Find Your Next Analytics Engineering Job
A curated list of analytics engineering job openings with details intelligently extracted by AI.
Filtering by tech: Databricks
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
- Data Pipeline Development
- Cloud Infrastructure Management
- Data Modeling and Schema Design
- Performance Optimization
- Collaboration with Data Scientists and Analysts
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.
- 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
- 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
- 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
IT Data Analytics Engineer I/II/III or Senior
Tri-State Generation and Transmission Association Westminster, CO
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Posted Jul 18, 2025
Posted Jul 18, 2025