Atlas Air
Data Engineer
Erlanger, Kentucky · Internship
Sponsorship not specified$74k-$100kDetected 6 days ago
TypeScriptPythonJavaRustC++Code ReviewGitSQLDatabricksAWSAzureCloud PlatformsCI/CDKafkaMachine LearningSparkAirflowdbtData AnalysisData EngineeringData ScienceIncident ResponseLogisticsTest Automation
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odds of building a lasting career here
47Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- Atlas Air is seeking a Data Engineer to join our Data Platform and Engineering team.
- Participate in code reviews and incorporate feedback to improve code quality, maintainability, and performance.
- Investigate data quality, reliability, and performance issues; resolve routine issues independently and escalate broader problems appropriately.
Responsibilities
- If you're ready to grow, innovate, and help us deliver excellence every single day, you belong here.
- 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.
- 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.
- Create automated tests, validation checks, logging, and monitoring the pipelines and datasets you develop.
- 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.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field
- 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.).
- 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.
- 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.
- Experience in aviation, transportation, logistics, or another operationally complex industry.
Compensation
- $74k-$100k
Company info
- 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.
- 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.
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This listing is sourced directly from Atlas Air's careers page and normalized into a canonical job model.