Data Engineer

Position Summary: Atlas Air is seeking a Data Engineer to join our Data Platform and Engineering team. This is an early-career individual contributor role for an engineer who can deliver well-defined data solutions with guidance, build strong engineering fundamentals, and grow ownership over increasingly complex work.

As we continue to build our data environment on Databricks, you will help build and operate reliable data pipelines, transformations, and data models. You will work within established architecture and standards, partner with more experienced engineers, and author production-quality code that supports analytics, data science, AI/ML, and operational decision-making., Data Pipeline Development

• Build, test, deploy, and maintain batch and streaming data pipelines for structured and semi-structured data sources using established patterns and frameworks.
• Develop data transformations that convert source data into accurate, documented, and reusable datasets.
• Implement data models and data products based on defined business requirements and technical designs.
• Use Databricks, Spark, orchestration tools, and cloud services to complete scoped engineering work with support from senior team members.
• Participate in code reviews and incorporate feedback to improve code quality, maintainability, and performance.

Data Quality & Operations

• Create automated tests, validation checks, logging, and monitoring the pipelines and datasets you develop.
• Investigate data quality, reliability, and performance issues; resolve routine issues independently and escalate broader problems appropriately.
• Produce clear technical documentation, including data definitions, lineage, runbooks, and support notes.
• Participate in the team’s on-call and incident response practices, with appropriate guidance and escalation support.
• Follow established security, privacy, governance, and access control requirements.

Collaboration & Growth

• Work with Data Analytics, Data Science, Software Engineering, IT, Security, and business partners to clarify requirements and deliver fit-for-purpose solutions.
• Break defined requirements into engineering tasks, communicate progress and risks, and deliver work within agreed timelines.
• Contribute to team standards for source control, testing, CI/CD, documentation, and operational readiness.
• Learn the Atlas Air business domain and use that understanding to improve the usefulness and reliability of data products.
• Seek feedback, share knowledge, and progressively take ownership of larger components and less-defined problems.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related quantitative field; or equivalent practical experience.
• Minimum 1 year of professional experience in data engineering, software engineering, analytics engineering, or a closely related field.
• Working proficiency in SQL and at least one general-purpose programming language (e.g., Python, TypeScript, Rust, Java, C++, etc.).
• Experience building or supporting data pipelines, transformations, or data models in a professional, internship, academic, or substantial project setting.
• Familiarity with core data engineering concepts, including ETL/ELT, relational data modeling, data quality testing, and pipeline orchestration.
• Experience with Git-based development practices and an understanding of code review, automated testing, and deployment workflows.
• Ability to troubleshoot technical issues methodically, communicate clearly, and collaborate effectively with technical and non-technical partners., * Hands-on exposure to Databricks, Apache Spark, or another distributed data-processing platform.
• Experience with dbt or a similar transformation framework and an orchestration tool such as Airflow, Prefect, or Dagster.
• Familiarity with one major cloud platform and its data services: AWS, Azure, or GCP.
• Exposure to streaming or event-driven technologies such as Kafka, Kinesis, Spark Structured Streaming, or Flink.
• Familiarity with BI, data science, or machine learning workflows and the data products that support them.
• Experience in aviation, transportation, logistics, or another operationally complex industry.

At Atlas Air Worldwide, we’re not just an airline, we’re a global engine powering cargo, passenger, and leasing operations across more than 70 countries. As a leader in outsourced aviation logistics, we’re built on a foundation of safety, service excellence, integrity, innovation, teamwork, and responsibility. With over 30 years of history, a modern all-Boeing fleet, and nearly 5,000 teammates collaborating across operations, technical, and corporate functions, we’re driven by purpose., At Atlas Air Worldwide, we believe in the power of people, the promise of innovation, and the responsibility we hold to each other, to our customers, and to the planet. Join us and be part of a team that lifts more than cargo; we lift ambition.