Key skills
Google BigQueryDataformdbtSQLETL pipelinesELT pipelinesData modelingData warehousingCloud-based data platformsVersion controlStakeholder collaborationETLELTData EngineeringData WarehousingAnalyticsBusiness IntelligenceBigQueryVersion ControlCommunicationCollaboration
About this role
MathCo is looking for a Data Engineer to support enterprise data engineering and analytics initiatives. The ideal candidate will have strong expertise in modern cloud data platforms and will collaborate closely with data architects and business stakeholders to deliver reliable data solutions.
Responsibilities:
- Design, develop, and maintain scalable data pipelines and data transformation workflows
- Build and optimize data models to support reporting, analytics, and business intelligence initiatives
- Develop robust ETL/ELT processes using modern cloud-native technologies
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver scalable solutions
- Ensure data quality, integrity, and performance across enterprise data platforms
- Optimize SQL queries and data processing workflows for performance and scalability
- Participate in code reviews, testing, and deployment activities following engineering best practices
- Support production environments by troubleshooting data issues and implementing continuous improvements
- Contribute to documentation, technical design discussions, and knowledge-sharing initiatives
Requirements:
- 8+ years of experience in Data Engineering
- Strong experience with Google BigQuery
- Hands-on experience with Dataform or dbt
- Advanced proficiency in SQL
- Experience building scalable ETL/ELT pipelines and data transformation workflows
- Strong understanding of data modeling, data warehousing, and cloud-based data platforms
- Experience working with version control and modern software development practices
- Strong analytical and problem-solving abilities
- Excellent communication and stakeholder collaboration skills
- Ability to work effectively in a cross-functional team environment
- Self-driven with the ability to manage multiple priorities in a fast-paced consulting environment
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
- Experience in a consulting or client-facing environment