BigBear.ai seeks a Data Engineer to join the Data Architecture & Engineering team. You will design and build scalable, secure data pipelines to transform raw data into actionable insights, working across cloud environments, databases, and development teams to support analytics and reporting. The role requires expertise in ETL development, AWS services (S3, Lambda, Glue, Redshift), and database management, with a strong foundation in Agile software development.
BigBear.ai seeks a Data Engineer to join the Data Architecture & Engineering team. You will design and build scalable, secure data pipelines to transform raw data into actionable insights, working across cloud environments, databases, and development teams to support analytics and reporting. The role requires expertise in ETL development, AWS services (S3, Lambda, Glue, Redshift), and database management, with a strong foundation in Agile software development.
What you will do: - Design and develop end-to-end data pipelines for ingestion, transformation, and delivery of structured and unstructured data, following ETL best practices. - Build and maintain ETL processes ensuring data quality, consistency, and performance across environments. - Integrate data pipelines with AWS services (S3, Lambda, Glue, Redshift) for scalable, secure data processing. - Develop and maintain schemas, data dictionaries, and transformation logic to support data architecture and documentation. - Monitor production datasets, ensuring fault tolerance, redundancy, and data integrity. - Collaborate with cross-functional teams to design and launch new data features, document data flows, capabilities, and support procedures. - Support database administration tasks such as performance tuning, indexing, and access control. - Apply Agile practices to deliver iterative improvements and adapt to evolving data needs. - Develop and integrate APIs to enable data access and interoperability. - Work with cloud messaging APIs and implement push notification mechanisms where applicable. - Continuously explore new
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What you will do: - Design and develop end-to-end data pipelines for ingestion, transformation, and delivery of structured and unstructured data, following ETL best practices. - Build and maintain ETL processes ensuring data quality, consistency, and performance across environments. - Integrate data pipelines with AWS services (S3, Lambda, Glue, Redshift) for scalable, secure data processing. - Develop and maintain schemas, data dictionaries, and transformation logic to support data architecture and documentation. - Monitor production datasets, ensuring fault tolerance, redundancy, and data integrity. - Collaborate with cross-functional teams to design and launch new data features, document data flows, capabilities, and support procedures. - Support database administration tasks such as performance tuning, indexing, and access control. - Apply Agile practices to deliver iterative improvements and adapt to evolving data needs. - Develop and integrate APIs to enable data access and interoperability. - Work with cloud messaging APIs and implement push notification mechanisms where applicable. - Continuously explore new
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Based on: Data Engineer
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