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Data Engineering Jobs

A job board listing only data engineering roles, collected from across the web and updated several times a day.

Introduction

getdataengineeringjobs.com is a job board that lists only data engineering roles, collected from across the web and refreshed several times a day, with salary, location and stack shown on the listing card itself.

What is Data Engineering Jobs?

Data Engineering Jobs (getdataengineeringjobs.com) is a single-purpose job board: it aggregates open data engineering positions from other sites and republishes them in one searchable index. Each entry pairs a job title and company with location (including remote and hybrid markers), seniority level, a stated salary range where the employer publishes one, and the tools named in the posting — Airflow, dbt, Databricks, Snowflake, Kafka, ClickHouse and similar. The board is web-only and reachable without an account; at the time of the page snapshot it displayed 4,342 open roles.

What makes Data Engineering Jobs stand out?
  • Data-engineering-only index — postings outside the discipline are filtered out; the site states it carries only data engineering roles.
  • Several-times-daily refresh — listings are re-collected more than once a day, and new entries are marked "New", "Yesterday" or "2d ago".
  • Salary on the card — roles that disclose pay show the range inline, e.g. US$200k–350k / year for a Machine Learning Infrastructure Engineer at Raydar, or US$345k–399.4k / year for a Principal Software Engineer, Creator Analytics at Roblox.
  • Stack tags per listing — each job carries the named tools, such as Airflow, dbt, ClickHouse and GitHub Actions for the ClickHouse Senior Data Platform Engineer role.
  • Multi-currency salary display — a currency selector switches salary display between USD, EUR, GBP, CAD, AUD, INR and CHF.
  • Sort and filter controls — results can be sorted by Newest or Highest salary, alongside a job search box and a Filters panel.
  • Weekly email digest — one email a week with a few new jobs that state salary, location and stack, plus links to the rest.
  • Privacy-stated newsletter — the digest page says it uses no open tracking, counts clicks per issue rather than per person, and unsubscribes with one click.
Who should use Data Engineering Jobs?
  • Data engineers job-hunting — search the index and sort by Highest salary to compare pay across employers that publish ranges.
  • Analytics and platform engineers — scan for stack-specific work such as dbt/Airflow pipelines or Databricks/Delta Lake platform roles.
  • Engineers targeting remote or regional work — listings flag details like "Remote · Germany, Spain, United Kingdom" or "Hybrid · Kuala Lumpur", so geography can be checked before opening a posting.
  • Senior and lead engineers — every card carries a seniority label (Junior, Mid, Senior, Lead, Principal) on postings from companies including ClickHouse, Roblox, Capgemini, Tieto, Socure and Zipline.
What can you do with Data Engineering Jobs?
  • Compare disclosed pay: sort by Highest salary to see ranges side by side across employers, then switch currency from USD to EUR, GBP or another of the seven supported options.
  • Track a niche stack: find every posting that names Databricks, ClickHouse or dbt by reading the stack tags shown under each job title.
  • Get a low-volume feed: subscribe to the weekly digest and receive a handful of new roles with stated salary, location and stack rather than a daily stream.
How does it work?
  1. Enter a query in the job search box or scroll the full index of 4,342 roles.
  2. Narrow the list with Filters, sort by Newest or Highest salary, and pick a display currency.
  3. Open a listing to reach its page on the board, which includes the company, location, seniority and tool tags.
  4. Optionally add an email address to receive the weekly digest of new postings that disclose pay, location and stack.
FAQ
Is Data Engineering Jobs free to use?

The page shows no paywall, account requirement or subscription price for browsing the job index or receiving the weekly email digest — both are reachable directly from the site.

How often are the listings updated?

Listings are collected from across the web and updated several times a day, according to the site. Cards carry relative timestamps such as "New", "Yesterday" and "2d ago" so recency is visible before you open a posting.

Does it list roles outside data engineering?

No. The board states it carries only data engineering roles, so design, marketing or general software positions are not included. Visible titles span data engineer, analytics engineer, data platform engineer, ETL specialist and data solutions architect.

Can I see salaries in my own currency?

Yes — a selector switches salary display between USD, EUR, GBP, CAD, AUD, INR and CHF. Only employers that publish pay show a range, so roles such as the Triumph Data Engineer listing appear with title, location and seniority but no salary figure.

What is in the weekly digest?

One email a week containing a few new jobs that state their salary, location and stack, plus links to the rest. The site says the digest uses no open tracking, counts clicks per issue rather than per person, and unsubscribes with one click.

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