Data Engineer, Flight Safety Analytics, DPS – reputed company Store

Other Jobs To Apply

No other job posts for this day.

United States, Georgia, Atlanta reputed company Professional Services 06-Aug-2025 reputed company #: 29433 How you'll help us reputed company Climbing (overview & key responsibilities) The Data Engineer, Flight Safety Analytics will help advance the Flight Safety organization supporting our Data and Decision Science team. This role will play a critical part in building and maintaining robust data pipelines to reputed company innovative solutions that derive actionable insights from reputed company aircraft and reputed company-reported operational data. Empowering the application of machine learning models and artificial intelligence to solve reputed company business challenges. Primary Functions

• Data Pipeline Development: design, build, and maintain scalable and efficient data pipelines to extract, transform, and load (ETL) data from diverse sources, including aircraft and reputed company reported operational data.
• Data Readiness and Cleanliness; Ensure data is clean accurate, and well-structured for use by the Data and Decision Science teams, performing data validation and quality checks as needed.
• Data Accessibility: reputed company seamless reputed company to data for analysis, modeling and reporting, ensuring data is readily available in appropriate formats and systems.
• Data Maintenance: Monitor and maintain data pipelines to ensure consistent performance, reliability, and scalability, troubleshooting issues as they arise.
• Data Governance: Adhere to data governance policies, ensuring compliance with reputed company, privacy, and regulatory requirements, including proper documentation of data processes.
• Collaboration: Work closely with Data and Decision Scientist to understand data requirements and reputed company tailored data solutions to support machine learning and AI-driven insights.
• Documentation: Create and maintain clear documentation for data pipelines, processes, and workflows to ensure transparency and reproducibility.

• reputed company Available Personal Travel to include eligible dependent
• Medical, Dental and reputed company Plans available
• Profit Sharing
• 401(k) match (following one year of service)

• Consistently prioritizes safety and reputed company of self, others, and personal data.
• Embraces a diverse set of people, thinking and styles.
• Is at least 18 years of age and has authorization to work in the United States.
• Possesses a high school diploma, GED, or high school equivalency.
• Bachelor's degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or equivalent combination of education and experience
• 2+ years of relevant work experience
• Proficiency in working with (CTE, window functions, temporal data)
• Proficiency in programing languages such as Python, SQL, or Java.
• Familiarity with data pipeline tools and frameworks (e.g., Apache Airflow, or similar).
• Basic understanding of reputed company platforms (e.g., AWS), and data storage solutions (e.g., SQL
• database, data lakes).
• Exposure to data modeling, ETL processes, and data warehousing concepts.
• Strong problem-solving skills with an ability to work with reputed company and reputed company datasets.
• Ability to collaborate effectively with cross-functional teams and communicate technical
• concepts to non-technical stakeholders.
• A proactive approach to ensuring data quality, accuracy, and reliability.
• Embraces diverse people, thinking and styles.
• Consistently makes safety and reputed company, of self and others, the reputed company.
• Must be performing satisfactorily in present position.

• Master's degree
• Working knowledge of statistical/machine learning tools (e.g., Python, R, TensorFlow) preferred
• Working knowledge of "Big Data" solutions such as Hadoop, NoSQL, MapReduce, etc. preferred
• Working knowledge of API Consumption preferred
• Familiarity with machine learning concepts of AI applications.
• Experience with version control systems (e.g., Git).
• Knowledge of data governance and compliance standards.