Job Title: Data Engineer - American Airlines Remote Opportunity
Job Description:
Join our American Airlines family and embark on a journey to explore new possibilities, grow your expertise, and become the best version of yourself. As a Data Engineer, you will play a crucial role in enabling data engineering solutions at American Airlines, working closely with cross-functional teams to design, implement, and support analytics solutions that drive business decisions.
Key Responsibilities:
Collaborate with source data application teams and product owners to design, implement, and support analytics 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 various aspects of the development lifecycle, including design, cloud engineering (Infrastructure, configuration, security, and administration), ingestion, deployment, data modeling, testing, CICD pipelines, performance tuning, and support.
Provide technical leadership and collaborate within a team environment, as well as work independently, to drive the development of coding standards, best practices, and security guidelines.
Mentor others on technical and domain skills to create multi-functional teams and implement batch and streaming data pipelines using cloud technologies.
Requirements:
Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training.
3+ years of software solution development experience using agile, DevOps, working in a product model that includes designing, developing, and deploying large-scale applications or data engineering solutions.
3+ years of data analysis experience using SQL and 2+ years of cloud development and data lake experience (preferably Microsoft Azure), including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI.
Proficiency in scripting languages (Python, Perl, Unix, SQL) and experience with data platforms (Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake), Azure Data Explorer, and networking skills are a plus.
What We Offer:
Competitive salary ($70,000 - $80,000 per year)
Travel benefits: access to 365 destinations on over 6,800 daily flights across our global network.
Health benefits: access to health, dental, prescription, and vision benefits from day one, as well as virtual doctor visits, flexible spending accounts, and more.
Wellness programs: tools, resources, and support to help you be your best self.
401(k) program: available upon hire, with employer contributions available after one year.
Additional benefits: Employee Assistance Program, pet insurance, discounts on hotels, cars, cruises, and more.
How to Apply:
To apply, please submit your application through our website, including your resume, cover letter, and any required documents. We look forward to hearing from you!
Apply Now
Apply Now
Apply Now
Join our American Airlines family and embark on a journey to explore new possibilities, grow your expertise, and become the best version of yourself. As a Data Engineer, you will play a crucial role in enabling data engineering solutions at American Airlines, working closely with cross-functional teams to design, implement, and support analytics solutions that drive business decisions.
Key Responsibilities:
Collaborate with source data application teams and product owners to design, implement, and support analytics 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 various aspects of the development lifecycle, including design, cloud engineering (Infrastructure, configuration, security, and administration), ingestion, deployment, data modeling, testing, CICD pipelines, performance tuning, and support.
Provide technical leadership and collaborate within a team environment, as well as work independently, to drive the development of coding standards, best practices, and security guidelines.
Mentor others on technical and domain skills to create multi-functional teams and implement batch and streaming data pipelines using cloud technologies.
Requirements:
Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training.
3+ years of software solution development experience using agile, DevOps, working in a product model that includes designing, developing, and deploying large-scale applications or data engineering solutions.
3+ years of data analysis experience using SQL and 2+ years of cloud development and data lake experience (preferably Microsoft Azure), including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI.
Proficiency in scripting languages (Python, Perl, Unix, SQL) and experience with data platforms (Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake), Azure Data Explorer, and networking skills are a plus.
What We Offer:
Competitive salary ($70,000 - $80,000 per year)
Travel benefits: access to 365 destinations on over 6,800 daily flights across our global network.
Health benefits: access to health, dental, prescription, and vision benefits from day one, as well as virtual doctor visits, flexible spending accounts, and more.
Wellness programs: tools, resources, and support to help you be your best self.
401(k) program: available upon hire, with employer contributions available after one year.
Additional benefits: Employee Assistance Program, pet insurance, discounts on hotels, cars, cruises, and more.
How to Apply:
To apply, please submit your application through our website, including your resume, cover letter, and any required documents. We look forward to hearing from you!
Apply Now
Apply Now
Apply Now