Tech Lead Data Engineer - Enterprise Cloud Data Warehouse

Department:

Technology

Our Company Promise

We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer.

Job Description:

Job Summary

Southwest Airlines promises to provide Employees with equal opportunity for learning and personal growth. The Tech Lead Data Engineer is responsible for one or more project Teams of data engineers, overseeing all stages of design and development for complex, secure, and performant data solutions and models, including design, analysis, coding, testing, and integration of structured and unstructured data. This role will apply an Agile approach to data science and work closely with our Team of analysts, technical product owners, and data scientists to drive real business value. The Tech Lead Data Engineer is a detail-orientated thinker who looks forward to working with a high-performing Team in a dynamic environment.  

 

Additional details: 

• This role is offered as a remote workplace position, which may require travel for trainings, meetings, conferences, etc. Outside of those required visits, the majority of your working time may be spent in an approved remote location, away from our Corporate Campus. Please note, while this is a remote position, there is limited group of states or localities ineligible for Employees to regularly perform their work off-site. Those ineligible locations are: Alaska, California, Colorado, Delaware, Illinois, Iowa, Massachusetts, Maryland, Montana, New Jersey, New Hampshire New York, North Dakota, South Dakota, Oregon, Pennsylvania, Vermont, Washington, West Virginia, and Wyoming, and Puerto Rico. 

 

Southwest Airlines is an Equal Opportunity Employer. We continue to look for opportunities to reflect the communities we serve, and welcome applicants with diverse thoughts, backgrounds, and experiences.  

Responsibilities

• Lead and develop the big data platform
• Design, build, implement, document and automate ingestion (real time and batch), enrichment and analytics data pipelines using big data tools and technologies
• Assemble large, complex sets of data that meet non-functional and functional business requirements
• Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
• Implement Big Data Solutions as a hands-on Technical Lead
• Process & ingest high volumes of data & transactions with full Life Cycle Implementation(s) of Scalable Big Data & Data Lake solutions
• Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Work with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Work with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
• Generate or adapt equipment and technology to serve user needs
• May perform other job duties as directed by Employee's Leaders

Knowledge, Skills and Abilities

• Knowledge of the practical application of engineering science and technology, including applying principles, techniques, procedures, and equipment to the design and production of various goods and services
• Knowledge of design techniques, tools, and principles involved in production of precision technical plans, blueprints, drawings, and models
• Ability to use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems
• Ability to understand the implications of ne