Find Your Next Analytics Engineering Job

A curated list of analytics engineering job openings with details intelligently extracted by AI.

Filtering by tech: Redshift
Clear Filter
  • Data lake development and management
  • Building data pipelines
  • Data modeling
  • Collaboration with stakeholders
  • Data quality and governance
Posted Aug 1, 2025
0
0
  • Data Architecture
  • Stakeholder Management
  • Data Governance
  • Cloud Data Warehouse
  • Data Modeling
Posted Aug 1, 2025
0
0
  • 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
0
0
  • Develop and maintain scalable data pipelines using AWS services.
  • Collaborate with data scientists and business stakeholders to understand data requirements.
  • Implement data quality checks and monitoring to ensure data accuracy and reliability.
  • Design and build data models for optimal storage and retrieval.
  • Automate data integration and ETL processes.
Posted Jul 25, 2025
0
0
  • Design, develop, and maintain scaled, automated, user-friendly systems, reports, dashboards, etc., that will support our and partner teams’ analytical and business needs.
  • Use data to develop insights that guide the strategy and tactics of the organization.
  • Interface with business customers, gathering requirements and delivering complete reporting solutions.
  • Analyze large datasets, identify trends, and translate data into actionable insights.
  • Collaborate with data engineers to improve data quality and availability.
Posted Jul 25, 2025
0
0
  • Design, develop, and maintain scalable and reliable data pipelines that ingest, transform, and load data from various sources into our data warehouse.
  • Implement data quality checks and monitoring to ensure data accuracy and consistency.
  • Collaborate with data scientists, analysts, and product managers to understand their data needs and provide solutions.
  • Develop and maintain data models that meet the evolving needs of the business.
  • Automate data processes to improve efficiency and reduce manual effort.
Posted Jul 24, 2025
0
0
  • 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
0
0
  • Develop and maintain scalable data pipelines using AWS services.
  • Design and develop BI dashboards and reports to provide actionable insights.
  • Collaborate with stakeholders to understand data requirements and deliver data solutions.
  • Apply data modeling techniques to create efficient and effective data structures.
Posted Jul 22, 2025
0
0