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.

Live roles · newest first

Pick a job.
Get the plan.

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

Data Engineer, YouTube Business OrganizationMid

Google · Bengaluru, Karnataka, India

Data modellingSQLSparkData qualityAWS
today3+ yrs

Data Engineer 4Mid

Capital One · McLean, VA

Data modellingPythonSQLSparkWarehousing
1 d ago4+ yrs

Data Engineer 5Mid

Capital One · 2 Locations

Data modellingPythonSQLSparkWarehousing
1 d ago6+ yrs

Data Engineer 4Mid

Capital One · 2 Locations

Data modellingPythonSQLSparkWarehousing
1 d ago4+ yrs

Data Engineer 5 (SEO/GEO, AdTech )Mid

Capital One · McLean, VA

Data modellingPythonSQLSparkWarehousing
1 d ago6+ yrs

Data Engineer 4 - Payment NetworksMid

Capital One · 2 Locations

Data modellingPythonSQLSparkWarehousing
1 d ago4+ yrs

Data Engineer 4 - Nexus ProductsMid

Capital One · 2 Locations

Data modellingPythonSQLSparkWarehousing
1 d ago4+ yrs

Data Engineer 5 - Enterprise Risk ManagementMid

Capital One · 2 Locations

Data modellingPythonSQLSparkWarehousing
1 d ago6+ yrs

Data Engineer 4 - HR TechMid

Capital One · 2 Locations

Data modellingPythonSQLSparkWarehousing
1 d ago4+ yrs

Data Engineer 4Mid

Capital One · 2 Locations

Data modellingPythonSQLSparkWarehousing
1 d ago4+ yrs

Data Engineer 4 (Python, AWS, Kafka, Spark, SQL, Snowflake, Databricks, GenAI)Mid

Capital One · 3 Locations

Data modellingPythonSQLSparkStreaming
1 d ago4+ yrs

Data Engineer, Amazon Music, Amazon Music FinanceMid

Amazon · Culver City, California, USA

Airflow / orchestrationData modellingPythonSQLWarehousing
1 d ago3+ yrs

AI Platform Data Engineer, Ring Agent Platform OrgMid

Amazon · Hawthorne, California, USA

Data modellingSQLAWSFailure handlingGovernance & security
1 d ago1+ yrs

Data Engineer, Amazon Global Selling - AITMid

Amazon · Shanghai, CHN

Data modellingPythonSQLWarehousingSpark
1 d ago1+ yrs

Data Engineering Solutions SpecialistMid

Snowflake · US, Remote · Remote

WarehousingCost & performance
1 d ago10+ yrs

Data Engineer, Marketing Tech BI, Stores Finance Analytics & InsightsMid

Amazon · Seattle, Washington, USA

Data modellingData qualityPythonSQLSpark
5 d ago3+ yrs

Data Engineer - Music DISCO, Music DISCOMid

Amazon · Mexico City, Mexico City, MEX

Airflow / orchestrationData modellingPythonSQLSpark
6 d ago3+ yrs

Data Engineer, Infra-Finance Business intelligence & TransformationsMid

Amazon · Seattle, Washington, USA

Data modellingPythonSQLWarehousingAWS
6 d ago5+ yrs

Data Engineer II, DSP AnalyticsMid

Amazon · Hyderabad, Telangana, IND

Data modellingPythonWarehousingAWSGovernance & security
6 d ago3+ yrs

Business Intelligence Engineer, eCS Data Engineering and AnalyticsMid

Amazon · Bengaluru, Karnataka, IND

Data modellingPythonSQLWarehousingAWS
6 d ago5+ yrs

Data Engineer II, Business Data TechnologiesMid

Amazon · Seattle, Washington, USA

Data modellingSparkWarehousingAWSSQL
7 d ago3+ yrs

Data Engineer , Amazon Customer ServiceMid

Amazon · Seattle, Washington, USA

Data modellingData qualitySQLSparkAWS
7 d ago3+ yrs

Google · google.com · checked today

Data Engineer, YouTube Business Organization

Bengaluru, Karnataka, IndiaMid3+ yrsData Engineerposted today

Skills, with evidence

  • Data modelling
    3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).must have
  • SQL
    We use SQL and YouTube’s Extract, Transform, Load (ETL) systems to produce useful datasets, establish best practices for data sets and reporting, and develop a breadth of expertise in various data domains.must have
  • Spark
    3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).must have
  • Data quality
    Build and maintain data platforms to enable data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets.must have
  • AWS
    Experience with data warehouses, large-scale distributed data platforms, data lakes, artificial intelligence and Gen AI data applications.not practised here
  • Streaming
    3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
  • Cost & performance
    Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines.
  • Governance & security
    Build and maintain data platforms to enable data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets.not practised here
  • Machine learning
    Work closely with analysts to productionize and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models.not practised here

Your plan

  1. SQL

    drills at the Mid level

  2. Modelling

    drills at the Mid level

  3. Pipelines

    drills at the Mid level

  4. Spark

    drills at the Mid level

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

leaves in 13 dremoved the moment Google 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.