Level

Cohere

Data Engineer, Data Foundations

Cohere is hiring a Data Engineer, Data Foundations for a remote role open to applicants in United States. It pays $160k-$325k a year and Level rates it ; you can apply on Cohere.

Level's read on this job

  • On Level's scale, this data engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts 7% higher than the typical data engineer posting on Level.
  • This is listed as a remote role.
  • The posting mentions Python, SQL and Apache Beam among its tools and skills.
  • Cohere has 115 other open roles on Level.

AI in this role

Build foundational data processing infrastructure and pipelines to support large-scale AI systems at Cohere.

pythonsqlapache-beamsparkflinkbigqueryairflowdbtjavagolangkubernetes
data-processingdistributed-systemsdata-engineering

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Why this role?

We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a member of our Analytics & Data Insights team, you'll tackle the kind of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises understand what foundational AI actually means for their bottom line.

As a Data Engineer, you will:

  • Work directly on new customer experiences built on one of the most advanced AI systems in the world

  • Collaborate daily with researchers and engineers who are some of the best in the world at what they do

  • Run implementations end-to-end and see initiatives through to real outcomes

  • Partner across research, marketing, sales, and finance to help define how Cohere grows, with your recommendations feeding directly into products and strategy

You may be a good fit if you have:

  • 5+ years of experience working on production-grade data processing systems

  • Strong command of Python and SQL

  • Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink, alongside large-scale data system design

  • The ability to transform unstructured data into performant datasets in relational databases and blob storage

  • Familiarity with modern analytics stack tooling such as BigQuery, Airflow, or dbt

  • Knowledge of Java or Golang (nice to have)

  • Experience with Kubernetes (nice to have)

  • Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds

  • Comfort operating at the edge of what's known, with a desire to build something genuinely new rather than optimise what already exists

Full-Time Employees at Cohere enjoy these Perks:

  • A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.

  • Full health and dental benefits, including a separate budget for mental health.

  • RRSP matching, 401K, Pension Scheme.

  • 100% Parental Leave top-up for up to 6 months, for either parent.

  • Annual enrichment benefits:

    Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.

    Education & learning stipend for conferences, courses, and coaching.

  • 6 weeks of paid vacation (30 working days!)

  • Budget for traveling to other offices if you are remote, plus an annual company offsite.

How and Where We Work:

  • Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.

  • For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.

  • For those not near an office: a co-working benefit so you can work alongside others in your city.

  • Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.


We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

How we rate this

Data Engineer, Data Foundations at Cohere rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ProcessingDistributed SystemsData EngineeringPythonSQLApache BeamSparkFlink

Also common in data engineer jobs at this level

Pay

This job starts at
$160k
Typical data engineer job
$150k

This posting starts 7% above the typical data engineer job. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data processing was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where data engineering was part of your work. What did you do?
  4. What's a project where you used Python hands-on?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Processing, Distributed Systems, Data Engineering, Python, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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