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Clevertech
Actively Hiring
Some call it a job, we call it a dream501-1000 Employees
  • B2B
  • Scale Stage
    Rapidly increasing operations

Jobs at Clevertech

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Engineering

Senior Data Scientist

NewPosted 2 days ago

Senior Data Scientist

  • Partner with cross-functional teams to understand business goals and translate them into data-driven solutions.
  • Develop statistical and machine learning models that support decision-making across the business.
Engineering

Lead Data Engineer - Databricks (Remote)

NewPosted 2 days ago

Lead Data Engineer - Databricks (Remote)

  • Own the technical direction and architecture of data engineering projects
  • Design and build scalable, production-grade data pipelines using Databricks, PySpark, AWS, and SQL
Engineering

Integration Engineer

NewPosted 2 days ago

Integration Engineer

  • Embed directly with a client team as an autonomous, forward-deployed technical partner – navigating independently and flagging blockers early rather than waiting to be directed.
  • Build and maintain a prioritized discovery backlog in partnership with client stakeholders, reviewed and re-prioritized on a recurring cadence.
Engineering

Senior Databricks Engineer / Ingestion Lead

NewPosted 2 days ago

Senior Databricks Engineer / Ingestion Lead

  • Run source discovery across each system in scope, documenting data structures, change patterns, extraction constraints, data quality, and current-state integration topology.
  • Assess extraction options per source, including change data capture feasibility from PLM, JDBC access to Oracle E-Business Suite under its row-level security model, SQL Server change patterns, and file-based ingestion from S3.
Engineering

AI Engineer (Remote)

NewPosted 1 day ago

AI Engineer (Remote)

  • Design, build, and deploy AI models into production (not just prototypes or wrappers).
  • Develop and maintain backend Python services that power intelligent automation workflows.
Engineering

Senior Data Engineer - Databricks

NewPosted 2 days ago

Senior Data Engineer - Databricks

  • Design and implement scalable enterprise data platforms using Databricks and AWS.
  • Architect and oversee end-to-end data platform implementations.