United Airlines - Chicago, IL

posted 4 months ago

Full-time
Chicago, IL
Air Transportation

About the position

The Data Engineer position within United's Marketing and Loyalty team presents an exciting opportunity to join a newly established data science and analytics team that supports the advertising and technology needs of the world's largest airline. This role is designed for an entrepreneurial and meticulous data engineer who will be responsible for building the underlying data infrastructure necessary for measurement and reporting across United's digital platforms. The successful candidate will design and construct scalable and reliable data infrastructure and pipelines, including ingestion, integration, ETL processes, and real-time connectors, to support data-driven decision-making and reporting. In this role, the Data Engineer will build connections with relevant endpoints for data ingestion and collaborate closely with data scientists, analysts, and other stakeholders to understand their data needs and requirements. Ensuring data quality, performance, and security throughout the entire data lifecycle is paramount, and the Data Engineer will be tasked with developing high-quality, well-documented datasets. Continuous improvement of data infrastructure and processes to enhance efficiency, scalability, and reliability will also be a key responsibility. Staying current with emerging technologies and best practices in data engineering is essential to ensure that the team remains at the forefront of the industry. United Airlines values diverse experiences and perspectives, encouraging all individuals who meet the minimum qualifications to apply. While having the desired qualifications may strengthen a candidate's application, the company is open to applicants who may not meet every requirement but can bring unique contributions to the team.

Responsibilities

  • Design and build scalable and reliable data infrastructure and pipelines (ingestion, integration, ETL, real-time connectors) to support data for measurement and reporting.
  • Build connections with relevant endpoints for data ingestion.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data needs and requirements.
  • Ensure data quality, performance, and security across the entire data lifecycle; developing high-quality and well-documented data sets.
  • Continuously improve data infrastructure and processes to increase efficiency, scalability, and reliability.
  • Stay up to date with emerging technologies and best practices in data engineering.

Requirements

  • Bachelor's degree in Computer Science, Engineering or a related field.
  • 2-5 years hands-on industry experience in Data Engineering (or equivalent quantitative job title).
  • Deep technical knowledge of data engineering; highly skilled in SQL, relational databases, big data.
  • Skilled in development of data warehousing, data flow design and development, and ETL processes.
  • Proficient with Python or Scala, Azure Data Factory, Synapse.
  • Proficient with cloud-based data technologies such as AWS, Azure, and/or Google Cloud Platform.
  • Familiarity with data visualization tools (Power BI, Tableau).
  • Strong collaborator with cross-functional teams from tech, design, and business and experience leading teams in an agile setting.
  • Ability to communicate and explain data and its implications to various stakeholders.
  • Ability to evaluate different options proactively and to solve problems in an innovative way, developing new solutions or combining existing methods to create new approaches.
  • Must be legally authorized to work in the United States for any employer without sponsorship.

Nice-to-haves

  • Advanced Computer Engineering degree.
  • Experience with advertising technology (Ad Tech), particularly in designing solutions that enhance ad targeting, measurement, and optimization.
  • Familiarity or hands-on experience with generative AI and large language models, understanding their potential impact on machine learning and ad tech innovations.
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