About the Role
The role involves developing and improving data platforms that power analytics and AI features. You will work closely with data scientists, product managers, and engineers to ensure data accuracy, reliability, and performance across large-scale systems.
Responsibilities
- Design and implement data pipelines for ingestion, transformation, and storage
- Collaborate with analytics and ML teams to understand data requirements
- Optimize data workflows for performance and scalability
- Ensure data quality and integrity across systems
- Support the evolution of data architecture to meet growing business needs
- Monitor and troubleshoot data pipeline issues
- Contribute to documentation and best practices for data engineering
- Work with distributed systems and cloud-based data platforms
- Improve data accessibility for internal stakeholders
- Participate in code reviews and system design discussions
- Maintain compliance with data governance standards
- Integrate third-party data sources when necessary
- Develop automated testing for data processes
- Assist in capacity planning for data infrastructure
- Support deployment and maintenance of ETL processes
- Collaborate on schema design and data modeling
- Enhance monitoring and alerting for data systems
- Evaluate new data tools and technologies
- Contribute to incident response for data-related outages
- Promote data reliability and observability
- Work within agile development cycles
- Ensure security practices are followed in data handling
- Help onboard team members to data platforms
- Participate in technical planning and estimation
- Drive improvements in data platform efficiency
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexibility for remote and office collaboration
Team
Part of a data-focused engineering team building scalable systems for analytics and machine learning
Why This Role Matters
- Your work will directly impact how data is collected, processed, and used across the organization.
- You will help build systems that power predictive analytics and customer insights.
- This role is key to maintaining data accuracy and availability at scale.
What We Value
- Technical excellence paired with practical problem-solving.
- Collaboration and knowledge sharing across teams.
- Ownership of systems and proactive improvement.
Available for qualified candidates
