Jobs · 220 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 roles How it works

portal → 14-day rule → live role → plan

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

Data Engineer III, Data Engineering IndiaSenior

Amazon · Bengaluru, Karnataka, IND

Data modellingPythonSQLSparkWarehousing8 d ago5+ yrs

Amazon · amazon.jobs · checked today

Data Engineer III, Data Engineering India

Bengaluru, Karnataka, INDSenior5+ yrsData Engineerposted 8 d ago

Skills, with evidence

Data modelling
Experience with data modeling, warehousing and building ETL pipelinesmust have
Python
Optimize data pipelines, build and manage Python-based automations/tools for data pipelinesmust have
SQL
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Redshift SQL, Spark SQL and other AWS big data technologiesmust have
Spark
Experience with big data technologies such as: Hadoop, Hive, Spark, EMRmust have
Warehousing
Experience operating large data warehousesmust have
Cost & performance
The Amazon Delivery and Shopping Experience Product Team is looking for a Data Engineer-III who will develop data solutions to optimize customer experience by disproportionately improving discoverability and speed.
AWS
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Redshift SQL, Spark SQL and other AWS big data technologiesnot practised here
Java
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSnot practised here
Scala
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSnot practised here

Your plan

SQL
drills at the Senior level
Python
drills at the Senior level
Modelling
drills at the Senior level
Spark
drills at the Senior level

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

See the full plan Apply on amazon.jobs

leaves in 5 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?

220 product companies with real data platforms, worldwide: Amazon, Google and Netflix; Databricks, Stripe and Anthropic; Spotify, Adyen, N26 and Trade Republic in Europe; Careem, Tamara and Bybit in the Gulf; Grab, Airwallex and PayPay in Asia-Pacific; Nubank and QuintoAndar in Latin America. The full list, with the state of each feed, is on the companies page.

What does “Jobs abroad with relocation support” show?

Roles outside India where moving is supported, on one of two kinds of evidence. “Relocation”: the posting itself offers relocation or visa support. “Relocates”: the company publicly relocates hires to that country (its relocation page, its careers page, or relocate.me), linked from the job page. A posting that refuses relocation or sponsorship never shows, whatever the company does in general. Always confirm the details with the recruiter before you plan a move.

Do you have every data engineering job?

No, on purpose. We cover Data Engineer, Analytics Engineer, Data Platform and Data Architect roles at these 220 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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