Remote data engineer jobs

Remote data engineering seats are concentrated at a handful of companies: Netflix lists every open data req as ‘Remote, United States’ with a $380,000–$610,000 band, Airbnb’s four open data reqs are all US-remote-eligible, Atlassian’s senior data engineer req is Remote Americas, Stripe’s Data Transformation and Core Technology reqs list US remote, Meta tags two senior and staff reqs ‘Remote, US’, and DoorDash has one remote security data engineering req. The programs below are the ones where remote is a real option; Amazon (five days in office on every DE req), Uber (three days, remote roles ending), Apple, Google and Microsoft (hybrid, about three days) and Databricks (hub offices only) are not.

6 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.

Base salary

$147k–$208k

Locations

Menlo Park · Seattle · NYC · SF · Chicago · DC

Work setup

Hybrid, about 3 days a week in office company-wide (Instagram requires 5 days from February 2, 2026); two senior and staff data engineer reqs list ‘Remote, US’

Experience

Mid-level req: bachelor’s or equivalent, 4+ years in data-focused roles (analyst, data scientist, data engineer), 4+ years of SQL, ETL, data modeling and one language (Python, C++, C#, Scala). Senior reqs need 7+ years and staff reqs 10–12+ years of data-warehouse and custom-ETL experience. Entry level exists: a 2+ year Data Engineer, Product Analytics req ($114K–$173K) and the intern program. Recent reqs prefer demonstrated AI-tool use in data workflows.

Worth knowing: After announcing about 8,000 layoffs (10%) and about 6,000 unfilled reqs on May 19, 2026, Meta still posted new data engineer reqs through September 2026 — including two for Meta Superintelligence Labs (posted Sep 9 and Sep 14, 2026).

10 US full-time ‘Data Engineer’ reqs open in Meta’s Data Engineering sub-team as of Oct 10, 2026 — three Product Analytics reqs at 2+, 4+ and 7+ years, Teen & Family Experience, Analytics (Ranking, AI), two for Meta Superintelligence Labs and three Technical Leadership reqs at 10–12+ years — plus a Summer 2027 Data Engineer Intern; offices include Menlo Park, Sunnyvale, Burlingame, San Francisco, Fremont, Bellevue, Redmond, Seattle, New York, Chicago and Washington DC, with Remote US on two reqs

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Salary band, hiring status & score breakdown — see the full Meta Data Engineer page →Meta interview guide →

Netflix data engineers build batch and real-time pipelines and data models that power analytics, product features and ML across Growth, Finance, Content and Studio. 2026 hiring concentrates on Ads data engineering (inventory, targeting, identity, measurement) plus analytics engineers embedded with data science. It is a senior-heavy, high-autonomy org with no junior ladder for data engineers.

Base salary

$380k–$610k

Locations

US remote (hubs in Los Gatos and LA)

Work setup

Remote-eligible — the L5 Data Engineer posting accepts fully remote US candidates (with occasional Los Gatos visits) or relocation to Los Gatos; the careers system tags both L6 Ads reqs ‘onsite’ despite a ‘Remote, United States’ location, so confirm per req

Experience

Senior-only bar. The L5 Data Engineer req wants proficiency in Java, Scala or Python plus SQL, deep strength in distributed data processing, data-service engineering or data modeling, and Spark or Flink at web scale; Ads reqs add batch and streaming pipelines on Spark/Flink/Hive/Hadoop and warehouse modeling. L6/Staff reqs state 12+ and 15+ years. No entry-level DE path.

Worth knowing: Netflix pays data engineers entirely in cash with no bonuses (‘compensation structure consists solely of an annual salary’): L5 posts $380K–$610K and the Staff (L6) Ads Data Engineer req posts $510K–$820K.

About 19 data-centric US reqs as of Oct 10, 2026: four ‘Data Engineer’-titled reqs (two L5 including one for Ads, two L6/Staff Ads), nine ‘Analytics Engineer 5’ reqs and roughly six data-platform and data-products SWE reqs, mostly in the Data & Insights org and heavy on Ads data, all listed ‘Remote, United States’

Prep with Aced View open roles

Salary band, hiring status & score breakdown — see the full Netflix Data Engineer page →Netflix interview guide →

Airbnb data engineers and analytics engineers build Airflow-orchestrated pipelines, dimensional models and Minerva metric definitions that feed finance, infrastructure and product decisions, and a growing share of the work measures AI cost and usage. Open reqs are Senior Staff or Staff level, remote-eligible across the US, and increasingly blend DE and AE responsibilities within one team. Data-platform seats are Staff SWE reqs on the engineering ladder.

Base salary

$179k–$210k

Locations

US remote (approved states only)

Work setup

Remote — every open data req is US-remote-eligible, with occasional office visits or offsites agreed with your manager; you must live in a state where Airbnb has a registered entity

Experience

Senior Analytics Engineer: 5+ years in analytics or data engineering, SQL, Python, Spark/Presto/Hive and dimensional modeling. Senior Staff Data Engineer: 12+ years (BS/MS) or 9+ (PhD). Staff SWE Data Warehouse: 10+ years in data infrastructure (Spark, Presto/Trino, Java/Scala). No entry-level data engineer req is open.

Worth knowing: Apache Airflow was started at Airbnb in October 2014 and became an Apache Top-Level Project in January 2019 — and the current Senior Staff Data Engineer req still describes Airflow-orchestrated pipelines and Minerva metric definitions.

Four core US data reqs open on a 161-req global board as of Oct 10, 2026 — Senior Staff Data Engineer (Foundational Data), Senior Analytics Engineer (Airbnb.org), Staff SWE Data Warehouse and Staff SWE Data Authoring — plus a data-focused Staff backend role in Marketplaces & Intelligence; all are US-remote-eligible, and a Unified Data Store Staff SWE req is Brazil-only

Prep with Aced View open roles

Salary band, hiring status & score breakdown — see the full Airbnb Data Engineer page →Airbnb 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.

Base salary

$139k–$219k

Locations

Six US hubs + Americas remote (Seattle for grads)

Work setup

Distributed-first — Atlassians choose to work in an office, from home or a mix; the senior DE req lists Remote Americas, while the graduate and intern roles require the Seattle hub

Experience

Senior Data Engineer: BE or CS or equivalent plus 6+ years as a data engineer; Spark pipelines with Airflow or similar, Databricks and APIs, Redshift/DynamoDB/Mongo/Postgres and data lakes, Python or Scala, strong SQL, CI/CD. Graduate DE: BS or MS in CS graduating by August 2027, Python, SQL, data structures and demonstrated DE interest. Neither early-career role is open to F-1/J-1 students or sponsorship.

Worth knowing: Atlassian cut about 1,600 jobs (about 10%) on March 11, 2026, with 900+ in software R&D — and is still posting a dedicated 2027 Graduate Data Engineer role, a DE intern role and new senior DE roles on the acquired DX team.

About seven US-eligible data-engineering reqs open as of Oct 10, 2026: Senior Data Engineer (Americas remote, Austin, Mountain View, NYC, Seattle, DC, SF), Senior Data Engineer for DX (Salt Lake City or remote), Data Engineer 2027 Graduate (Seattle), Data Engineer Intern 2027 (Seattle), a Principal Analytics Engineering analyst, a Senior Principal SWE for the Trusted Data Platform and a Senior EM for the same; larger DE reqs (Principal Data Engineer, Senior DE Manager) are posted in India

Prep with Aced View open roles

Salary band, hiring status & score breakdown — see the full Atlassian Data Engineer page →Atlassian interview guide →

Stripe data engineering is infrastructure engineering: building batch orchestration (Airflow, Spark, Iceberg), streaming and incremental transformation (Flink, Kafka), and serving layers (Trino, Pinot) that power payments, the ledger, fraud (Radar), reporting (Sigma) and financial reconciliation. There is no separate ‘Data Engineer’ title; candidates apply as backend or infrastructure software engineers and are team-matched. Pay is posted in the high-$200Ks for senior US roles.

Base salary

$206k–$286k

Locations

Seattle · SF · NYC · Chicago · US remote

Work setup

Hybrid — office-assigned Stripes spend at least 50% of the month in their local office, and the Seattle req lists ‘50% telecommuting permitted’; the Data Transformation and Core Technology reqs list US remote

Experience

Seattle senior data-pipeline req: bachelor’s plus 5 years of software engineering (Java, Scala or Python), 4 years of complex SQL and large-scale pipelines, 4 years in fintech and 1 year of Apache Spark. The Core Technology infra req asks for 2–12+ years in Go, Java or C++. The new-grad path is generalist SWE (at most 18 months of experience).

Worth knowing: Stripe’s Data Transformation org says its top priority is delivering high-quality materialized datasets for Stripe products and AI agents (EM req posted Apr 13, 2026) — yet the IC data-platform reqs on its board are in Bengaluru, Dublin and Toronto, with almost no US data-pipeline ICs open.

Thin in the US as of Oct 10, 2026: about three reqs with a data-pipeline or data-infrastructure scope among 729 Stripe postings — Senior SWE Backend (Seattle, financial data pipelines), Engineering Manager Data Transformation (Seattle, SF, NYC or US remote) and Backend Engineer Core Technology (US remote, Chicago, Seattle or SF, covering Trino and Pinot data infrastructure); the IC data-platform reqs are in Bengaluru, Dublin and Toronto

Prep with Aced View open roles

Salary band, hiring status & score breakdown — see the full Stripe Data Engineer page →

DoorDash data engineers build and operate the batch and streaming pipelines, lake and warehouse models and platform tooling behind reporting, product analytics, marketing optimization, financial reporting and real-time personalization. Hiring is concentrated in two groups: Data Engineering (Python, Airflow, Spark, Kafka/Flink, data modeling) and Core Data Platform (ingestion frameworks, the Spark platform, the lakehouse, governance). The titles are software-engineering titles on the I-ladder rather than ‘Data Engineer’.

Base salary

$131k–$192k

Locations

SF · Sunnyvale · Seattle · NYC

Work setup

Hybrid — the Senior DE posting says ‘This is a hybrid position’ in Sunnyvale, SF or Seattle, and the Data Platform req requires living in or relocating to the Bay Area, Seattle or NYC; only the security data req is remote

Experience

SWE II (I4): 3+ years in data engineering or BI, Python or Java, 3+ years of ETL orchestration (Airflow, Flink, Oozie or Azkaban on AWS or GCP), Spark/Hive/Druid/Presto, Kafka/Flink, strong SQL. Senior (I5) asks for 5+ years and Staff for 8+. The 2026 reqs ask for proficiency with AI coding tools (Claude Code, Codex, Cursor). No data-engineer-specific entry-level path; the generalist SWE I req asks for two internships and at most two years of experience.

Worth knowing: DoorDash’s 2026 data reqs list proficiency with AI coding tools (Claude Code, Codex, Cursor) as a requirement, and in March 2026 its careers blog announced it is replacing traditional coding rounds with a 60-minute AI-assisted engineering working session.

About 10 data-focused US reqs on DoorDash’s US Greenhouse board (464 reqs total) as of Oct 10, 2026: SWE II, Senior and Staff Data Engineering, SWE Data Platform (All Teams), SWE Data and AI Platform, Spark Platform (Senior SWE and SWE), Staff SWE Event Streaming Systems, an Engineering Manager for Data, and a Senior Security Data Engineer (US remote); offices are San Francisco, Sunnyvale, Seattle and New York

Prep with Aced View open roles

Salary band, hiring status & score breakdown — see the full DoorDash Data Engineer page →DoorDash interview guide →

Common questions

Netflix (every open data engineer and analytics engineer req is remote, with occasional Los Gatos visits), Airbnb (all four open data reqs are US-remote-eligible in approved states), Atlassian (the senior Data Engineer req is Remote Americas; the graduate and intern roles require Seattle), Stripe (the Data Transformation engineering manager and Core Technology infra reqs list US remote), Meta (two senior and staff DE reqs tagged Remote, US) and DoorDash (one US-remote Senior Security Data Engineer req).

Not on this list. Netflix’s remote L5 band ($380,000–$610,000) is the highest posted anywhere, Airbnb’s remote reqs post $179,000–$310,000 across its senior levels with the highest reported total compensation after Netflix, and Meta’s remote-tagged reqs are its senior and staff tiers ($177,000–$281,000). Companies that adjust by location — Atlassian’s pay zones, Microsoft’s metro bands, Amazon’s city rates — do so by where you live, not by remote status.

Because the biggest hirers are. Amazon, with 65 open DE reqs, tags every one on-site under its five-day policy; Apple, Google and Microsoft are hybrid at about three days a week; Uber went to three days in June 2025 and is ending remote roles after its September 2026 restructuring; and Databricks hires only into its SF, Mountain View, Bellevue and New York hubs. The remote-friendly companies tend to be the ones that were remote-first before 2023 — Netflix, Airbnb, Atlassian — or that build on cloud platforms with distributed teams.

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