How You'll Help Us Keep Climbing (Overview & Key Responsibilities)
This role sits on Delta's Product Operations & Analytics team within the ED&T organization and is focused on data product development, AI-powered analytics, and instrumentation. You will design, build, and maintain data pipelines, AI-assisted analytics tools, and instrumented interfaces that support customer experience measurement, contact center operations, and automation initiatives.
You will build well-documented, production-quality data products that operate within enterprise IT governance standards, with implementation work coordinated through IT infrastructure teams for enterprise hardening and deployment. Strong documentation and handoff practices are essential to this role.
You will partner closely with data engineers, analysts, and product managers to bring high-quality data products to life — from analytics pipelines and data integrations to instrumented dashboards and AI-assisted tooling. Proficiency in Python and a strong understanding of LLM integration are required, as this team is actively building AI-powered analytics products.
Key Responsibilities
Data Pipeline & Integration Development
- Develop data pipeline services and processing logic using Python (FastAPI or Flask as needed for lightweight API layers)
- Apply enterprise-approved authentication, authorization, and secure data handling patterns in accordance with IT governance standards
- Build and maintain integrations with internal systems including contact center platforms, data warehouses (Redshift, Teradata), and third-party vendors
- Own ETL workflows, AWS Glue jobs, and data transformation logic that feeds analytics and AI product layers
AI & LLM Integration
- Integrate with LLM APIs (Anthropic Claude via AWS Bedrock, OpenAI, or similar) to build AI-powered features
- Develop and maintain conversation analytics pipelines and transcript processing workflows
- Implement prompt engineering patterns, RAG architectures, and agent frameworks as needed
- Build tooling that supports AI product evaluation, monitoring, and iteration
AWS Data Infrastructure & Deployment Support
- Work within AWS environments (Lambda, S3, API Gateway, ECS) to deploy and support analytics services and data pipeline components
- Manage code repositories and pipeline workflows using GitLab CI or similar tooling, coordinating with IT for enterprise deployment approvals
- Package services using Docker for consistent, handoff-ready deployment to IT infrastructure teams
- Instrument data pipelines and AI services with monitoring, alerting, and logging to support analytics observability and performance measurement
Analytics Interfaces & Interaction Instrumentation
- Build analytics dashboards and instrumented reporting interfaces using React and HTML/CSS, including proper interaction tracking tag implementation
- Implement and maintain analytics tagging schemas in HTML/JavaScript to ensure interaction events flow correctly through downstream measurement systems (Adobe CJA, Quantum, or similar)
- Connect analytics interfaces to data APIs and real-time data feeds, ensuring measurement accuracy and data freshness for operational reporting
- Collaborate with analysts and product managers to translate requirements into polished UX
Collaboration & Standards
- Contribute to engineering standards, code reviews, and technical documentation
- Partner with data engineers and analysts to understand data needs and ensure application layers are well-connected to curated datasets
- Communicate progress and technical tradeoffs clearly to non-technical stakeholders
What You Need To Succeed (Minimum Qualifications)
- Embraces diverse people, thinking, and styles
- Consistently prioritizes safety and security of self and others
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
- 4–7 years of experience in analytics engineering, data product development, or related technical roles
- Experience working with SQL databases and AWS-based data platforms (Redshift and/or Teradata preferred)
- Hands-on experience working in AWS environments for data pipeline deployment and analytics services
- Proficiency with Git-based workflows (GitLab preferred)
- Proficiency in React and HTML/CSS for building analytics dashboards and instrumented data interfaces
- Proficiency in Python for data pipeline development and AI service integration (FastAPI or Flask experience a plus)
Behavioral Competencies
- Ability to produce high quality results, work in a collaborative environment by embracing diverse perspectives and with a solution-based approach.
- Adapt communication clearly and concisely based on team dynamics and expresses thoughts & ideas effectively.
- Ability to engage effectively with peers and stakeholders to build trust and reliable working relationships.
- Ability to understand business processes, implement innovative solutions, guide juniors on continuous improvement by constantly updating oneself on current technology & trends.
- Inquisitive to understand customer and business expectations while creating value addition on technical solutions.
What Will Give You a Competitive Edge (Preferred Qualifications)
- Experience integrating with LLM APIs (Anthropic Claude via AWS Bedrock, OpenAI, or similar)
- Familiarity with vector databases (Pinecone, pgvector) and RAG pipeline patterns
- Exposure to agent frameworks such as LangChain or LlamaIndex
- Experience building internal analytics dashboards or operational tooling
- Prior exposure to contact center platforms, IVR systems, or conversational AI products
- Experience with AWS Glue or similar managed ETL services
- Familiarity with containerization (Docker) for packaging and handing off data services to IT infrastructure teams
About The Company
What started as a humble, little aerial crop-dusting operation called Huff Daland Dusters in 1924 has now grown into the U.S. global airline leader in safety, innovation, reliability, and customer experience. Headquartered in Atlanta, Georgia, Delta Air Lines is known for its operational excellence and award-winning customer service.
Powered by our employees worldwide, Delta has led the airline industry in operational excellence for a decade while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good.
In 2026, Delta Air Lines continued to earn global recognition for its performance, culture and operational excellence. Delta was named to Glassdoor's 2026 Top 100 Best Places to Work list for the ninth time, standing as the only airline recognized. Delta also secured the 11th spot on Fortune's World's Most Admired Companies list, marking its 13th consecutive year earning this distinction. Delta was also recognized by Cirium as the top on-time airline in North America for the fifth consecutive year, underscoring its unwavering commitment to reliability and customer experience.
About The Delta Technology Hub (DTH), Bangalore
The DTH is one of Delta Air Lines investments in world-class business capabilities and technology aimed at transforming how Delta Air Lines operates and provides world-class travel experiences to its customers through innovation and cutting-edge methodologies. By continuously reimagining processes and driving technology-led transformation, the Delta Technology Hub plays a pivotal role in Scripting The Future Of Aviation. The organization is certified by the Great Place to Work Institute (India). The Delta Technology Hub was a finalist for the iVolunteer Awards 2024/2025 in the Leader in Employee Volunteering category. This nomination highlights our remarkable volunteering initiatives and the outstanding practices we implement to encourage and support our employee volunteering program.
For more information, please visit www.deltatechhub.com
Why join
- Technology is a key enabler of the differentiated services that Delta provides. At the DTH, you get the opportunity to work on projects with a significant impact on business outcomes and customer experience.
- Deepen your knowledge by taking part in multifaceted learning and development programs –exposure to extensive internal and partner repositories, institutional affiliations, and industry SIG (Special Interest Groups) partnerships.
- Immerse yourself in an employee-centric culture.
- Develop deep and broad business acumen on airline operations while retaining focus on cutting-edge technology driven solutions.
- Avail a full range of benefits that support you and your family: Medical Insurance, Transportation to and from the DTH office, Complementary Cafeteria Meals, Special Travel opportunities and Travel Privileges, Car Lease Program, Paid time off, Parental Benefits and National Pension Scheme.
