Find Your Next Analytics Engineering Job

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

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  • Data modeling
  • Data architecture
  • ETL processes
  • Data warehousing solutions
  • Collaboration with stakeholders
Posted Aug 16, 2025
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  • Develop data pipelines using cloud technologies (AWS, GCP).
  • Collaborate with product managers, data scientists, and other engineers.
  • Apply knowledge of data modeling, data access, and data storage techniques.
  • Ensure data quality and implement monitoring solutions.
  • Build data products
Posted Aug 15, 2025
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  • Develop and maintain data pipelines to support analytical needs.
  • Collaborate with product and engineering teams to integrate data solutions.
  • Apply data governance standards and ensure data quality.
  • Contribute to the design and implementation of data models.
  • Use analytical and data visualisation tools to provide insights.
Posted Aug 15, 2025
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  • Capacity planning
  • Data analysis
  • Develop data pipelines and reporting
  • Collaborate with engineering teams
  • Drive data-informed decisions
Posted Aug 14, 2025
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  • Develop data pipelines using Python, Spark, and SQL.
  • Design and implement data models in Snowflake.
  • Automate data quality checks and monitoring.
  • Collaborate with data scientists and business analysts.
  • Build and maintain data documentation.
Posted Aug 13, 2025
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  • Building and maintaining data pipelines
  • Designing and implementing data models
  • Collaborating with engineering and product teams
  • Ensuring data quality and reliability
Posted Aug 13, 2025
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  • Translate ambiguous problem statements into actionable goals and execution plans.
  • Design and build data pipelines to power critical business workflows.
  • Partner with product, engineering, and business stakeholders to deliver impact.
  • Drive data quality across all our data pipelines.
  • Provide technical mentorship to other data engineers.
Posted Aug 10, 2025
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  • Design, develop, and maintain scalable data pipelines.
  • Partner with business teams to understand data requirements.
  • Build data models and schemas.
  • Implement data quality monitoring and alerting.
  • Drive data literacy and best practices.
Posted Aug 10, 2025
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  • Data Lakehouse Architecture
  • Data Modeling
  • Data Governance
  • Azure Data Services
  • ETL/ELT Pipelines
Posted Aug 10, 2025
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  • Build and maintain data pipelines
  • Develop data models and schemas
  • Collaborate with stakeholders to understand data needs
  • Ensure data quality and accuracy
  • Monitor and optimize data pipeline performance
Posted Aug 6, 2025
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  • Design, develop, and maintain scalable data pipelines.
  • Collaborate with data scientists and business stakeholders.
  • Implement data governance and quality standards.
  • Automate data validation and monitoring processes.
Posted Aug 6, 2025
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  • Lead a team of data and analytics engineers
  • Drive data strategy and governance
  • Build and maintain data pipelines
  • Implement data quality and security measures
Posted Aug 6, 2025
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  • Build and maintain data pipelines to ingest and transform data from various sources into our data warehouse.
  • Develop data models that are intuitive and insightful for end-users.
  • Collaborate with cross-functional teams to understand their data needs and translate them into technical solutions.
  • Design, build, and maintain Looker dashboards and reports that provide insights into acquisition performance.
Posted Aug 5, 2025
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  • Develop and maintain data pipelines
  • Collaborate with product and engineering teams
  • Ensure data quality and reliability
  • Build data models and schemas
  • Contribute to data strategy and best practices
Posted Aug 4, 2025
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  • Build, lead, and mentor a team of data scientists and engineers.
  • Drive the development and execution of a comprehensive data strategy.
  • Partner with business stakeholders to identify opportunities.
  • Communicate findings and recommendations to technical and non-technical audiences.
Posted Aug 4, 2025
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  • Build data pipelines that transform raw data into actionable insights
  • Develop reporting and visualization tools to monitor key business metrics
  • Collaborate with cross-functional teams to understand data needs and deliver solutions
  • Apply data modeling techniques to ensure data quality and consistency
Posted Aug 2, 2025
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  • Design, build, and maintain data pipelines and data models.
  • Collaborate with cross-functional teams to understand their data needs.
  • Build data visualizations and dashboards.
  • Automate data quality checks and alerts.
  • Mentor other engineers and promote best practices.
Posted Aug 2, 2025
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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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