Find Your Next Analytics Engineering Job

A curated list of analytics engineering job openings with details intelligently extracted by AI.

Filtering by tech: Kafka
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  • Building data pipelines to ingest and process large datasets.
  • Developing data models and schemas for optimal storage and retrieval.
  • Collaborating with stakeholders to understand data requirements.
  • Implementing data quality checks and monitoring systems.
  • Optimizing data infrastructure for performance and scalability.
Posted Aug 1, 2025
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  • Data Modeling
  • Data Governance
  • ETL pipeline development
  • Stakeholder collaboration
Posted Aug 1, 2025
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  • Design, develop, and support data pipelines and data models.
  • Collaborate with cross-functional teams to understand data needs and deliver solutions.
  • Apply data governance policies and ensure data quality.
  • Build scalable and reliable data solutions using cloud technologies.
  • Drive innovation in data engineering practices.
Posted Jul 29, 2025
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  • Lead the design, development, and implementation of complex data solutions.
  • Provide technical leadership and guidance to a team of engineers.
  • Ensure data quality, security, and compliance with regulatory requirements.
  • Collaborate with stakeholders to understand business needs and translate them into technical requirements.
  • Drive innovation and adoption of new technologies and methodologies.
Posted Jul 29, 2025
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  • Develop and maintain data pipelines.
  • Collaborate with data scientists and business stakeholders.
  • Ensure data quality and reliability.
  • Design and implement data models.
Posted Jul 27, 2025
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  • Develop and maintain data pipelines to ingest, transform, and load data into the data warehouse.
  • Collaborate with data scientists and analysts to understand their data needs and provide solutions.
  • Implement data quality checks and monitoring to ensure data accuracy and reliability.
  • Design, develop, and maintain data models and schemas for the data warehouse.
  • Optimize data warehouse performance and scalability.
Posted Jul 25, 2025
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  • Build data pipelines to ingest data from various sources into the cloud data warehouse.
  • Develop data models and transformations using dbt to support business requirements.
  • Collaborate with stakeholders to understand data needs and translate them into technical solutions.
  • Implement data quality checks and monitoring to ensure data accuracy and reliability.
  • Optimize data pipelines and queries for performance and scalability.
Posted Jul 24, 2025
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  • Manage and mentor a team of software and data engineers.
  • Design, develop, and maintain data pipelines for site analytics.
  • Collaborate with product managers, analysts, and other stakeholders.
  • Ensure data quality and reliability.
  • Drive innovation in data engineering practices.
Posted Jul 22, 2025
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