Entry-level data engineer jobs
Most data engineering hiring starts at three to five years of experience, so the entry points are worth knowing by name. Atlassian posts a dedicated ‘Data Engineer, 2027 Graduate U.S.’ req (Seattle, graduating by August 2027, $124,200–$162,150 in its top pay zone) plus a 12-week 2027 summer DE internship at $47–$64 an hour; Meta posts a 2+ year Data Engineer, Product Analytics tier at $114,000–$173,000 and a Summer 2027 Data Engineer Intern req in Menlo Park, Seattle and New York; Amazon has a Data Engineer I rung (bachelor’s plus 1+ years) and a 2027 DE internship with Winter, Summer and Fall starts that feeds every US DE team. Apple’s Applied Data Solutions internship and DoorDash’s generalist entry-level SWE req are adjacent routes, and the other seven companies hire experienced data engineers only.
3 of 12 ranked programs match · Last verified October 10, 2026 · See the full Data Engineer List →
Meta data engineers design logging, data models and ETL pipelines that feed analytics for Facebook, Instagram, WhatsApp, Threads and Reality Labs, working with software engineers, data scientists and PMs. Product Analytics reqs dominate, with 2026 growth in AI-facing reqs (Ranking/AI, Meta Superintelligence Labs). It is the largest dedicated, leveled DE ladder on this list, with an intern path and a posted 2+ year tier.
Salary band, hiring status & score breakdown — see the full Meta Data Engineer page →Meta interview guide →
Amazon data engineers build and run ETL pipelines, warehouses and data lakes — largely Redshift, EMR, S3, Glue and Kinesis on AWS — that feed finance, operations, advertising and AWS business analytics. Most reqs are embedded in a line of business such as WW Ops Finance, AWS Marketplace or Ring, so the day-to-day varies by team. With 65 open reqs it has the most data engineering openings on this list, a clearly leveled DE ladder, and a dedicated DE internship.
Salary band, hiring status & score breakdown — see the full Amazon Data Engineer page →Amazon interview guide →
Atlassian data engineers own end-to-end ELT/ETL pipelines, data models, quality frameworks and on-call for product, growth and go-to-market data, partnering with data science and product engineering. Postings stress Spark, Airflow and Databricks, metrics definition, logging instrumentation and data governance. The org is distributed-first, has a rare dedicated graduate DE program, and is adding AI-oriented data work such as an ‘AI context layer’ for agents.
Salary band, hiring status & score breakdown — see the full Atlassian Data Engineer page →Atlassian interview guide →
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