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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.

Senior AI Data EngineerSenior

Mastercard · Pune, India

Airflow / orchestrationData modellingData qualityPythonSQLtoday

Senior Data EngineerSenior

Nebius · Tel Aviv, Israel

Airflow / orchestrationCost & performanceData qualityIdempotency & backfillsPythontoday8+ yrs

Senior Analytics EngineerSenior

Faire · San Francisco, CA

PythonSQLWarehousingAirflow / orchestrationData modellingtoday4+ yrs

Data Engineering Senior AssociateSenior

Salesforce · Ireland - Dublin

Airflow / orchestrationData qualityPythonSQLWarehousingtoday3–7 yrs

Senior Data Engineer, gTech RiskSenior

Google · Chicago, IL, USA

Data modellingPythonSQLSparkDashboards & BItoday5+ yrs

Senior Data EngineerSenior

Mastercard · Dublin, Ireland (One South County)

Airflow / orchestrationData qualityPythonSQLSpark1 d ago

Senior Finance Analytics EngineerSenior

Faire · New York City, NY; San Francisco, CA

Airflow / orchestrationData modellingPythonSQLWarehousing1 d ago5+ yrs

Senior Full Stack Software Engineer, Data PlatformSenior

NVIDIA · US, CA, Santa Clara

PythonData modellingAWSJavaCost & performance2 d ago5+ yrs

Senior Synthetic Data Engineer - Autonomous DrivingSenior

NVIDIA · 5 Locations

PythonKubernetesCost & performance2 d ago8+ yrs

Data Engineer III - AMZ10455847Senior

Amazon · Charleston, South Carolina, USA

Data modellingSQL2 d ago3+ yrs

Senior Data Engineer II - Scalable GrowthSenior

Wise · London, gb

Airflow / orchestrationData qualityPythonStreamingdbt4 d ago

Senior Data EngineerSenior

Adobe · San Francisco

Airflow / orchestrationData qualityPythonSQLCost & performance5 d ago5+ yrs

Data Engineer III, Amazon Manufacturing Services (AMS)Senior

Amazon · Bellevue, Washington, USA

Data modellingPythonSQLSparkWarehousing5 d ago5+ yrs

Senior Software Engineer - Data PlatformSenior

Klaviyo · Boston, MA

PythonAWSTerraformStreamingAirflow / orchestration5 d ago7+ yrs

Senior Data EngineerSenior

Mastercard · Lisbon, Portugal

Data modellingData qualityPythonSQLSpark6 d ago

Sr. Data & Analytics Engineer, Amazon LeoSenior

Amazon · Redmond, Washington, USA

Data modellingData qualityPythonSQLAWS6 d ago5+ yrs

Senior Data EngineerSenior

Mastercard · Pune, India

Data modellingFailure handlingPythonSQLSpark7 d ago6+ yrs

Sr. Data Engineer, Amazon Digital AdvertisingSenior

Amazon · Boulder, Colorado, USA

Data modellingPythonSQLSparkWarehousing7 d ago5+ yrs

Senior Data Engineer, Product Analytics, PaymentsSenior

Google · Singapore

Data modellingData qualityPythonSQLMachine learning7 d ago5+ yrs

Software Engineer III, Synthetic Data Engineer, XRSenior

Google · Munich, Germany

Machine learningPython7 d ago2+ yrs

Senior Software Engineer, Backend (Consumer Data Platform)Senior

Affirm · Remote Canada · Remote

PythonAWSData modellingFailure handlingStreaming8 d ago6+ yrs

Sr. Business Intelligence Engineer, AWS Analytics EngineeringSenior

Amazon · Seattle, Washington, USA

Data modellingSQLWarehousingAWSPython9 d ago5+ yrs

Senior Data EngineerSenior

Okta · Bengaluru, India

Airflow / orchestrationData qualitySQLdbtAWS11 d ago5+ yrs

Senior Product Analytics Engineer - AdsSenior

Faire · San Francisco, CA

Data qualityPythonSQLWarehousingAirflow / orchestration11 d ago4+ yrs

Senior Data EngineerSenior

Salesforce · 3 Locations

Airflow / orchestrationData modellingData qualityPythonSQL11 d ago5+ yrs

Sr Analytics EngineerSenior

Delivery Hero · Montevideo, Montevideo Department, uy

Airflow / orchestrationData modellingSQLGCPDashboards & BI12 d ago

Sr Analytics EngineerSenior

Delivery Hero · Buenos Aires, ar

Airflow / orchestrationData modellingSQLGCPDashboards & BI12 d ago

Mastercard · mastercard.wd1.myworkdayjobs.com · checked today

Senior AI Data Engineer

Pune, IndiaSeniorData Engineerposted today

Skills, with evidence

  • Airflow / orchestration
    Strong knowledge of workflow orchestration tools such as Apache Airflow, Azure Data Factory, or similar platformsmust have
  • Data modelling
    Solid understanding of data modeling, metadata management, data lineage, and enterprise data governancemust have
  • Data quality
    Ensure high standards of data quality through automated validation, profiling, lineage, observability, and monitoringmust have
  • Python
    Strong proficiency in Python, SQL, Spark, and distributed data processing frameworksmust have
  • SQL
    Strong proficiency in Python, SQL, Spark, and distributed data processing frameworksmust have
  • Spark
    Strong proficiency in Python, SQL, Spark, and distributed data processing frameworksmust have
  • Streaming
    Experience with streaming technologies such as Kafka, Kinesis, or Azure Event Hubs.must have
  • AWS
    Experience building cloud-native data platforms using AWS, Azure, or Google Cloud Platformmust have · not practised here
  • Azure
    Experience building cloud-native data platforms using AWS, Azure, or Google Cloud Platformmust have · not practised here
  • GCP
    Experience building cloud-native data platforms using AWS, Azure, or Google Cloud Platformmust have · not practised here
  • Failure handling
    - Ensure high standards of data quality through automated validation, profiling, lineage, observability, and monitoring
  • Governance & security
    Working closely with AI Engineers, Data Scientists, Platform Engineers, and Solution Architects, you will deliver secure, reliable, and high-performance data solutions while driving engineering best practices, data governance, and operational excellence across AI initiativesnot practised here
  • Machine learning
    As a Senior AI Data Engineer within Mastercard's AI Center of Excellence, you will lead the design, development, and optimization of enterprise data platforms and pipelines that enable scalable AI, machine learning, and Generative AI solutions.not practised here
  • Cost & performance
    - Build and optimize data architectures supporting LLMs, RAG, embeddings, vector databases, and AI knowledge repositories

Your plan

  1. SQL

    drills at the Senior level

  2. Python

    drills at the Senior level

  3. Modelling

    drills at the Senior level

  4. Pipelines

    drills at the Senior level

  5. Spark

    drills at the Senior level

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

See the full planApply on mastercard.wd1.myworkdayjobs.com

leaves in 13 dremoved the moment Mastercard 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.

Browse live rolesNot ready yet? Start from scratch