About the Role
The Data Engineer will build and optimize data pipelines, ensuring reliable access to high-quality data for analytics and reporting purposes.
Responsibilities
- Develop and manage data pipelines for ingestion, transformation, and storage
- Design and implement database schemas and data models
- Collaborate with analytics and business teams to understand data needs
- Ensure data accuracy, consistency, and accessibility
- Monitor and troubleshoot data workflows
- Optimize data storage and query performance
- Support data governance and compliance standards
- Integrate data from multiple internal and external sources
- Maintain documentation for data systems and processes
- Work with cloud-based data platforms and services
- Implement automated testing for data quality
- Participate in agile development cycles
- Contribute to data warehouse architecture
- Evaluate and adopt new data technologies
- Ensure scalability and reliability of data infrastructure
- Support real-time and batch data processing
- Collaborate with data scientists on model deployment
- Assist in data security and access controls
- Troubleshoot production data issues
- Improve data pipeline monitoring and alerting
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model available
Team
Part of a technology-driven team focused on data infrastructure and analytics
About the Team
This role is part of a forward-thinking technology team that leverages data to drive decision-making across the organization. The group values innovation, collaboration, and continuous improvement in data systems.
What We Offer
Opportunities for professional growth, a supportive work culture, access to modern data tools, and involvement in impactful projects that shape the company’s data strategy.
Not available
