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Jobs · 100 data companies · refreshed every 6 hours

Data engineering jobs.

Roles fetched from the careers pages of companies that take data seriously. Each one read for the skills it asks, turned into a practice plan, and linked to the company's own apply page.

  • A plan with every job, not just a link.
  • Your readiness, drill by drill.
  • Nothing older than 14 days.
See the live rolesHow it works

Live roles · newest first

Pick a job.
Get the plan.

Data Engineer, Analytics Engineer, Data Platform and Data Architect roles. No relevance ranking.

Software Development Engineer, Prime Video Live Events - Sports Data PlatformMid

Amazon · Bengaluru, Karnataka, IND

StreamingAWSData modellingFailure handlingGovernance & security1 d ago2+ yrs

Data Platform EngineerMid

Figma · San Francisco, CA • New York, NY • United States

PythonData qualityAirflow / orchestrationAWSData modelling1 d ago5+ yrs

Data Engineer, Data Infrastructure and Generative Intelligence - AIGC FinanceMid

Amazon · Seattle, Washington, USA

Data modellingSQLWarehousingAWSSpark2 d ago3+ yrs

Data Platform EngineerMid

Adobe · Bucharest

AWSAzurePythonSQLSpark5 d ago2+ yrs

Software Engineer, Data PlatformMid

Amazon · San Francisco, California, USA

PythonAWSData modellingStreamingGo5 d ago

Software Engineer - Data PlatformMid

Vercel · Remote - United States · Remote

Data modellingStreamingWarehousingAWSAzure6 d ago8+ yrs

Software Development Engineer , Leo Commerce Data PlatformMid

Amazon · Redmond, Washington, USA

Data qualitySchema evolution & contractsFailure handlingWarehousingAWS7 d ago2+ yrs

Amazon · amazon.jobs · checked today

Software Development Engineer, Prime Video Live Events - Sports Data Platform

Bengaluru, Karnataka, INDMid2+ yrsData Platformposted 1 d ago

Skills, with evidence

  • Streaming
    Build distributed systems to manage high-volume, low-latency user experiences that ensure events are accurately represented and available to customers before, during, and after live broadcasts.must have
  • AWS
    If you have experience building large-scale, high-performance, customer-friendly products and are interested in designing multi-tier services to handle large datasets, complex domains, and problems at Amazon scale, this is the job for you.must have · not practised here
  • Data modelling
    Design, develop and maintain core data services that ingest, enrich, and publish data on live sports events, broadcasts, and associated content.must have
  • Failure handling
    * Champion best practices around software engineering, including designing, testing, monitoring
  • Governance & security
    The Prime Video Sports Data Platform (SDP) team is responsible for the data powering the sports catalog that enables live sports experience for Prime Video customers worldwide.not practised here

Your plan

  1. Modelling

    drills at the Mid level

  2. Pipelines

    drills at the Mid level

The full plan, drill by drill, is on the job page.

See the full planApply on amazon.jobs

leaves in 12 dremoved the moment Amazon closes it

How it works

Fetch. Read. Plan.

Every six hours, for every company on the list.

1 · Fetch

From the company's own portal

Straight from each company's job-board API. Data engineering roles only, 14 days at most.

GET boards-api.greenhouse.io/v1/boards/airbnb/jobs → 163 postings · 1 data role · 0 new since 06:00

2 · Read

Skills, with the sentence they came from

Each posting is read once. A skill only counts if the posting says it.

Spark 0.92 "…optimise PySpark jobs processing 2 TB/day…" Airflow 0.81 "…own our Airflow DAGs end to end…" Scala 0.55 not practised here, shown anyway

3 · Plan

Built from what already exists here

Skills map to practice topics. Five drills each, at the level in the title.

Senior → Intermediate + Advanced SQL ×5 · Spark ×5 · Pipelines ×5 · Modelling ×3 + interview questions · ≈ 11 h

Kept honest

Before you
trust it.

How fresh are the jobs?

Every company is checked every six hours. A role is removed after 14 days, or the moment the company closes it, whichever comes first. A re-posted job keeps its original date.

Do I apply through D8LooP?

No. The apply button opens the posting on the company site we fetched it from, with the time we last checked shown. We never host an apply form.

How do you know which skills a job asks for?

Every skill shows the sentence of the posting it was found in. A skill without evidence is not shown, and one that readers flag as wrong is hidden.

What happens when a company feed breaks?

That company shows fewer jobs, never stale ones: its roles age out normally and its page says when it was last checked. The state of every feed is on the companies page.

Which companies are included?

One hundred companies with real data platforms, from Amazon, Google and Netflix to Databricks, Stripe and Grab. The full list, with the state of each feed, is on the companies page.

Do you have every data engineering job?

No, on purpose. We cover Data Engineer, Analytics Engineer, Data Platform and Data Architect roles at the 100 companies, and nothing else.

How is the prep plan built?

Each skill in the posting maps to practice topics on D8LooP. The plan takes five drills per module at the level in the job title and closes with the interview questions for it.

Is it free?

Browsing and building a plan are free with an account. The drills follow the entitlements you already have.

Prepare for the job.
Not for the internet.

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