Data Engineer

Job Overview and Responsibilities

Exciting opportunity to be a part of a brand new best-in-class data science & analytics team to support the advertising and technology needs for the world’s best and largest airline. An entrepreneurial and meticulous data engineer who builds underlying supporting data for measurement and reporting across United’s digital platforms.

• 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.

Qualifications

What’s needed to succeed (Minimum Qualifications):

• Bachelor’s degree in Computer Science, Engineering or a related field.
• 3-5 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 GCP.
• 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.
• Successful completion of interview required to meet job qualification.
• Reliable, punctual attendance is an essential function of the position.

What will help you propel from the pack (Preferred Qualifications):

• 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.