Find Your Next Analytics Engineering Job
A curated list of analytics engineering job openings with details intelligently extracted by AI.
Filtering by tech: BigQuery
Clear Filter- Data Analysis and Interpretation
- Data Modeling and Pipeline Development
- Collaboration with Cross-Functional Teams
- Data Quality and Integrity
- Business Intelligence and Reporting
Posted Aug 13, 2025
- Design, build, and maintain data pipelines using Airflow, dbt, and BigQuery.
- Develop and maintain Looker dashboards and reports.
- Collaborate with data scientists, analysts, and engineers to understand data needs.
- Implement data quality monitoring and alerting.
- Contribute to data modeling and schema design.
Posted Aug 13, 2025
- 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
- Develop and maintain data pipelines for structured and unstructured data
- Design and build data models and schemas for optimal storage and retrieval
- Collaborate with cross-functional teams to understand data needs and deliver solutions
- Implement data quality monitoring and alerting
- Optimize data infrastructure for performance and scalability
Posted Aug 10, 2025
- 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
- Develop and maintain data pipelines using Airflow, dbt, and BigQuery.
- Design and implement data models to support analytical and reporting needs.
- Collaborate with cross-functional teams to understand data requirements and deliver data solutions.
- Build dashboards and visualizations using Looker to monitor data quality and business performance.
Posted Aug 7, 2025
- Data analysis and modeling to improve data center hardware quality, reliability, and operations.
- Develop metrics and dashboards to monitor and drive improvements in hardware performance.
- Collaborate with cross-functional teams (hardware engineering, supply chain, operations) to identify and address data-driven opportunities.
- Build data pipelines and infrastructure to support data analysis and reporting.
- Apply statistical methods and machine learning to predict and prevent hardware failures.
Posted Aug 7, 2025
- Building data pipelines and data models to support analytical needs.
- Collaborating with product managers, data scientists, and engineers.
- Maintaining and improving existing data infrastructure.
- Implementing data quality monitoring and alerting.
- Using analytics to understand user behavior and improve product features.
Posted Aug 6, 2025
- Data visualization and dashboard creation
- Stakeholder management and communication
- Marketing analytics and reporting
- Data analysis and insights generation
Posted Aug 6, 2025
- 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
- Develop and maintain data pipelines
- Design and implement data models
- Collaborate with stakeholders to understand data requirements
- Ensure data quality and reliability
- Optimize data infrastructure for performance
Posted Aug 4, 2025
- Design, build, and maintain our data warehouse
- Develop and maintain ETL pipelines
- Work closely with stakeholders to understand their data needs
- Build dashboards and reports to track key metrics
- Ensure data quality and accuracy
Posted Aug 4, 2025
- 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
- Lead a team of data scientists and analytics engineers focused on experimentation and digital analytics.
- Drive the development and execution of A/B testing strategies to optimize digital experiences.
- Collaborate with product managers, designers, and engineers to identify opportunities for experimentation and improvement.
- Build and maintain data pipelines and infrastructure to support experimentation and reporting.
- Communicate insights and recommendations to stakeholders through clear and compelling visualizations and presentations.
Posted Aug 1, 2025
- Data Architecture
- Stakeholder Management
- Data Governance
- Cloud Data Warehouse
- Data Modeling
Posted Aug 1, 2025
- Develop and maintain data models and data pipelines in our cloud data warehouse.
- Work closely with business stakeholders to understand their data needs and translate them into technical requirements.
- Collaborate with other engineers and data scientists to build and deploy data-driven solutions.
- Design, build, and maintain our Looker reporting environment.
- Ensure data quality and accuracy by implementing data validation and testing procedures.
Posted Jul 31, 2025
- Build and maintain data pipelines to ingest, transform, and load data from various sources into our data warehouse.
- Design and implement data models that support our business requirements and enable efficient data analysis.
- Develop and maintain data quality monitoring and alerting systems to ensure data accuracy and reliability.
- Collaborate with cross-functional teams to understand their data needs and provide data-driven solutions.
- Automate data processes and workflows to improve efficiency and scalability.
Posted Jul 30, 2025
- Develop and maintain data pipelines for ingesting data from various sources into our Data Warehouse.
- Build data models in our Data Warehouse that support analytical and operational use cases.
- Collaborate with product managers, data scientists, and other stakeholders to understand their data needs and translate them into technical requirements.
- Develop and maintain Looker dashboards and reports that provide insights into our business.
- Continuously improve our data infrastructure and processes to ensure data quality, reliability, and scalability.
Posted Jul 30, 2025
- 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
- Develop data pipelines using SQL and Python to ingest, transform, and load data into the data warehouse.
- Develop data models and schemas in the data warehouse to support business requirements.
- Develop dashboards and visualizations using BI tools such as Tableau to provide insights to business users.
- Collaborate with other engineers, data scientists, and business users to understand data requirements and develop solutions.
- Participate in code reviews and contribute to the development of coding standards and best practices.
Posted Jul 29, 2025
- 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
- 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
- Develop and maintain data models and pipelines to enable data-driven decision-making.
- Collaborate with cross-functional teams to understand data needs and translate them into technical solutions.
- Build and maintain data documentation, data dictionaries, and data lineage to ensure data quality and accessibility.
- Optimize data pipelines and data models for performance, scalability, and reliability.
Posted Jul 24, 2025
- Develop and maintain data models using dbt.
- Build and maintain data pipelines to ingest data from various sources into our data warehouse.
- Collaborate with stakeholders to understand their data needs and translate them into technical requirements.
- Design and implement data visualizations and dashboards using Looker.
- Ensure data quality and accuracy by implementing data validation and monitoring processes.
Posted Jul 24, 2025
- Build and maintain data models in our data warehouse using dbt
- Build dashboards and visualizations in Looker
- Write complex SQL queries to transform data
- Collaborate with product managers, engineers, and customer success to understand data needs
Posted Jul 23, 2025
- Develop and maintain our data warehouse using BigQuery, dbt, and Python.
- Work closely with data analysts and other stakeholders to understand their data needs and translate them into technical solutions.
- Implement data quality monitoring and alerting to ensure data accuracy and reliability.
- Collaborate with other data engineers to improve our data infrastructure and processes.
- Document our data warehouse and data pipelines.
Posted Jul 23, 2025
- Develop, implement, and maintain data pipelines using various tools and technologies.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Apply data mining and machine learning techniques to extract insights and develop predictive models.
- Ensure data quality and integrity by implementing data validation and monitoring processes.
Posted Jul 21, 2025
- 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
Posted Jul 19, 2025