Design, build, and maintain data-driven solutions that connect systems, automate processes, and generate actionable insights.
Design, develop, and maintain integrations between internal and external platforms.
Build and consume REST and other API-based services.
Develop middleware, connectors, and automation workflows that enable seamless data exchange across systems.
Troubleshoot integration issues and optimize performance, reliability, and scalability.
Extract, transform, and load (ETL/ELT) data from multiple structured and unstructured data sources.
Design scalable data pipelines and data models to support reporting, analytics, and AI initiatives.
Work directly with raw, complex, and potentially incomplete datasets to create trusted data assets.
Ensure data quality, governance, security, and lineage standards are met.
Integrate AI services, LLMs, predictive models, and intelligent automation capabilities into business workflows.
Design and develop dashboards, reports, and visualizations that drive business decisions.
Translate complex datasets into intuitive and actionable insights.
Stay current with emerging trends in AI, machine learning, analytics, cloud technologies, and software development.

Strong software development experience using one or more modern programming languages: Python, Java, C#, JavaScript/TypeScript
Experience building and consuming APIs and web services.
Strong SQL skills and experience working with enterprise-scale datasets.
Experience developing data pipelines and automation workflows.
Understanding of cloud platforms and data ecosystems.
Experience creating analytics solutions and data visualizations.
Familiarity with AI/ML concepts and modern AI platforms.
Experience working directly with raw data sources.
Strong data modeling and transformation skills.
Proficiency in dashboard and reporting platforms such as: Power BI, Tableau, Looker, Similar BI tools.
Familiarity with: Machine Learning, Generative AI, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG) or other knowledge systems, AI APIs and model integration.
Ability to understand and map complex business processes across platforms.
Experience with workflow orchestration and automation solutions.

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

Principal Tech Business Management – AI Data Engineer

Key skills