ML Data Engineer
#poweringyouringenuity 🚀
Our mission is to bridge top-level technology companies with engineering talent from across the globe. With presence in LATAM, USA and Europe, we empower companies by providing remote engineering teams of all levels tailored to the needs of each project.
Our teams are passionate about technology and thrive on challenges. We value technical expertise and a willingness to learn new things. Each development is tailored to the needs of each project, so being passionate about learning and using new languages, tools, and frameworks is part of our DNA. Our software engineering teams focus on best coding practices to ensure readability, reusability, and scalability of our systems' designs and developments.
We're looking for a Senior Data Engineer to join one of our Machine Learning Platform projects. This is a high-impact role where you'll help shape the data infrastructure that powers the full ML application development lifecycle, from data ingestion and annotation to exploration and platform support.
You'll work side by side with roboticists, backend engineers, and platform teams, bringing both technical depth and a collaborative mindset to solve complex data challenges at scale.
What you'll do
Monitor, investigate, and resolve issues across data ingestion pipelines, and go beyond firefighting to implement lasting solutions.
Act as a data expert: optimize queries, contribute to data architecture decisions, and help teams get the most out of their data.
Provide infrastructure support that improves scalability, stability, and security across internal systems.
Raise the bar for code quality through automation, unit testing, and thoughtful code reviews.
Document code, design decisions, and data sources so your work is maintainable and your teammates can build on it.
Collaborate across disciplines to untangle complex data challenges, and enjoy doing it.
What we're looking for
5+ years of experience as a Data Engineer, with a strong background in data infrastructure.
Solid problem-solving skills and the ability to juggle multiple priorities without dropping the ball.
Experience designing and maintaining data pipelines with an eye for performance and reliability.
A proactive, ownership-driven attitude, you spot problems before they escalate.
Strong English communication skills (B2/C1). You'll work closely with cross-functional teams and need to articulate both technical and non-technical ideas clearly.
It'd be great if you also have
Experience supporting ML platforms or working alongside data science/ML teams.
Familiarity with cloud platforms (AWS, GCP, or Azure).
Knowledge of observability tools, logging, metrics, and tracing.
A track record of improving system reliability through automation and monitoring.
Join us to be part of a dynamic community where your skills and contributions truly matter!
Apply To This Job
Our mission is to bridge top-level technology companies with engineering talent from across the globe. With presence in LATAM, USA and Europe, we empower companies by providing remote engineering teams of all levels tailored to the needs of each project.
Our teams are passionate about technology and thrive on challenges. We value technical expertise and a willingness to learn new things. Each development is tailored to the needs of each project, so being passionate about learning and using new languages, tools, and frameworks is part of our DNA. Our software engineering teams focus on best coding practices to ensure readability, reusability, and scalability of our systems' designs and developments.
We're looking for a Senior Data Engineer to join one of our Machine Learning Platform projects. This is a high-impact role where you'll help shape the data infrastructure that powers the full ML application development lifecycle, from data ingestion and annotation to exploration and platform support.
You'll work side by side with roboticists, backend engineers, and platform teams, bringing both technical depth and a collaborative mindset to solve complex data challenges at scale.
What you'll do
Monitor, investigate, and resolve issues across data ingestion pipelines, and go beyond firefighting to implement lasting solutions.
Act as a data expert: optimize queries, contribute to data architecture decisions, and help teams get the most out of their data.
Provide infrastructure support that improves scalability, stability, and security across internal systems.
Raise the bar for code quality through automation, unit testing, and thoughtful code reviews.
Document code, design decisions, and data sources so your work is maintainable and your teammates can build on it.
Collaborate across disciplines to untangle complex data challenges, and enjoy doing it.
What we're looking for
5+ years of experience as a Data Engineer, with a strong background in data infrastructure.
Solid problem-solving skills and the ability to juggle multiple priorities without dropping the ball.
Experience designing and maintaining data pipelines with an eye for performance and reliability.
A proactive, ownership-driven attitude, you spot problems before they escalate.
Strong English communication skills (B2/C1). You'll work closely with cross-functional teams and need to articulate both technical and non-technical ideas clearly.
It'd be great if you also have
Experience supporting ML platforms or working alongside data science/ML teams.
Familiarity with cloud platforms (AWS, GCP, or Azure).
Knowledge of observability tools, logging, metrics, and tracing.
A track record of improving system reliability through automation and monitoring.
Join us to be part of a dynamic community where your skills and contributions truly matter!
Apply To This Job