offered. Key Roles and Responsibilities
Data Architecture & Pipeline Development:
Design, build, and maintain robust data architectures and pipelines using modern ETL/ELT tools and cloud platforms. Data Integration & Transformation:
Develop automated processes to extract, transform, and load data from diverse operational sources into centralized, analytics-ready datasets. Requirements Analysis:
Collaborate with business stakeholders and analysts to translate operational needs into effective, scalable data solutions. Technical Leadership & Collaboration:
Guide data engineering best practices and work closely with cross-functional teams including analysts, developers, and business users. Performance, Reliability, & Troubleshooting:
Monitor and optimize pipeline performance, resolve data quality and reliability issues, and ensure high availability of data assets. Documentation, Security, & Compliance:
Maintain thorough documentation of data flows, ensure data security and regulatory compliance, and drive continuous improvement in data operations. Deep experience designing, building, and managing complex data pipelines and integration solutions in cloud environments. Strong business acumen, ownership mindset, and ability to work independently to deliver high-impact results for analytics and decision-making. Serve as a technical expert and strategic contributor, leveraging broad knowledge of data engineering trends, cloud technologies, and analytics platforms to solve complex problems and drive organizational value. Lead high-impact data projects, consult with senior leadership, and influence executive decisions. Bachelor's degree (BS/BA) in Computer Science preferred. 7+ years of experience in data engineering, data architecture, or related roles. Experience with cloud data platforms (Azure, AWS, Snowflake), SQL, Python, and ETL tools strongly desired. Relevant certifications a plus. Our Principal Data Engineer earns between $158,200-$237,400 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 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 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.
Compétences linguistiques
- English
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