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Senior Software Engineer - Storage Infrastructure
Builds and maintains scalable storage infrastructure for an AI-driven cybersecurity platform, focusing on backup, observability, and agent-forward operations across Aurora, ClickHouse, and Kafka.
Data Engineer - Remote
Designs and builds scalable data pipelines and lakehouse/warehouse architectures using Spark to deliver analytics-ready datasets for business insights.
Manager, Data Governance & AI
Leads data-governance and AI initiatives for large clients, defining strategies, MDM models, and quality frameworks while aligning business needs with tech platforms.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and services using Spark, Databricks, Kafka, and Scala/Java for Bosch’s automotive and mobility systems.
Site Reliability Engineer — ETL Platform, IS&T Ai & Data Platforms
Owns reliability and performance of Apple’s ETL platform, running Airflow, Spark-on-EKS, and Kafka pipelines on Kubernetes to ensure data freshness and operational readiness.
Data Engineer
Build and maintain scalable data pipelines and AI-ready datasets for enterprise agentic AI systems, integrating structured and unstructured data in cloud environments like Azure.
Data Engineer
Build and maintain scalable data pipelines and services to power AI agents and enterprise analytics, using Python, SQL, and cloud platforms like Azure.
Enterprise Data Architect
Designs enterprise-scale data foundations and AI-ready architectures, including data products, contracts, and SAP BW/4HANA integration, to support analytics and responsible AI at a global manufacturer.
Azure Database Architect
Designs, implements, and supports Azure-based data lakes and lakehouse architectures, focusing on integrated data reserves and cloud-native database solutions.
Data and AI Engineer (Mid-Level)
Shannon & Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey,…
Data and MLOps Engineer
Build and maintain production-grade data pipelines and MLOps workflows, deploying scalable ML services on Azure/AWS using Docker, Kubernetes, and CI/CD.
Data Engineer
Builds and optimizes Microsoft Fabric lakehouse pipelines, PySpark transformations, and Power BI reports for a healthcare revenue-cycle SaaS platform.
Software Engineer II - Databricks
Build and maintain scalable data pipelines and analytics workloads on Databricks for J.P. Morgan’s Payments Technology team.
Senior Staff Data Infrastructure Engineer
Build and maintain secure, high-scale data infrastructure for federal clients, specializing in FedRAMP environments with PostgreSQL, Kafka, and Kubernetes.
Principal Data Engineer
Principal Data Engineer defines standards and frameworks for Finance Data Hub’s DataOps, data quality, observability, and governance, while leading Snowflake-based pipeline modernization and GenAI adoption.
Senior Software Engineer – Foundational Data Systems for AI
Design and build self-optimizing data infrastructure for AI, focusing on distributed systems, compression, and metadata management to reduce cost and latency at petabyte scale.
Data Analyst, Revenue Operations
Build and maintain Power BI semantic models and Microsoft Fabric pipelines for a proptech SaaS company, reconciling Salesforce data to drive GTM decisions and revenue metrics.
Senior Software Engineer (Data/Backend)
Build and operate backend services and data pipelines that ingest high-volume security telemetry, turning it into detection and remediation for customers using TypeScript/Node.js, Python, Go, and Kubernetes.
Solution Architect – Databricks
Designs and implements cloud-native data architectures using Databricks, AWS, and Kafka to build scalable real-time and batch data platforms for analytics and enterprise processing.