Data Platform Engineer
Build the ingestion, storage and query layers that every team uses to reason about DigitalOcean's product suite.
1638 roles across 160 companies — filter by region or category.
Showing 50 of 229 matching positions (51–100)
Clear filtersBuild the ingestion, storage and query layers that every team uses to reason about DigitalOcean's product suite.
Own the lakehouse and streaming infrastructure underneath DoorDash's delivery network, with an eye on cost and freshness.
Own the lakehouse and streaming infrastructure underneath Drata's security platform, with an eye on cost and freshness.
Run experiments that push the model capabilities behind Elastic's developer platform, and publish or ship what works.
Train, evaluate and serve models that power Elastic's developer platform at production scale.
Optimise inference throughput and cost for the models running behind ElevenLabs's AI products.
Build the ingestion, storage and query layers that every team uses to reason about Enosis Solutions's product suite.
Own the lakehouse and streaming infrastructure underneath Figma's design platform, with an eye on cost and freshness.
Run experiments that push the model capabilities behind Fivetran's data platform, and publish or ship what works.
Probe model behaviour for failure modes and build the evaluations that gate releases across Fivetran's data platform.
Train, evaluate and serve models that power Fly.io's developer platform at production scale.
Own the lakehouse and streaming infrastructure underneath Fly.io's developer platform, with an eye on cost and freshness.
Own the transformation layer and semantic definitions behind reporting on Freshworks's product suite.
Own the transformation layer and semantic definitions behind reporting on FusionAuth's security platform.
Own the modelling loop behind GitHub's developer platform — features, training pipelines, offline evaluation and online experiments.
Design red-teaming and evaluation methodology for the models behind GitHub's developer platform, and turn results into mitigations.
Probe model behaviour for failure modes and build the evaluations that gate releases across GitLab's developer platform.
Investigate training, alignment and evaluation methods that make the models behind Glean's AI products more useful.
Build the ingestion, storage and query layers that every team uses to reason about Grafana Labs's developer platform.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Groq's AI products.
Own the transformation layer and semantic definitions behind reporting on Gusto's employment platform.
Own the lakehouse and streaming infrastructure underneath Harvey's AI products, with an eye on cost and freshness.
Model warehouse data into tested, documented datasets the whole company trusts when analysing HashiCorp's developer platform.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Hightouch's product suite.
Own the transformation layer and semantic definitions behind reporting on Hotjar's analytics platform.
Build the ingestion, storage and query layers that every team uses to reason about HubSpot's product suite.
Build the ingestion, storage and query layers that every team uses to reason about Instacart's commerce platform.
Optimise inference throughput and cost for the models running behind Instacart's commerce platform.
Build the ingestion, storage and query layers that every team uses to reason about Khan Academy's learning platform.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Khan Academy's learning platform.
Build the ingestion, storage and query layers that every team uses to reason about Klarna's financial platform.
Optimise inference throughput and cost for the models running behind Langfuse (ClickHouse)'s developer platform.
Train, evaluate and serve models that power Linear's developer platform at production scale.
Own the lakehouse and streaming infrastructure underneath Lovable's AI products, with an eye on cost and freshness.
Own the transformation layer and semantic definitions behind reporting on Mercury's financial platform.
Build the ingestion, storage and query layers that every team uses to reason about Mercury's financial platform.
Own the lakehouse and streaming infrastructure underneath Miro's product suite, with an eye on cost and freshness.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Miro's product suite.
Design red-teaming and evaluation methodology for the models behind Mistral AI's AI products, and turn results into mitigations.
Train, evaluate and serve models that power Modal's developer platform at production scale.
Own the transformation layer and semantic definitions behind reporting on Modal's developer platform.
Own the modelling loop behind MongoDB's developer platform — features, training pipelines, offline evaluation and online experiments.
Optimise inference throughput and cost for the models running behind Nagad's financial platform.
Own the transformation layer and semantic definitions behind reporting on Nagad's financial platform.
Own the modelling loop behind Nubank's financial platform — features, training pipelines, offline evaluation and online experiments.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Nubank's financial platform.
Own the transformation layer and semantic definitions behind reporting on Okta's security platform.
Own the lakehouse and streaming infrastructure underneath 1Password's security platform, with an eye on cost and freshness.
Train, evaluate and serve models that power 1Password's security platform at production scale.
Own the lakehouse and streaming infrastructure underneath Palo Alto Networks's security platform, with an eye on cost and freshness.
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