Find Your Next Analytics Engineering Job
A curated list of analytics engineering job openings with details intelligently extracted by AI.
Filtering by tech: Airflow
Clear Filter- 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
- Building and maintaining data pipelines to support decision-making for Factory operations.
- Developing data models and dashboards to track key performance indicators (KPIs) and identify areas for improvement.
- Collaborating with cross-functional teams, including Factory operations, engineering, and product, to understand their data needs and provide actionable insights.
Posted Aug 1, 2025
- Data lake development and management
- Building data pipelines
- Data modeling
- Collaboration with stakeholders
- Data quality and governance
Posted Aug 1, 2025
- Develop and execute a roadmap for automating data quality checks and anomaly detection across our data pipelines.
- Build and maintain data pipelines that ingest, transform, and load data from various sources into our data warehouse.
- Partner with data scientists, analysts, and product managers to understand their data needs and provide them with the data they need to make informed decisions.
- Implement and maintain data governance policies and procedures to ensure data quality, consistency, and security.
Posted Aug 1, 2025
- Design, develop, and maintain data pipelines and ETL processes to ingest, transform, and load data from various sources into our data warehouse.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
- Build and maintain data models and schemas that support business intelligence and analytics initiatives.
- Develop and implement data quality monitoring and alerting systems to ensure data accuracy and reliability.
- Optimize data warehouse performance through query optimization, indexing, and partitioning strategies.
Posted Aug 1, 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
- Develop and maintain data pipelines and ETL processes
- Design and implement data models and data warehouses
- Collaborate with stakeholders to understand data requirements
- Ensure data quality and accuracy
- Monitor and troubleshoot data pipeline performance
Posted Aug 1, 2025
- Build and maintain data pipelines
- Design and develop data models
- Collaborate with stakeholders to understand data needs
- Monitor data quality and resolve data issues
- Implement data governance best practices
Posted Aug 1, 2025
- Build and maintain data pipelines
- Develop and maintain data models
- Partner with product and engineering teams
- Ensure data quality
- Contribute to data governance
Posted Aug 1, 2025
- 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
- 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
- Build and maintain data pipelines.
- Develop data models.
- Work closely with product, engineering, and business teams.
- Contribute to data-informed decision-making.
- Monitor data quality and implement improvements.
Posted Aug 1, 2025
- Build and maintain data pipelines.
- Develop and maintain data models.
- Implement data quality monitoring.
- Collaborate with stakeholders to understand data needs.
Posted Aug 1, 2025
- Data Pipeline Development
- Cloud Infrastructure Management
- Data Modeling and Schema Design
- Performance Optimization
- Collaboration with Data Scientists and Analysts
Posted Jul 31, 2025
- Develop and maintain data pipelines.
- Build and maintain data models.
- Collaborate with stakeholders to understand data needs.
- Ensure data quality and accuracy.
Posted Jul 31, 2025
- Develop and maintain data pipelines
- Build data models
- Collaborate with stakeholders to understand data needs
- Implement data quality monitoring
- Optimize data infrastructure
Posted Jul 31, 2025
- Build data pipelines to support reporting and analytics.
- Provide support and documentation to users of the data platform.
- Collaborate with cross-functional teams to understand data requirements.
- Monitor data quality and identify areas for improvement.
Posted Jul 31, 2025
- 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
- Develop and maintain data pipelines using Python and SQL.
- Design and implement data models in Snowflake.
- Build dashboards and visualizations in Looker.
- Collaborate with stakeholders to understand data needs.
- Automate data quality checks and monitoring.
Posted Jul 31, 2025
- Build and maintain data pipelines
- Develop and maintain data models
- Collaborate with stakeholders
- Data visualization and dashboarding
Posted Jul 31, 2025
- 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
- Drive the roadmap and execution for our data analytics infrastructure
- Build and maintain data pipelines to ingest data from various sources
- Develop and maintain data models and BI dashboards
- Collaborate with cross-functional teams
- Ensure data quality and accuracy
Posted Jul 30, 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
- 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
- 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 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
- Design, build, and maintain data pipelines and data models in our data warehouse (Snowflake)
- Collaborate with product managers, data scientists, and analysts to understand their data needs and translate them into technical solutions
- Develop and maintain data quality monitoring and alerting systems to ensure data accuracy and reliability
- Help improve our data infrastructure by identifying opportunities for automation, optimization, and standardization
- Contribute to our team's knowledge base by documenting best practices, creating training materials, and conducting knowledge sharing sessions
Posted Jul 30, 2025
- Develop and maintain data pipelines and ETL processes.
- Design and implement data models and data warehouses.
- Collaborate with stakeholders to understand data requirements.
- Ensure data quality and accuracy.
- Utilize cloud-based data platforms and tools.
Posted Jul 29, 2025
- 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
- Build and lead a team of analytics engineers
- Partnering with data scientists, product managers, and engineers to understand data needs
- Develop and maintain data models in our data warehouse (Snowflake)
- Build data pipelines using tools like Fivetran and dbt
- Help define Zocdoc’s data strategy
Posted Jul 27, 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
- Develop and maintain data pipelines and ETL processes to ingest, transform, and load data from various sources into our data warehouse.
- Design, build, and maintain scalable and reliable data models and data warehouses to support our business needs.
- Collaborate with cross-functional teams to understand their data needs and provide data-driven solutions.
- Develop and maintain data quality monitoring and alerting systems to ensure data accuracy and reliability.
- Implement data governance policies and procedures to ensure data security and compliance.
Posted Jul 26, 2025
- Build data pipelines that ingest, transform, and load data from a variety of sources into our data warehouse.
- Design and develop data models that are scalable, maintainable, and optimized for performance.
- Collaborate with cross-functional teams to understand their data needs and translate them into technical requirements.
- Implement data quality monitoring and alerting to ensure data accuracy and reliability.
- Develop and maintain documentation for data pipelines, data models, and data dictionaries.
Posted Jul 26, 2025
- Develop and maintain data pipelines using tools like dbt, ensuring data quality and reliability.
- Collaborate with data scientists and analysts to understand data needs and translate them into technical solutions.
- Build and maintain data models in our data warehouse (Snowflake) to support analytical needs.
- Monitor and troubleshoot data pipeline performance, identifying and resolving issues promptly.
Posted Jul 26, 2025
- 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
- Design and develop data models optimized for analytics within our data warehouse (Snowflake).
- Build and maintain data pipelines using Airflow, dbt, and Python.
- Partner with business stakeholders to understand their data needs and translate them into technical solutions.
- Implement data quality monitoring and alerting to ensure data accuracy and reliability.
Posted Jul 25, 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
- Design, develop, and maintain data pipelines using tools like dbt and Airflow to ensure efficient data transformation and loading.
- Collaborate with cross-functional teams to understand data requirements and translate them into scalable and reliable data solutions.
- Implement data quality checks and monitoring systems to ensure data accuracy and consistency.
- Optimize data warehouse performance through query tuning, indexing, and partitioning strategies.
- Contribute to the development of data governance policies and standards to ensure data security and compliance.
Posted Jul 24, 2025
- Build and maintain data pipelines
- Develop data models
- Collaborate with stakeholders
- Drive data quality and reliability
Posted Jul 24, 2025
- 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
- Build and maintain data pipelines and ETL processes.
- Develop and maintain data models.
- Collaborate with stakeholders to understand data needs.
- Ensure data quality and accuracy.
- Design and implement data solutions.
Posted Jul 23, 2025
- Design, build, and maintain data pipelines using Python, SQL, and Airflow.
- Develop data models and schemas in Snowflake.
- Collaborate with data scientists and business analysts to understand data requirements.
- Implement data quality checks and monitoring.
- Optimize data pipelines for performance and scalability.
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 and maintain data pipelines and data models.
- Collaborate with stakeholders to understand data requirements.
- Ensure data quality and consistency.
- Design and implement data solutions using cloud technologies.
- Optimize data infrastructure for performance and scalability.
Posted Jul 23, 2025
- Build and maintain data pipelines for analytics and machine learning.
- Develop data models in our data warehouse (Snowflake) to support internal and external stakeholders.
- Help build Pano AI's data architecture, balancing performance, cost, and maintainability.
- Collaborate with engineers, product managers, and other stakeholders to understand their data needs and deliver high-quality data products.
Posted Jul 23, 2025
- Develop and maintain data models, pipelines, and BI dashboards.
- Collaborate with stakeholders to understand data needs and translate them into technical solutions.
- Build and maintain data pipelines using tools like Airflow and dbt.
- Monitor data quality and implement solutions to ensure data accuracy and reliability.
Posted Jul 23, 2025
- Develop and maintain data pipelines using Airflow.
- Design, build, and maintain data models in Snowflake.
- Collaborate with data scientists and business stakeholders.
- Ensure data quality and reliability.
- Implement data governance best practices.
Posted Jul 23, 2025
- Build and maintain data pipelines and data models in our cloud data warehouse
- Collaborate with data scientists, analysts and engineers to understand their data needs and translate them into technical solutions
- Automate data quality checks and monitoring to ensure data accuracy and reliability
- Contribute to the development of our data engineering standards and best practices
Posted Jul 23, 2025
- 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
- Develop and maintain data pipelines
- Design and build data models
- Collaborate with stakeholders to understand data needs
- Ensure data quality and reliability
Posted Jul 22, 2025
- 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
- Design, develop, and maintain scalable data pipelines using Snowflake, dbt, and Python.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
- Build and maintain data models and transformations to support business intelligence and analytics.
- Monitor data quality and performance, identifying and resolving issues proactively.
- Contribute to the development of data engineering best practices and standards.
Posted Jul 21, 2025
- Build and maintain data pipelines using Python and SQL.
- Design and develop dashboards and visualizations in Looker.
- Collaborate with stakeholders to define key metrics and reporting needs.
- Ensure data quality and accuracy through testing and validation.
- Automate data processes and improve efficiency.
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
- Design, develop, and maintain data models and ETL pipelines.
- Collaborate with cross-functional teams to understand data requirements.
- Monitor and improve data quality and performance.
- Implement data governance and security best practices.
Posted Jul 21, 2025
- Build data pipelines to scale data collection and processing
- Develop data models and schemas in our data warehouse
- Collaborate with data scientists and analysts to empower data-driven decision-making
- Implement data quality checks and monitoring
- Automate data integration and ETL processes
Posted Jul 21, 2025
- Develop and maintain data pipelines
- Work with product and engineering teams to understand data needs
- Implement data quality checks and monitoring
- Build data models and dashboards
- Collaborate with stakeholders to define key metrics
Posted Jul 21, 2025
- Data pipeline development and maintenance
- Data modeling and schema design
- Collaboration with stakeholders to understand data needs
- Performance optimization of data infrastructure
- Data quality monitoring and improvement
Posted Jul 21, 2025
- Leading and mentoring a team of Analytics Engineers.
- Driving best practices in data modeling, ETL processes, and data quality.
- Collaborating with cross-functional teams to understand data needs and translate them into technical solutions.
- Developing and maintaining data pipelines and infrastructure.
- Ensuring data is accurate, reliable, and accessible for analysis and decision-making.
Posted Jul 20, 2025
- Data governance
- Data quality
- Metadata management
- Data catalog
- Data lineage
Posted Jul 20, 2025
- Data Modeling
- ETL pipelines
- Data Infrastructure
- Stakeholder communication
Posted Jul 20, 2025
Posted Jul 19, 2025
Posted Jul 19, 2025