Department:
TechnologyOur 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:
About Us
At Southwest Airlines, we believe that flying should feel like freedom. For over 50 years, we've been connecting people to what matters most with low fares, legendary hospitality, and a heart for service. Our culture is built on the principles of fun, friendliness, and family, making us one of the most admired workplaces in the world.
If you're passionate about making a difference, love working in a fast-paced environment, and want to help millions of travelers reach their destinations with a smile, Southwest Airlines is the place for you. Here, your career can truly take flight.
Job Summary
Work with limited supervision to support data engineering and data analytics solutions. Provide design guidance and implementation for end-to-end analytic solutions. Coordinate with SWA focused groups to create unique data infrastructure, run tests on their designs to isolate errors and update systems to accommodate changes in company needs
As a Data Engineer - Data QA & Workflow Integration Testing, you’ll sit at the intersection of creative assets and business outcomes, turning content taxonomy, DAM metadata, and workflow velocity into actionable marketing data and quality insights.
You’ll work across enterprise-scale data ecosystems and MarTech schemas, using streaming asset event data and automated quality frameworks to improve Content Supply Chain measurement and reliability.
The role has direct impact on how marketing leadership measures Content Supply Chain efficiency, ROI, asset utilization, and content-driven outcomes across enterprise touchpoints.
Responsibilities
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
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
Build data pipelines that validate digital-asset metadata schemas, content taxonomy, asset performance, and workflow data.
Use SQL and Python to develop automated validation scripts for metadata tagging and XDM/schema mappings across DAM, AEM, and enterprise data warehouses.
Build and test ETL pipelines that aggregate asset-utilization, digital-rights-management, and campaign-enrichment data from batch and streaming sources.
Implement data-quality frameworks that detect metadata drift, missing campaign tags, schema errors, and duplicate asset records.
Audit asset-tracking models so content velocity, localization variants, and asset-attribution metrics reconcile across Workfront, publishing platforms, and reporting dashboards.
Support data-quality, governance, and monitoring practices across Content Supply Chain workflows.
Partner with MarTech, DAM, analytics, and platform teams to resolve data and workflow integration issues.
Translate data quality findings into actionable improvements for downstream analytics and marketing reporting.
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 new information for both current and future problem-solving and decision-making
Skilled in identifying complex problems and reviewing related information to develop and evaluate options and implement solutions
Ability to recognize when an issue has occurred or is likely to occur, without needing to diagnose or resolve the problem.
Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events)
Ability to switch efficiently between multiple tasks or information sources, such as spoken instructions, system alerts, or data inputs.
Ability to organize data or actions in a defined sequence or structure based on specified rules or patterns (e.g., numerical, textual, visual, or mathematical sequences).
Ability to recognize defined patterns—such as shapes, words, or signals—even when they are embedded within distracting or complex information.
Advanced SQL and Python skills for data validation, scripting, ETL, and schema quality checks.
Strong understanding of digital-asset metadata schemas, content taxonomy, DAM data, and workflow data.
Strong data-quality framework design capability, including drift, completeness, duplicate detection, and schema validation.
Experience with batch and streaming data pipelines and enterprise data warehouses.
Ability to audit content and asset-tracking models and reconcile operational metrics.
Strong analytical and problem-solving skills within MarTech and Content Supply Chain environments.
Education
Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training
Experience
Required: Intermediate level experience, fully functioning broad knowledge in:
Cloud infrastructure, DataLake
ETL experience ensuring source to target data integrity
Various filetypes (Delimited Text, Fixed Width, XML, JSON, Parque).
ServiceBus, setting up ingress and egress within a subscription, or relevant AWS Cloud services administrative experience.
Unit Testing, Code Quality tools, CI/CD Technologies, Security and Container Technologies
Agile development experience and Agile ceremonies and practices
2-5 years of relevant work-related experience
Preferred:
Familiarity with Databricks.
Working knowledge of Customer Data Platforms (CDPs).
AWS monitoring experience.
CI/CD security and compliance exposure.
Python/SQL scripting depth.
AEM exposure is a nice to have; MarTech domain knowledge is required.
Other Qualifications
Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information
Ability to work extended hours as needed
Ability to work onsite approximately 3 days per week and as required by the business.
Why This Role
Turn Content Supply Chain data into reliable marketing and business insights.
Improve asset utilization, content-quality measurement, and data integrity across enterprise touchpoints.
Build data-quality foundations that help leadership measure efficiency, ROI, and content-driven outcomes.
Southwest Airlines is an Equal Opportunity Employer.
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Skills Required
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent formal training
- 2-5 years of relevant work-related experience
- Intermediate-level experience with cloud infrastructure and data lakes
- ETL experience ensuring source-to-target data integrity
- Experience with delimited text, fixed-width, XML, JSON, and Parquet file types
- Service Bus experience, including ingress and egress setup within a subscription, or relevant AWS Cloud administration experience
- Experience with unit testing, code quality tools, CI/CD technologies, security, and container technologies
- Agile development experience, including Agile ceremonies and practices
- Advanced SQL and Python skills for data validation, scripting, ETL, and schema quality checks
- Understanding of digital-asset metadata schemas, content taxonomy, DAM data, and workflow data
- Experience designing data-quality frameworks for drift, completeness, duplicate detection, and schema validation
- Experience with batch and streaming data pipelines and enterprise data warehouses
- Ability to work onsite approximately three days per week and as required by the business
- Familiarity with Databricks
- Working knowledge of Customer Data Platforms
- AWS monitoring experience
- CI/CD security and compliance exposure
- Additional depth in Python and SQL scripting
- AEM exposure
Southwest Airlines Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Southwest Airlines and has not been reviewed or approved by Southwest Airlines.
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Pay Growth & Progression — Pay progression is described as materially improving after major 2024 union agreements, especially for pilots and flight attendants. Compensation satisfaction is framed as stronger over time as step scales and seniority accumulate.
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Retirement Support — Retirement support stands out through a dollar-for-dollar 401(k) match and the presence of profit-sharing contributions that can add to retirement savings. Stock purchase access is also positioned as an additional ownership-oriented component of total rewards.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle value is elevated by extensive space-available travel privileges and broad travel-related discounts that can materially offset personal travel costs. Recognition mechanisms like points-based rewards are also positioned as an added lifestyle-oriented perk.
Southwest Airlines Insights
What We Do
At Southwest Airlines we connect People to what’s important in their lives—that also means connecting our Employees to what’s important in their lives! Our Employees value the opportunity to work hard, be creative, and have fun on the job. Southwest Airlines recognizes, respects, and values differences. By fostering a culture that embraces and utilizes our diversity, we create competitive advantages in teamwork and innovation that contribute to our overall success.
