Responsible for helping cultivate a data-driven culture by designing and delivering analytics solutions and making data analytics easier and more effective for American Airlines; Migrate existing applications from legacy infrastructure to the latest cloud technologies; Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions; Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools; Perform multiple aspects involved in the development lifecycle design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support; Provide technical leadership and collaborate within a team environment as well as work independently; Be a part of a DevOps team that completely owns and supports their product; Implement batch and streaming data pipelines using cloud technologies; Lead development of coding standards, best practices and privacy and security guidelines; Mentor others on technical and domain skills to create multi-functional teams.

Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F.
Job Location: Ft. Worth, TX
Bachelors degree in Computer Science, Management Information Systems, or related field plus 2 years of experience as Data Engineer, Assistant Systems Engineer, or any occupation in which the required experience was gained, and demonstrated experience in: Software solution development leveraging agile and DevOps methodologies; Operating within a product model to deliver end-to-end solutions; Designing, developing, and implementing robust applications and data engineering solutions on a large scale; Data analytics; Azure Data Factory including pipelines, activities, and data flow; Orchestrating and automating data movement and transformation operations, ensuring efficient and reliable data integration across diverse sources and targets; Programming and scripting languages including Python, Spark, Unix, and SQL for data processing, manipulation, and analysis; Azure Databricks for big data processing and analytics; Apache Spark for scalable data processing and machine learning tasks; Azure Blob Storage and Azure Data Lake; CI/CD tools including GitHub, Jenkins, or Azure DevOps; Ability to design and build data pipelines, implement data integration processes, and perform data transformations in a scalable and efficient manner; Azure Active Directory integration, encryption, and role-based access control (RBAC); Data governance, data security, and compliance frameworks in Azure to ensure data privacy and regulatory adherence.

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