{"id":2719082,"url":"https://alion.io/job/atlas-air-worldwide-data-engineer","title":"Data Engineer","company":{"id":2220433,"name":"Atlas Air Worldwide","domain":"atlasairworldwide.com","url":"https://alion.io/company/atlasairworldwide","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":91,"open_postings":6,"ghost_share":0,"stale_share":0.167,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Miami, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":73500,"max":99500,"currency":"USD","period":"year","gross":null,"usd_annual":99500},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-16T14:00:53Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T19:05:41Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Join Atlas Air Worldwide. Move the World with Us!\nAt 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. \nIf you're ready to grow, innovate, and help us deliver excellence every single day, you belong here.\nPosition 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.\nAs 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.\nMajor Accountabilities:\nData Pipeline Development\nBuild, test, deploy, and maintain batch and streaming data pipelines for structured and semi-structured data sources using established patterns and frameworks.\nDevelop data transformations that convert source data into accurate, documented, and reusable datasets.\nImplement data models and data products based on defined business requirements and technical designs.\nUse Databricks, Spark, orchestration tools, and cloud services to complete scoped engineering work with support from senior team members.\nParticipate in code reviews and incorporate feedback to improve code quality, maintainability, and performance.\nData Quality & Operations\nCreate automated tests, validation checks, logging, and monitoring the pipelines and datasets you develop.\nInvestigate data quality, reliability, and performance issues; resolve routine issues independently and escalate broader problems appropriately.\nProduce clear technical documentation, including data definitions, lineage, runbooks, and support notes.\nParticipate in the team's on-call and incident response practices, with appropriate guidance and escalation support.\nFollow established security, privacy, governance, and access control requirements.\nCollaboration & Growth\nWork with Data Analytics, Data Science, Software Engineering, IT, Security, and business partners to clarify requirements and deliver fit-for-purpose solutions.\nBreak defined requirements into engineering tasks, communicate progress and risks, and deliver work within agreed timelines.\nContribute to team standards for source control, testing, CI/CD, documentation, and operational readiness.\nLearn the Atlas Air business domain and use that understanding to improve the usefulness and reliability of data products.\nSeek feedback, share knowledge, and progressively take ownership of larger components and less-defined problems.\nRequired Qualifications: \nBachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field; or equivalent practical experience.\nMinimum 1 year of professional experience in data engineering, software engineering, analytics engineering, or a closely related field.\nWorking proficiency in SQL and at least one general-purpose programming language (e.g., Python, TypeScript, Rust, Java, C++, etc.).\nExperience building or supporting data pipelines, transformations, or data models in a professional, internship, academic, or substantial project setting.\nFamiliarity with core data engineering concepts, including ETL/ELT, relational data modeling, data quality testing, and pipeline orchestration.\nExperience with Git-based development practices and an understanding of code review, automated testing, and deployment workflows.\nAbility to troubleshoot technical issues methodically, communicate clearly, and collaborate effectively with technical and non-technical partners.\nDesired Qualifications: \nHands-on exposure to Databricks, Apache Spark, or another distributed data-processing platform.\nExperience with dbt or a similar transformation framework and an orchestration tool such as Airflow, Prefect, or Dagster.\nFamiliarity with one major cloud platform and its data services: AWS, Azure, or GCP.\nExposure to streaming or event-driven technologies such as Kafka, Kinesis, Spark Structured Streaming, or Flink.\nFamiliarity with BI, data science, or machine learning workflows and the data products that support them.\nExperience in aviation, transportation, logistics, or another operationally complex industry.\nApplicants must be legally authorized to work in the United States. This position is not eligible for employment visa sponsorship or employer immigration support either now or in the future.\nThe 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.\nIf you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document by clicking \"EEO Is The Law \" .\nTo view our Pay Transparency Statement, please click here: Pay Transparency Statement\nCompetitive compensation will be offered based on a variety of factors, including a candidate's experience, skills, education, geographic location, internal equity and other factors. In addition, a range of benefits to include medical, dental and vision insurance, employee assistance program, as well as generous paid time off, and 401K contributions are offered as a part of the total compensation package.\nPay Range\n$73,500—$99,500 USD\nAt 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.","description_format":"text","description_chars":6446,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Logistics","Air Transport"],"lifecycle":[{"event":"open","at":"2026-10-16T14:28:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":60,"reasons":["conf:3","velocity","win:early","comp:junior"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":99500,"is_top_pay":false},"html_url":"https://alion.io/job/atlas-air-worldwide-data-engineer","json_url":"https://alion.io/job/atlas-air-worldwide-data-engineer.json","meta":{"generated_at":"2026-10-17T20:19:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4047,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2220433},"rest":"https://alion.io/mcp/rest/get_company?id=2220433"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fatlas-air-worldwide-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fatlas-air-worldwide-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fatlas-air-worldwide-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/atlas-air-worldwide-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fatlas-air-worldwide-data-engineer"}]}