Own the data lifecycle of healthcare claims data, including the development of reliable ELT/ETL pipelines and data quality observability. Implement privacy-preserving datasets by managing de-identification and PII reduction specifications.
Remote Data Engineer Jobs (2,742)
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Design and deploy agent-based AI systems to improve the quality and reliability of clinical data extraction within a production pipeline. Partner with cross-functional teams to define success metrics and implement scalable AI capabilities in a regulated healthcare environment.
Senior Data Conversion Engineer - Remote
CentralSquare Technologies
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Full Time
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1 Week Ago
CentralSquare Technologies
The role involves extracting, transforming, and loading data from legacy systems into CentralSquare software. It requires collaborating with clients to ensure data structure accuracy and performing final conversions during system go-live.
Design and productionize perception systems to transform real-world warehouse environments into high-quality AI training data. You will own the egocentric perception stack, including data capture, vision pipelines, and automated labeling workflows.
The role involves owning the end-to-end cloud data platform, including environment provisioning, security, and automation using Azure and Snowflake. Key duties include designing scalable data pipelines, implementing infrastructure-as-code, and leading the modernization of data workflows.
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The role involves owning business problems and translating them into actionable data solutions, including metrics, models, and dashboards. You will maintain the semantic layer as a single source of truth and leverage AI to increase efficiency while ensuring technical accuracy.
The role involves designing and evolving DWH architecture and developing financial data pipelines in a cloud environment. It also requires gathering requirements from stakeholders and maintaining technical documentation for audits and data governance.
Lead the architecture and design of large-scale distributed systems and scalable microservices for real-time and batch data processing. Drive technical standards, mentor engineers, and take end-to-end ownership of the software development lifecycle.
Build and maintain data ingestion pipelines that pull cyber-intelligence data from API sources into Elasticsearch. Monitor pipeline health, develop Kibana dashboards, and document operational runbooks to support a unified cyber terrain view.
Software Engineer IV – Data Platforms (Memphis, TN or Remote in USA)
ALSAC
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Full Time
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1 Week Ago
ALSAC
Serve as the technical authority for the enterprise analytics ecosystem, owning the architectural design and production stability of the BI platform. Lead the design and evolution of high-scale data systems while mentoring junior engineers and collaborating with Enterprise Architecture.
Software Engineer / Senior Software Engineer - GitHub Data Engineering Platform
Microsoft
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Full Time
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1 Week Ago
Microsoft
Design, develop, and ship high-quality technical solutions and APIs that scale across GitHub services. Provide technical leadership and mentorship while owning the health and quality of the systems through on-call rotations.
The role is responsible for the security architecture and management of cloud and enterprise security, focusing on planning, building, and running security activities. Key duties include designing enterprise security solutions, managing the employee security awareness program, and serving as the final escalation point for complex security incidents.
The Lead FDE architects and deploys production-grade AI and platform solutions for strategic institutional partners, bridging the gap between product demos and embedded deployments. They write production code, design agentic AI workflows, and translate field insights into the core product roadmap.
Lead the design and development of high-scale, resilient data plane services for an Inference as a Service offering. Optimize distributed inference hosting using techniques like tensor parallelism and KV cache optimizations while contributing to open-source projects.
Technically anchor the AI Data Engine team by driving the strategy and architecture for ML dataset generation and the data warehouse stack. Act as a hands-on leader mentoring engineers and collaborating cross-functionally to accelerate the development cycle for ML models.
Software Engineer II - Data Engineering Platform
MQ Referrals Only
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Full Time
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1 Week Ago
MQ Referrals Only
Steward the Snowflake data platform through configuration-as-code, access models, and compliance automation. Develop and maintain supporting services including financial reporting APIs and PCI-scoped ETL pipelines.
The role focuses on managing Snowflake account security and governance using Terraform-based Infrastructure as Code. Responsibilities include developing CI/CD pipelines, optimizing resource utilization, and implementing role-based access controls.
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Own the full lifecycle of ML models from data ingestion to deployment, focusing on building a risk detection system using LLMs and classical ML. Design and maintain scalable data pipelines and MLOps infrastructure to ensure model performance and business impact.
Senior Software Engineer — Python-to-.NET Data Automation Migration - Ubiminds (548)
Ubiminds
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Full Time
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1 Week Ago
Ubiminds
Reverse-engineer existing Python data-movement scripts and port them into a maintainable, event-driven .NET environment. The role involves automating data flows from AWS/S3 and Postgres to various customer destinations while ensuring robust error handling and documentation.
Develop and maintain the infrastructure to transform ClickHouse into a serverless, cloud-native database solution. Build scalable distributed infrastructure and improve metrics pipelines using an in-house Kubernetes operator.
Develop and maintain the infrastructure to transform ClickHouse into a serverless, cloud-native database solution. Build a scalable distributed platform and improve the metrics pipeline using an in-house Kubernetes operator.
Build and maintain a scalable, cloud-native database platform and serverless infrastructure using Kubernetes. Collaborate with core database teams to improve metrics pipelines and enhance overall system performance and availability.
Develop and maintain the infrastructure to transform ClickHouse into a serverless, cloud-native database solution. This includes building a Kubernetes operator, improving metrics pipelines, and architecting scalable distributed infrastructure.
Design, develop, and maintain integration solutions to connect systems and automate processes across enterprise environments. This includes building RESTful and SOAP APIs and managing data flows using ETL tools and messaging platforms.
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Architect and maintain enterprise-scale automated data quality validation frameworks to ensure the accuracy and reliability of healthcare data. Lead data validation strategies and partner with cross-functional leadership to maintain high-trust datasets while mentoring junior engineers.
Design, implement, scale, and maintain the code powering production systems for the international Measurement team. Innovate and build the next generation of Cint products to accommodate rapid business growth.
Lead the development of secure, high-availability backend services for a government client using commercial and open-source technologies. Responsibilities include designing, deploying, and operating continuous deployment pipelines and maintaining operational ownership of services.
Design and build scalable quality frameworks and infrastructure for human data used in training advanced AI models. Act as a strategic partner to clients and AI labs to translate model needs into robust evaluation strategies and annotation schemas.
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