Data Engineer

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what’s next. Let’s define tomorrow, together.

Description

Uniteds Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.

Our Values: At United Airlines, we believe that inclusion propels innovation and is the foundation of all that we do. Our Shared Purpose: "Connecting people. Uniting the world." drives us to be the best airline for our employees, customers, and everyone we serve, and we can only do that with a truly diverse and inclusive workforce. Our team spans the globe and is made up of diverse individuals all working together with cutting-edge technology to build the best airline in the history of aviation.

With multiple employee-run "Business Resource Group" communities and world-class benefits like health insurance, parental leave, and space available travel, United is truly a one-of-a-kind place to work that will make you feel welcome and accepted. Come join our team and help us make a positive impact on the world.

Job Overview And Responsibilities

Our Digital Operations Center is constantly working to enhance the experience of our customers across our Digital Channels, based on data-driven analytics and timely and accurate reports. We are seeking a Senior Developer with deep expertise in building and maintaining cloud-native data platforms and pipelines using AWS and modern development practices. The ideal candidate is a hands-on engineer with experience in serverless compute, streaming data architectures, and DevOps automation, who thrives in a collaborative, fast-paced environment. This role will be instrumental in designing high-performance, scalable systems leveraging AWS services and the Well-Architected Framework.

• Design, build, and maintain scalable and efficient ETL/ELT pipelines using tools such as AWS Fargate, S3, Kinesis, and Flink or custom scripts.
• Integrate data from various sources including APIs, cloud services, databases, and flat files into a centralized data warehouse (e.g., Postgres, BigQuery, Redshift).
• Design and optimize SQL database schemas and queries, primarily on Amazon Aurora (MySQL/PostgreSQL), ensuring high performance and data integrity across workloads.
• Monitor, troubleshoot, and resolve data pipeline and infrastructure issues.
• Build CI/CD pipelines using GitHub Actions, driving automation in deployment and testing.
• Apply best practices for monitoring, alerting, cost optimization, and security — in line with AWS’s Well-Architected Framework.
• Collaborate with cross-functional teams including product, analytics, and DevOps to design end-to-end solutions.
  
  

• Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering, Management Information Systems or related field.
• 2–5 years of experience in data engineering or a similar role.
• Strong SQL skills and experience working with relational databases (e.g., PostgreSQL, MySQL).
• Experience with cloud platforms like AWS, GCP, or Azure (e.g., Fargate, S3, Lambda, Aurora, Redis)
• Familiarity with data modeling and building data warehouses/lakes.
• Experience designing real-time or near-real-time data streaming pipelines.
• Proficiency in programming languages like Python or Scala.
• CI/CD knowledge, particularly using GitHub Actions or similar tools.
• Solid understanding of performance tuning, cost-effective cloud resource management, and data architecture principles.
• Understanding of data governance, quality, and security best practices.
• Must be legally authorized to work in India for any employer without sponsorship
  
  

• MBA preferred
• Data Engineer :- AWS certifications (e.g., Developer Associate, Solutions Architect).
• Knowledge of modern data stack tools like dbt, Fivetran, Snowflake, or Looker.
• Exposure to containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with data lake architectures or hybrid transactional/analytical processing systems.
• Familiarity with Agile development practices and cloud-native observability tools.
• Experience working with Quantum Metric and/or Dynatrace a plus