Data Engineer, Data Foundations

Cohere

$135K — $160K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience with production-grade data processing systems
  • Strong command of Python and SQL
  • Experience with distributed data processing frameworks like Apache Beam, Spark, or Flink
  • Ability to transform unstructured data into performant datasets across diverse storage backends
  • Familiarity with orchestration platforms, especially Kubernetes (nice to have)
  • Experience with analytics stack tooling such as BigQuery, Airflow, or dbt (nice to have)
  • Knowledge of Java or Golang (nice to have)
  • Genuine excitement about AI and staying updated with research

Responsibilities

  • Work on storage infrastructure and product launches using advanced AI systems
  • Collaborate daily with top-tier researchers and engineers
  • Run end-to-end implementations and see real outcomes
  • Partner with various departments to shape company growth and strategy based on your insights

Benefits

  • Open and inclusive culture and work environment
  • Opportunity to work closely with a leading AI research team
  • Weekly lunch stipend and in-office meals/snacks
  • Comprehensive health and dental benefits including mental health budget
  • 100% Parental Leave top-up for up to 6 months
  • Personal enrichment benefits for arts, fitness, and workspace improvement
  • Remote flexibility with office locations in major cities and a co-working stipend
  • Generous vacation policy of 6 weeks (30 working days)
Full Job Description
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.

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