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Design and validate enterprise data platforms using open table formats (Iceberg), object storage, lakehouse architectures, governance, and streaming pipelines to support AI-ready analytics and compliance.
Build and maintain scalable data pipelines and cloud infrastructure to deliver reliable, analytics-ready datasets for merchandising, supply chain, marketing, and e-commerce teams using Spark, Airflow, and modern data platforms.
SAIC is seeking a highly experienced and motivated Senior Software Engineer to contribute to the integration of AI capabilities into expeditionary systems, including sensor kits, UxS, C2, and TAK. The successful…
Build and optimize cloud-based Spark/PySpark pipelines for large financial datasets using Parquet and Iceberg to power portfolio management systems.
Principal engineer designing and scaling distributed database systems for an ad-tech platform that measures TV and digital video ad spend, using Rust, Arrow, Parquet, and Iceberg.
Build full-stack features for a data infrastructure platform that turns telemetry into insights for hardware engineering teams like rockets and autonomous vehicles using React, Go, TypeScript, and Rust.
Build and ship AI agents that analyze hardware telemetry for engineering teams, working full-stack with React, Go, and Kubernetes while owning product features from design to deployment.
Build and ship AI agents that analyze hardware telemetry for mission-critical systems, working across full-stack technologies to deliver dependable agentic tools for engineers.
Builds full-stack features for a data-infra platform that turns hardware telemetry into insights for rockets, satellites, and autonomous systems using React, Go, TypeScript, and time-series databases.
Design and deploy production-grade Databricks platforms for enterprise clients, leading end-to-end cloud data engineering projects on AWS/Azure.
Build and modernize a large-scale data platform on GCP, migrating from Azure/Databricks to a Data Mesh architecture with ELT/ETL pipelines, streaming, and governance using BigQuery, Dataflow, Spark, and Iceberg.
Lead a team building scalable data pipelines and warehousing on AWS for HR analytics, using PySpark, Kafka, and Terraform to integrate disparate systems and deliver business intelligence.
Lead a team building scalable data pipelines and warehousing solutions on AWS for HR analytics, using PySpark, Kafka, and Terraform to integrate disparate systems and deliver business intelligence.
Build and validate data pipelines for a UK & Ireland credit lender’s centralized data lake, harmonizing schemas, enforcing quality, and preparing clean datasets for risk modeling under GDPR constraints.
Design and build scalable data pipelines and lakehouse architectures using Python, Spark, Kafka, and cloud platforms to enable real-time analytics and ML workflows.
Build and maintain ETL pipelines, optimize cloud data solutions, and design reports in Azure for a healthcare-focused team.
Build and maintain AWS-based big-data pipelines (Glue, S3, RDS/DynamoDB) to transform and validate automotive data, using Python, PySpark, and Terraform.
Build and maintain AWS-based big-data pipelines using Python, PySpark, Terraform, and AWS Glue to move and transform data while ensuring security and compliance.
Build and maintain ETL pipelines, reports, and cloud data solutions in Azure to ensure data integrity and availability for HR and healthcare systems.
Build and maintain AWS-based big-data pipelines for a mobility/climatetech/logistics company, validating data accuracy and ensuring secure sharing.
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