Find Your Next Analytics Engineering Job

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

Filtering by tech: Spark
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  • Data lake development and management
  • Building data pipelines
  • Data modeling
  • Collaboration with stakeholders
  • Data quality and governance
Posted Aug 1, 2025
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  • Partner with product, data science, and engineering teams to deeply understand their data needs and translate them into scalable and reliable data models.
  • Develop and maintain data pipelines using technologies like Spark, Flink, and Airflow.
  • Build data visualizations and dashboards using tools like Tableau and Looker to monitor data quality and identify trends.
  • Collaborate with other data engineers and data scientists to improve our data infrastructure and tooling.
  • Mentor junior data engineers and share your knowledge with the team.
Posted Aug 1, 2025
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  • Develop and maintain data pipelines to ingest, transform, and load data.
  • Build data models and schemas to support data analysis and reporting.
  • Collaborate with data scientists, analysts, and engineers to understand data needs and deliver solutions.
  • Implement data quality checks and monitoring to ensure data accuracy and reliability.
  • Design and implement data governance policies and procedures.
Posted Aug 1, 2025
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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, 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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  • Build and maintain data pipelines
  • Design and implement data models
  • Collaborate with stakeholders to understand data needs
  • Ensure data quality and accuracy
  • Drive the adoption of new data technologies
Posted Jul 30, 2025
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  • Design, develop, and maintain data pipelines and ETL processes.
  • Build and maintain data models, schemas, and dictionaries.
  • Collaborate with stakeholders to understand data needs and translate them into technical requirements.
  • Ensure data quality and integrity through monitoring, validation, and testing.
  • Contribute to the development of data governance policies and procedures.
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 data products and pipelines to empower data-driven decision-making across the company.
  • Partner with cross-functional teams to understand their data needs and translate them into technical solutions.
  • Design, build, and maintain scalable and reliable data infrastructure.
  • Ensure data quality and accuracy through rigorous testing and monitoring.
  • Mentor junior engineers and contribute to the team's knowledge sharing.
Posted Jul 30, 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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  • Lead a team of Analytics Engineers that partners with the Ads business to drive data-informed decision-making.
  • Design, build, and maintain data models, pipelines, and dashboards to support the Ads business.
  • Collaborate with cross-functional teams of Data Scientists, Product Managers, and Engineers to identify and prioritize opportunities to improve the Ads business.
  • Communicate insights and recommendations to stakeholders at all levels of the organization.
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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  • Build and maintain data pipelines
  • Collaborate with product and engineering teams
  • Develop Looker dashboards and visualizations
  • Design and implement data models
  • Ensure data quality and accuracy
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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  • Design, develop, and maintain data pipelines to ingest and transform data from various sources into our data warehouse.
  • Build and maintain data models that are scalable, reliable, and well-documented.
  • Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide solutions.
  • Implement data quality monitoring and alerting to ensure data accuracy and reliability.
  • Optimize data pipelines and queries for performance and cost efficiency.
Posted Jul 24, 2025
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  • Design, build and support data pipelines powering critical business workflows and insights
  • Partner with other data engineers, data scientists, and business stakeholders to understand data requirements
  • Build data products with a focus on data quality, reliability, and maintainability
  • Contribute to the team’s technical roadmap and promote best practices
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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  • Design, develop, and maintain data pipelines and ETL workflows.
  • Collaborate with data scientists and analysts to understand their data requirements.
  • Monitor and troubleshoot data pipeline performance and data quality.
  • Implement data governance and data security best practices.
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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  • 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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  • Data Modeling
  • ETL pipelines
  • Data Infrastructure
  • Stakeholder communication
Posted Jul 20, 2025
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