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
- Collaborate with data scientists and analysts
- Build data models
- Ensure data quality and accuracy
- Monitor and troubleshoot data pipelines
Posted Aug 15, 2025
- 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
- Data analysis and interpretation
- ETL processes
- Data visualization and reporting
- Data quality and governance
- Collaboration with stakeholders
Posted Aug 15, 2025
- Design, build, and maintain data pipelines.
- Collaborate with stakeholders to understand data needs.
- Develop data models and ETL processes.
- Monitor and improve data quality and performance.
Posted Aug 14, 2025
- Develop data pipelines using Python, SQL, and cloud-based platforms.
- Collaborate with cross-functional teams to gather data requirements.
- Implement data quality checks and monitoring.
- Design and build scalable data models.
- Support data-driven decision-making by providing insights and visualizations.
Posted Aug 13, 2025
- 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
- Develop and deliver data and analytics solutions to business problems.
- Collaborate with multi-functional teams to gather requirements and translate them into technical specifications.
- Design, develop, and maintain data pipelines and data models.
- Apply data quality and validation techniques to ensure data accuracy and reliability.
Posted Aug 13, 2025
- Design, develop, and maintain data pipelines and ETL workflows.
- Collaborate with cross-functional teams to understand data requirements.
- Implement data quality checks and monitoring systems.
- Optimize data models and schemas for performance and scalability.
- Build and maintain data documentation and metadata.
Posted Aug 13, 2025
- Design, develop, and maintain scalable data pipelines using cloud-based technologies.
- Collaborate with cross-functional teams to understand data requirements and deliver data solutions.
- Implement data quality checks and monitoring to ensure data accuracy and reliability.
- Optimize data models and query performance for efficient data access and reporting.
- Develop and maintain data documentation and metadata.
Posted Aug 8, 2025
- Develop and maintain data pipelines and ETL processes.
- Design and build data models to support analytical and reporting needs.
- Collaborate with cross-functional teams to understand data requirements and deliver data-driven solutions.
- Ensure data quality and accuracy through data validation and monitoring.
- Optimize data infrastructure for performance and scalability.
Posted Aug 7, 2025
- Collaborating with cross-functional teams to define and execute data strategies that align with business goals.
- Designing, building, and maintaining scalable data infrastructure and pipelines.
- Implementing data governance and quality measures to ensure data accuracy and reliability.
- Developing and maintaining data models, ETL processes, and data warehouses.
- Staying current with industry trends and emerging technologies, and making recommendations for new technologies and approaches.
Posted Aug 7, 2025
- Advise our clients in the financial services industry on how to leverage data to gain a competitive edge.
- Support clients in defining their data and analytics strategy, designing their future data architecture, and implementing data solutions.
- Work with modern data technologies in the cloud (AWS, Azure, GCP) and on-premise.
- Develop data models, ETL pipelines, and data visualizations.
- Take responsibility for project modules and workstreams, and manage junior consultants.
Posted Aug 7, 2025
- Data Analysis
- Data Visualization
- Consulting with business partners
- Data pipeline development
- Data modeling
Posted Aug 6, 2025
- Data Analysis
- Data Visualization
- Data Modeling
- Requirements Gathering
- Agile Development
Posted Aug 6, 2025
- Data visualization and dashboard creation to monitor data quality, identify trends, and provide actionable insights to stakeholders
- Collaborate with cross-functional teams to understand data requirements and develop solutions
- Build and maintain data pipelines
- Support data governance and data quality initiatives
Posted Aug 6, 2025
- 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
- Build and maintain data pipelines
- Develop data models
- Collaborate with stakeholders
- Data Quality and Governance
- Performance Optimization
Posted Aug 5, 2025
- 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
- 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
- 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