Find Your Next Analytics Engineering Job

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

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  • Develop and maintain data pipelines.
  • Design and implement data models.
  • Collaborate with stakeholders to understand data needs.
  • Ensure data quality and accuracy.
  • Optimize data infrastructure for performance.
Posted Aug 2, 2025
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  • Data Pipeline Development
  • Cloud Infrastructure Management
  • Data Modeling and Schema Design
  • Performance Optimization
  • Collaboration with Data Scientists and Analysts
Posted Jul 31, 2025
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  • Design, develop, test, and maintain scalable data pipelines.
  • Build data expertise and partner with product managers and data scientists.
  • Implement monitoring and alerting to ensure data reliability.
  • Collaborate with other engineers to improve our data platform.
Posted Jul 31, 2025
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  • Develop and maintain data pipelines.
  • Build data models and schemas in cloud data warehouse.
  • Collaborate with other teams to understand data needs.
  • Monitor and troubleshoot data pipeline performance.
  • Implement data quality checks and monitoring.
Posted Jul 30, 2025
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  • Develop and maintain data pipelines and ETL processes.
  • Design and implement data models and data warehouses.
  • Collaborate with stakeholders to understand data needs and translate them into technical solutions.
  • Ensure data quality and accuracy through data validation and testing.
  • Utilize cloud-based data platforms and services.
Posted Jul 30, 2025
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  • Develop data pipelines for data ingestion, transformation, and aggregation in a cloud environment (GCP preferred).
  • Design and develop data models to support analytical and reporting needs.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
  • Implement data quality checks and monitoring to ensure data accuracy and reliability.
  • Optimize data pipelines and queries for performance and scalability.
Posted Jul 30, 2025
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  • Develop and maintain data pipelines and ETL processes.
  • Design, develop, and maintain data models.
  • Collaborate with business users to gather requirements and translate them into technical specifications.
  • Perform data analysis and quality assurance to ensure data accuracy and integrity.
  • Develop and maintain documentation for data processes and systems.
Posted Jul 29, 2025
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  • Design, develop, and maintain data pipelines and ETL workflows to ingest, transform, and load data from various sources into our data warehouse.
  • Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and translate them into technical solutions.
  • Build and maintain data models and data dictionaries to ensure data consistency and quality.
  • Develop and maintain data quality monitoring and alerting systems to identify and resolve data issues.
  • Stay up-to-date with the latest trends and technologies in data engineering and advanced analytics.
Posted Jul 28, 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.
  • Design and implement data models.
  • Collaborate with stakeholders to understand data needs.
  • Ensure data quality and accuracy.
  • Automate data processes.
Posted Jul 27, 2025
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  • Develop and maintain data pipelines using tools like dbt and Python.
  • Design and build data models in cloud data warehouses such as Snowflake.
  • Collaborate with stakeholders to gather requirements and translate them into technical solutions.
  • Implement data quality checks and monitoring to ensure data accuracy and reliability.
Posted Jul 25, 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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  • Develop and maintain data pipelines for pricing optimization.
  • Collaborate with data scientists and business stakeholders.
  • Ensure data quality and reliability.
  • Apply analytics to improve pricing strategies.
Posted Jul 23, 2025
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  • Data collection, integration, and modeling from manufacturing operations data sources
  • Develop and maintain data pipelines using cloud-based data engineering tools
  • Collaborate with cross-functional teams to define data requirements and deliver data-driven solutions
  • Develop data visualizations and dashboards to monitor key performance indicators (KPIs) and identify areas for improvement
  • Ensure data quality and accuracy through data validation and testing
Posted Jul 23, 2025
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  • Design, develop, and maintain data pipelines using cloud-based technologies to support data transformation, data structures, metadata, dependency and workload management.
  • Develop and implement data models, schemas, and ETL processes to support data warehousing and business intelligence needs.
  • Ensure data quality and integrity by implementing data validation rules, monitoring data pipelines, and resolving data issues.
  • Collaborate with cross-functional teams to understand data requirements and provide data solutions that meet business needs.
  • Stay current with emerging data technologies and trends and make recommendations for new technologies and approaches to improve data management and analytics.
Posted Jul 22, 2025
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  • Data analysis and problem-solving
  • Data visualization and presentation
  • Collaboration with cross-functional teams
  • Data manipulation and transformation
  • Data quality and governance
Posted Jul 22, 2025
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  • Data Pipelines: Design, develop, and maintain robust data pipelines.
  • Data Modeling: Create and optimize data models.
  • Stakeholder Collaboration: Work closely with stakeholders to understand their requirements.
  • BI Solutions: Develop insightful BI solutions and reporting dashboards.
  • Data Quality: Ensure data accuracy and reliability.
Posted Jul 22, 2025
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  • Develop and maintain data pipelines and ETL processes.
  • Collaborate with business partners to understand data requirements.
  • Design and implement data models and reporting solutions.
  • Ensure data quality and accuracy.
  • Utilize analytical and data visualization tools
Posted Jul 22, 2025
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  • Design, develop, and maintain data pipelines using cloud-based technologies.
  • Collaborate with data scientists and analysts to understand data requirements.
  • Implement data quality checks and monitoring to ensure data accuracy and reliability.
  • Build and maintain data documentation and metadata.
  • Optimize data pipelines for performance and scalability.
Posted Jul 21, 2025
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