Find Your Next Analytics Engineering Job
A curated list of analytics engineering job openings with details intelligently extracted by AI.
Filtering by tech: Azure
Clear Filter- Data analysis and modeling to solve business problems
- Translate business needs into analytical questions and build end-to-end analytical solutions
- Communicate findings and recommendations to stakeholders
- Develop and maintain data pipelines and infrastructure
Posted Aug 1, 2025
- Data Architecture
- Data Modeling
- ETL/ELT Development
- Cloud Data Platform Implementation
- Data Governance
Posted Aug 1, 2025
- Develop and maintain data pipelines.
- Build data models and ETL processes.
- Design and implement data analytics solutions.
- Collaborate with stakeholders to understand data needs.
- Ensure data quality and accuracy.
Posted Aug 1, 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
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.
- 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 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
- 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
- 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 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 lake ecosystem design and implementation
- Data governance and security
- ETL pipeline development and maintenance
- Collaboration with stakeholders to understand data needs
- Performance optimization of data systems
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 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
- 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
Posted Jul 19, 2025
Posted Jul 19, 2025
Posted Jul 18, 2025
Posted Jul 18, 2025