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Delta Air Lines Logo

Data Engineer, Operations Digital and Decision Science

Delta Air Lines

Salary not specified
Sep 9, 2025
Atlanta, GA, US
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Delta's Ops Digital & Decision Science (ODDS) aims to develop and execute a unified digital tools strategy to support operational excellence. The goal is to deliver innovative, data-driven, and AI-powered solutions that enhance decision-making and maintain Delta’s reputation for industry-leading reliability.

Requirements

  • 2+ years of experience with SQL, ETL processes, data modeling, and proficiency in at least one programming language such as Python, C++, C-Sharp, Scala, or a similar language.
  • 2+ years of professional experience in information technology, specializing in software development.
  • 2+ years of experience in roles primarily focused on working with data, including positions such as data analyst, data scientist, data engineer, or similar.
  • Hands-on experience with AWS technologies, including RDS, DynamoDB, S3, AWS Glue, Lambda, Step Functions, SageMaker, Bedrock, CDK, and IAM roles and permissions.
  • Demonstrated expertise in consuming and integrating APIs to enable data exchange and enhance application functionality.
  • Familiarity with real-time data processing and streaming technologies (e.g., Apache Kafka, Kinesis).
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

Responsibilities

  • Design and implement data engineering solutions by leveraging emerging technologies to efficiently locate, extract, and transform data from diverse sources for reporting, analysis, and statistical modeling—driving continuous business improvement.
  • Execute unit tests and validate outcomes to ensure the accuracy and integrity of data and applications through comprehensive data validation, in-depth analysis, and precise coding practices.
  • Apply Agile methodologies to effectively manage projects, utilizing Generative AI tools to craft high-quality user stories and features that align with business objectives and enhance team productivity.
  • Collaborate cross-functionally with engineers, product managers, and data scientists to assess data requirements and communicate key insights through meaningful, visually compelling representations.
  • Promote a safety-conscious work environment that prioritizes employee well-being and operational safety.

Other

  • Consistently prioritizes safety and security of self, others, and personal data.
  • Embraces diverse people, thinking, and styles.
  • Possesses a high school diploma, GED, or high school equivalency.
  • Is at least 18 years of age and has authorization to work in the United States.
  • Excellent written, verbal, and interpersonal communication skills.