Senior Data Engineer, Engineering Analytics

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.

An appropriate candidate will have technical knowledge of BI systems, big data architecture and technology landscape, API consumption, ETL/ELT orchestration, and business intelligence tools. The candidate should have excellent organizational and communication skills and feel comfortable in a fast-paced environment.

Primary Functions:

• 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 business' needs
• Interface with business unit leaders to develop and maintain internal customer relationships
• Practice safety-conscious environment resulting in employee safety and well-being

Benefits and Perks to Help You Keep Climbing

Our culture is rooted in a shared dedication to living our values - Care, Integrity, Resilience and Servant Leadership - every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way:

• Competitive salary, industry-leading pro?t 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 bene?ts including medical, dental, vision, short/long term disability and life insurance bene?ts.
• 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 innovative goals created to focus on sustainability and reducing our carbon footprint.
• Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies.
• Recognition rewards and awards through the platform Unstoppable Together.
• Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

What you need to succeed (minimum qualifications)

• Bachelor's degree in Computer Science, Information Systems, or equivalent combination of education and experience
• 5+ 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, Databricks/Spark, etc.
• Proficiency with APIs
• Proficiency with software development tools such as Git, IDEs, CI/CD
• Experience with data warehousing/data modeling concepts
• Experience building efficient, ETL/ELT processes using industry leading tools such as SSIS,
• Informatica, Talend, etc.
• Experience with data pipeline orchestration tools, e.g. DBT, Airflow, etc.
• Working knowledge of cloud computing, e.g. AWS, Azure, Google Cloud Platform
• Embraces diverse people, thinking and styles
• Consistently makes safety and security, of self and others, the priority
• Proven experience leading a project, from requirements gathering to deployment.
• Consistently prioritizes safety and security of self, others, and personal data.
• Embraces diverse people, thinking, and styles.
• 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.

What will give you a competitive edge (preferred qualifications)

• Working knowledge of data science/machine learning best practices and tools
• Familiarity with nosql databases and distributed databases, e.g. Snowflake, BigQuery, Redshift, etc.
• Experience with Palantir
• Strong written, oral communication, and interpersonal skills
• Strong project management, organizational, and prioritizations skills
• Must be performing satisfactorily in present position