
Data Engineer, IT Analytics
At American Airlines, we pride ourselves on being at the forefront of technology in the aviation industry. As a Data Engineer on our IT Analytics team, you will play a crucial role in shaping and optimizing our data infrastructure to drive strategic business decisions. We are seeking a highly skilled and motivated individual who is passionate about data and has a strong background in IT analytics. If you are looking for an exciting opportunity to utilize your technical expertise and make a meaningful impact, we encourage you to apply for this role.
- Develop and maintain data infrastructure to support the organization’s data needs.
- Collaborate with cross-functional teams to understand business requirements and design solutions that meet those needs.
- Identify and implement improvements to data systems and processes to increase efficiency and accuracy.
- Design, build, and maintain data pipelines and databases.
- Ensure data integrity and security by implementing best practices and data governance policies.
- Develop and maintain data models and data dictionaries for various business functions.
- Work with large, complex datasets to extract meaningful insights and provide actionable recommendations.
- Utilize data visualization tools to present data in a user-friendly and understandable format.
- Stay up-to-date with industry trends and best practices in data engineering and IT analytics.
- Collaborate with other data engineers and analysts to develop and maintain a cohesive data ecosystem.
- Troubleshoot and resolve data-related issues in a timely manner.
- Participate in code reviews and ensure adherence to coding standards.
- Act as a subject matter expert and provide technical guidance to other team members.
- Continuously monitor and optimize data performance to meet business needs.
- Communicate complex technical concepts to non-technical stakeholders.
- Maintain documentation of data processes, systems, and workflows.
- Participate in regular team meetings and provide updates on project progress.
- Identify and recommend new tools and technologies to enhance the data infrastructure.
- Collaborate with data governance teams to ensure compliance with data privacy regulations.
- Take ownership of data projects from conception to implementation and provide regular updates to stakeholders.
Bachelor's Degree In Computer Science, Information Systems, Or A Related Field.
Strong Knowledge Of Data Warehousing And Etl Processes, With Hands-On Experience In Data Modeling And Database Design.
Proficiency In Programming Languages Such As Sql, Python, And Java, As Well As Experience With Data Visualization Tools Like Tableau Or Power Bi.
Familiarity With Cloud Computing Platforms, Such As Aws Or Azure, And Experience Working With Big Data Technologies Like Hadoop Or Spark.
Excellent Problem-Solving And Analytical Skills, With The Ability To Identify And Resolve Complex Data Challenges In A Fast-Paced, Dynamic Environment.
Database Management
Data Modeling
Machine Learning
Data warehousing
Data Visualization
Cloud Computing
Data Mining
Data integration
ETL Development
Big Data Analytics
SQL querying
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
collaboration
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer, IT Analytics in Dallas, TX, USA is $80,000-$140,000 per year. However, this can vary depending on factors such as experience, education, and the specific company or industry. It is important to research and compare salaries for this role at different companies in the Dallas area to get a more accurate understanding of the salary range.
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American Airlines Group, Inc. is a holding company whose business activity is the operation of a network carrier through its principal wholly-owned mainline operating subsidiary, American. The company provides air transportation for passengers and cargo. It cargo division provides a range of freight and mail services, with facilities and interline connections available across the globe.

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