Delta Air Lines
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Data Engineer, Engineering Analytics
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Delta Air Lines Overview
Delta Air Lines connects the world by flying 180 million customers to 300+ destinations every year. In the Engineering Analytics team, we build and deploy data science and machine learning models to support this complex operation. The team is seeking a data engineer to take on developing data pipelines, manage data ingestion and cleaning, and support data availability for application development. Responsibilities
Implement data engineering solutions, e.g., locate and extract data from a variety of sources for use in reporting, analysis, and statistical modeling to drive continuous improvement. Practice good software engineering techniques, e.g., Git, scrum, branching, code reviews, spikes. Execute the data engineering roadmap. Partner with Information Technology to optimize and enhance the database environment for optimal efficiency and best practices. Leverage emerging technologies and identify efficient and meaningful ways to disseminate data and analysis to satisfy the businesss needs. Interface with business unit leaders to develop and maintain internal customer relationships. Practice safety-conscious environment resulting in employee safety and well-being. Minimum Qualifications
Bachelor's degree in Computer Science, Information Systems, or equivalent combination of education and experience. 3+ years experience working as a data engineer. Proficiency in SQL (CTE, window functions, temporal data). Proficiency in Python and data-focused packages, e.g., Pandas, Numpy. Proficiency with software development tools such as Git, IDEs, Swagger, CI/CD. Experience building efficient, ETL/ELT processes using industry leading tools such as Informatica, Talend, Spark etc. Embraces diverse people, thinking and styles. Consistently makes safety and security, of self and others, the priority. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Preferred Qualifications
Working knowledge of data science/machine learning best practices and tools. Working knowledge of AWS cloud computing tools. Working knowledge of API consumption preferred. Familiarity with NoSQL databases and distributed databases. Strong written, oral communication, and interpersonal skills. Strong project management, organizational, and prioritization skills. Benefits
Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 56 hours of paid personal time within a 12-month period. 10 paid holidays per calendar year. Birthing parents are eligible for 12 weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2 weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and international space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and sustainability initiatives. Business Resource Groups to connect employees with common interests and promote inclusion. Recognition rewards and awards through the platform Unstoppable Together. Access to discounts and voluntary benefits through Deltaperks.
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Data Engineer, Engineering Analytics
role at
Delta Air Lines Overview
Delta Air Lines connects the world by flying 180 million customers to 300+ destinations every year. In the Engineering Analytics team, we build and deploy data science and machine learning models to support this complex operation. The team is seeking a data engineer to take on developing data pipelines, manage data ingestion and cleaning, and support data availability for application development. Responsibilities
Implement data engineering solutions, e.g., locate and extract data from a variety of sources for use in reporting, analysis, and statistical modeling to drive continuous improvement. Practice good software engineering techniques, e.g., Git, scrum, branching, code reviews, spikes. Execute the data engineering roadmap. Partner with Information Technology to optimize and enhance the database environment for optimal efficiency and best practices. Leverage emerging technologies and identify efficient and meaningful ways to disseminate data and analysis to satisfy the businesss needs. Interface with business unit leaders to develop and maintain internal customer relationships. Practice safety-conscious environment resulting in employee safety and well-being. Minimum Qualifications
Bachelor's degree in Computer Science, Information Systems, or equivalent combination of education and experience. 3+ years experience working as a data engineer. Proficiency in SQL (CTE, window functions, temporal data). Proficiency in Python and data-focused packages, e.g., Pandas, Numpy. Proficiency with software development tools such as Git, IDEs, Swagger, CI/CD. Experience building efficient, ETL/ELT processes using industry leading tools such as Informatica, Talend, Spark etc. Embraces diverse people, thinking and styles. Consistently makes safety and security, of self and others, the priority. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Preferred Qualifications
Working knowledge of data science/machine learning best practices and tools. Working knowledge of AWS cloud computing tools. Working knowledge of API consumption preferred. Familiarity with NoSQL databases and distributed databases. Strong written, oral communication, and interpersonal skills. Strong project management, organizational, and prioritization skills. Benefits
Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 56 hours of paid personal time within a 12-month period. 10 paid holidays per calendar year. Birthing parents are eligible for 12 weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2 weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and international space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and sustainability initiatives. Business Resource Groups to connect employees with common interests and promote inclusion. Recognition rewards and awards through the platform Unstoppable Together. Access to discounts and voluntary benefits through Deltaperks.
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