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Job details

Data Engineer/MLOps Engineer

Job Summary

A company is looking for a Data Engineer/MLOps Engineer to support product teams in delivering data-driven solutions.

Key Responsibilities
  • Collaborate with product teams to implement scalable data pipelines and ML workflows
  • Guide teams in adopting best practices for data engineering and MLOps
  • Enhance data and ML infrastructure focusing on usability and efficiency
Required Qualifications
  • Strong knowledge of data system design and problem-solving
  • Proficiency in Python and software engineering best practices
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Familiarity with Infrastructure as Code tools (Terraform or similar)
  • Experience with distributed data-processing frameworks (e.g., Spark, Flink)

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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MATCH
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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
May 8, 2025

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