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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Associate Engineer/ Engineer, IT Data (Fort Worth, TX, US) - **Company:** American Airlines Inc - **Location:** Fort Worth, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Unix, Cloud Computing, Cloud Engineering, Cloud Storage, Information Systems, Computer Engineering, Continuous Integration, Data Governance, Data Migration, Data Warehousing, DevOps, Github, IBM Cognos Business Intelligence, Python (Programming Language), Machine Learning, Microsoft SQL Server, Performance Tuning, Power BI, Cloud Services, Standard Sql, Azure Data Lake, Tableau (Software), Teradata SQL, Enterprise Software Applications, Data Storage Technologies, Data Ingestion, Azure Data Factory, Snowflake, Grafana, Apache Spark, Data Lakes, Information Technology, Cassandra, Data Analytics, Data Management, Terraform, Stream Analytics, Data Pipelines, Serverless Computing, Powerapps, Service Stack, Jenkins, Alteryx, Databricks - **Published:** October 30, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-associate-engineer-engineer-it-data-fort-worth-tx-us-fort-worth-tx--a1556118-7a7a-4159-a5cd-8132c4292cb6 ## About the Role * Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training * 1+ years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions * 1+ years data analytics experience using SQL * 1+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI, * 2+ years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions * 2+ years data analytics experience using SQL * 2+ years full-stack development experience, preferably in Azure * 1+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI * 1+ years of Teradata Vantage development and administration * Airline Industry Experience Skills, Licenses, and Certifications * Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers * Expertise in providing practical direction within the Azure Native cloud services * Azure Development Track Certification (preferred) * Spark Certification (preferred) * Combination of Development, Administration & Support experience in at least two(few) areas of the following tools/platforms required: * Scriptin Python, Spark, Unix, SQL * Data Platforms: Teradata, Cassandra, SQL Server, ADLS, Snowflake * Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions * CI/CD: GitHub, Jenkins, Azure DevOps, Terraform * BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana * Data Governance and Privacy: Alation, Monte Carlo, Informatica ## Description As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. * 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 * Develop technical solutions 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 * Follow coding standards, best practices and privacy and security guidelines * Be part of multi-functional technical and domain skills team