Data Engineer

Cohere
New York, US
Remote

Who this role is best for

Strong fit for senior data engineers with 5+ years in production-grade data systems and excitement about AI, working remotely on cutting-edge infrastructure.

Best fit for

  • Senior data engineer experienced with distributed processing frameworks like Spark or Flink.
    — “Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink
  • Python and SQL expert comfortable transforming unstructured data into performant datasets.
    — “Strong command of Python and SQL
  • Candidate excited about AI research and building genuinely new systems.
    — “Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds

Things to consider

  • Remote work with optional offices in Toronto, New York, and others.
    — “Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris
  • Must implement solutions end-to-end without waiting for directives.
    — “Run implementations end-to-end and see initiatives through to real outcomes — no waiting around to be told what to do

How to stand out

  • Highlight experience with Kubernetes and modern analytics tools.
    — “Experience with modern orchestration platforms, especially Kubernetes (nice to have)
  • Show examples of transforming unstructured data across diverse storage backends.
    — “The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX
  • Demonstrate knowledge of Java or Golang in your portfolio.
    — “Knowledge of Java or Golang (nice to have)
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • launching products
  • partnering across departments
  • transforming unstructured data into performant datasets
Typical background
5+ years of experience in production-grade data processing systems

Skills & requirements

Required

PythonSQLDistributed Data Processing FrameworksUnstructured Data TransformationModern Orchestration Platforms

Preferred

KubernetesBigQueryAirflowdbtJavaGo

Stack & domain

PythonSQLApache BeamSparkFlinkKubernetesBigQueryAirflowdbtLeadershipCommunicationProblem SolvingAIData ProcessingStorage InfrastructureProduct LaunchesCustomer Experiences

About the role

As a Data Engineer at Cohere, you'll work on cutting-edge AI systems, transforming unstructured data into valuable insights, and collaborating with top-tier researchers and engineers to launch innovative products.

Original posting from Cohere via Ashby

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

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. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

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 storage infrastructure, product launches, and 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 — no waiting around to be told what to do
  • 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
  • The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX
  • Experience with modern orchestration platforms, especially Kubernetes (nice to have)
  • Familiarity with modern analytics stack tooling such as BigQuery, Airflow, or dbt (nice to have)
  • Knowledge of Java or Golang (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

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Weekly lunch stipend, in-office lunches & snacks

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for up to 6 months

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend

✈️ 6 weeks of vacation (30 working days!)

Source: Cohere careers (Ashby)

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