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About the Role
Atlas Air is seeking an early-career Data Engineer to join their Data Platform and Engineering team. This role involves building and operating reliable data pipelines, transformations, and data models within the Databricks environment, supporting analytics, data science, AI/ML, and operational decision-making.
Responsibilities
- Build, test, deploy, and maintain batch and streaming data pipelines for structured and semi-structured data sources.
- Develop data transformations to 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 engineering work.
- Participate in code reviews to improve code quality, maintainability, and performance.
- Create automated tests, validation checks, logging, and monitoring for pipelines and datasets.
- Investigate and resolve data quality, reliability, and performance issues.
- Produce technical documentation, including data definitions, lineage, runbooks, and support notes.
- Participate in team's on-call and incident response practices.
- Follow established security, privacy, governance, and access control requirements.
- Work with various teams to clarify requirements and deliver solutions.
- Break down requirements into engineering tasks, communicate progress and risks, and deliver work within timelines.
- Contribute to team standards for source control, testing, CI/CD, documentation, and operational readiness.
- Learn the Atlas Air business domain to improve data product usefulness and reliability.
- Seek feedback, share knowledge, and progressively take ownership of larger components and less-defined problems.
Requirements
- 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++).
- Experience building or supporting data pipelines, transformations, or data models.
- 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.
- Applicants must be legally authorized to work in the United States.
- This position is not eligible for employment visa sponsorship or employer immigration support.
Skills
- Databricks
- Spark
- SQL
- Python
- TypeScript
- Rust
- Java
- C++
- Git
- ETL/ELT
- Relational data modeling
- Data quality testing
- Pipeline orchestration
- Code review
- Automated testing
- Deployment workflows
- dbt
- Airflow
- Prefect
- Dagster
- AWS
- Azure
- GCP
- Kafka
- Kinesis
- Spark Structured Streaming
- Flink
- BI
- Data science
- Machine learning
- Aviation
- Transportation
- Logistics
Location
- United States
Work Type
- Full-time
Experience Level
- Early-career
- Minimum 1 year of professional experience
Education Level
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field; or equivalent practical experience.
Salary/Compensations
- $73,500—$99,500 USD
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Employee assistance program
- Generous paid time off
- 401K contributions
About the Company
- Atlas Air Worldwide is a global engine powering cargo, passenger, and leasing operations across more than 70 countries.
- They are a leader in outsourced aviation logistics, 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, they are driven by purpose.
- They believe in the power of people, the promise of innovation, and the responsibility they hold to each other, to our customers, and to the planet.
Equal Opportunity
- The Company is an Equal Opportunity Employer.
- It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.