Senior Data Engineer
Dallas/Atlanta/New Jersey/Indianapolis/Cleveland/Chicago
Full Time
Must Have Technical/Functional Skill
We are seeking a Senior Data Engineer with strong expertise in MongoDB and data serving layers to design and enable scalable high-performance data access for enterprise applications. The role focuses on data modeling integration from lakehouse platforms and enabling API-driven data consumption.
Key Skills
Strong hands-on experience with MongoDB (schema design indexing optimization)
Experience with data serving layer architectures and NoSQL data modeling
Knowledge of data integration from lakehouse/data warehouse platforms
Familiarity with GraphQL and API-based data access patterns
Strong understanding of performance tuning and scalability in distributed systems
Preferred Skills
Experience with Lakehouse architectures (Iceberg S3 etc.)
Familiarity with Redshift or other data warehouse platforms
Exposure to microservices-based architectures and backend integration
Roles & Responsibilities
Design and implement MongoDB schemas optimized for application consumption.
Sync and transform curated Lakehouse data into MongoDB for downstream use.
Implement indexing strategies and performance tuning to ensure efficient query performance.
Enable GraphQL/API-based data access patterns for application teams.
Support and collaborate with application teams to facilitate data access and serving layer integration.
Ensure scalability reliability and consistency of data in the serving layer.
Senior Data Engineer Dallas/Atlanta/New Jersey/Indianapolis/Cleveland/Chicago Full Time Must Have Technical/Functional Skill We are seeking a Senior Data Engineer with strong expertise in MongoDB and data serving layers to design and enable scalable high-performance data access for enterprise ...
Senior Data Engineer
Dallas/Atlanta/New Jersey/Indianapolis/Cleveland/Chicago
Full Time
Must Have Technical/Functional Skill
We are seeking a Senior Data Engineer with strong expertise in MongoDB and data serving layers to design and enable scalable high-performance data access for enterprise applications. The role focuses on data modeling integration from lakehouse platforms and enabling API-driven data consumption.
Key Skills
Strong hands-on experience with MongoDB (schema design indexing optimization)
Experience with data serving layer architectures and NoSQL data modeling
Knowledge of data integration from lakehouse/data warehouse platforms
Familiarity with GraphQL and API-based data access patterns
Strong understanding of performance tuning and scalability in distributed systems
Preferred Skills
Experience with Lakehouse architectures (Iceberg S3 etc.)
Familiarity with Redshift or other data warehouse platforms
Exposure to microservices-based architectures and backend integration
Roles & Responsibilities
Design and implement MongoDB schemas optimized for application consumption.
Sync and transform curated Lakehouse data into MongoDB for downstream use.
Implement indexing strategies and performance tuning to ensure efficient query performance.
Enable GraphQL/API-based data access patterns for application teams.
Support and collaborate with application teams to facilitate data access and serving layer integration.
Ensure scalability reliability and consistency of data in the serving layer.
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