About the Role
The Data Engineer will collaborate with cross-functional teams to develop and optimize data pipelines, implement data models, and support data-driven decision-making through reliable and efficient data infrastructure.
Responsibilities
- Design and construct data pipelines for efficient data ingestion and transformation
- Develop and maintain data models to support analytics and reporting needs
- Ensure data accuracy, consistency, and integrity across systems
- Optimize data storage and retrieval performance
- Collaborate with analysts and engineers to understand data requirements
- Implement ETL processes using modern data tools and frameworks
- Support data warehouse architecture and integration
- Monitor data workflows and troubleshoot issues
- Document data structures, pipelines, and processes
- Apply data governance and security standards
- Work with cloud-based data platforms and services
- Automate data validation and quality checks
- Integrate data from multiple sources including APIs and databases
- Support real-time and batch data processing
- Participate in code reviews and technical design sessions
Compensation
Competitive salary based on experience and qualifications
Work Arrangement
Hybrid work model with flexible remote options
Team
Collaborative environment focused on innovation and technical excellence
Why Join Us
- Opportunity to work on large-scale data challenges in a supportive team setting
- Access to modern tools and technologies for data engineering
- Commitment to professional growth and continuous learning
What We Value
- Technical curiosity and a drive to solve complex data problems
- Collaboration and knowledge sharing across teams
- Ownership of work and commitment to high-quality deliverables
Not available for this position
