Remote Data Engineering Jobs (1,306)
Tags = data-engineering
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.
Lead a global professional services organization for NPO-focused solutions, owning the full P&L and driving financial performance. Develop and execute a multi-year services strategy leveraging AI and automation to optimize delivery and customer time-to-value.
Junior Solutions Architect - MLOps & Real-Time Data Integration
Striim, Inc.
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Full Time
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2 Weeks Ago
Striim, Inc.
Design and implement scalable real-time data integration and CDC solutions using the Striim platform to power enterprise AI and analytics. Develop data pipelines for machine learning workflows and collaborate with engineering teams to validate architectural designs.
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The role involves designing and implementing scalable data solutions and building robust data pipelines using APIs. The engineer will optimize data workflows and handle large-scale datasets within the e-commerce industry.
The role involves building the data foundation and analytics layers using Microsoft Fabric and Power BI to turn raw data into actionable business insights. Responsibilities include designing scalable data pipelines, developing semantic models, and partnering with cross-functional teams to enable data-driven decision-making.
Lead analytical efforts across the merchant risk lifecycle to detect and respond to fraud patterns and emerging threats. Partner with cross-functional teams to design scalable monitoring systems and AI-enabled workflows to improve risk controls.
Senior DataOps Engineer
Voyager Technologies, Inc.
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Full Time
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2 Weeks Ago
Voyager Technologies, Inc.
Design and operationalize data infrastructure and pipelines across multi-cloud environments, specifically migrating workloads from AWS Commercial to GovCloud. Lead the platform ownership of Microsoft Fabric and ensure all data assets comply with strict government security standards like NIST 800-171.
Design, scale, and own data platforms for a private-market intelligence product. Build reliable batch and streaming pipelines while improving data quality, governance, and technical standards.
Manager, Test Data Engineering Team
Live Nation Entertainment
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Full Time
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2 Weeks Ago
Live Nation Entertainment
Lead a team of engineers to build scalable, automated data testing solutions and reusable quality frameworks within a Databricks platform. Establish data observability, monitoring, and synthetic data generation practices to eliminate manual validation processes.
The role involves designing and maintaining batch or real-time data pipelines and automating data workflows for ingestion and processing. You will also develop ETL/ELT processes and mentor junior engineers to ensure data accuracy and security.
Design and implement scalable AI systems to handle the variability of healthcare data received from external sources. Partner with product managers and stakeholders to execute technical roadmaps while mentoring junior engineers.
Define and scale enterprise data architecture by designing trusted, reusable, and scalable data assets. Partner with cross-functional teams to establish architecture standards and ensure data is well-modeled and secure for AI and analytics use cases.
Lead and mentor a team of data engineers to manage the core data layer and drive the technical strategy for the data platform. Collaborate with product and security teams to optimize data models, scalability, and AI-assisted engineering practices.
Design and deliver scalable cloud-native analytics solutions using Microsoft Fabric and the Azure ecosystem. Lead engineering teams through mentoring, architectural design, and the implementation of high-performance data pipelines and models.
The Senior Data Engineer will design and optimize scalable data pipelines and cloud data warehousing solutions to meet strategic business goals. They will partner with stakeholders to translate analytics needs into technical documentation and deliver user-facing reporting and dashboards.
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Manager, Companion Animals Global On-market Clinical Studies & Outcomes Research
Zoetis
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Full Time
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2 Weeks Ago
Zoetis
The role involves planning and executing global clinical studies and outcomes research to demonstrate the value of companion animal products. It requires collaborating with cross-functional teams and external partners to align research with global business strategies.
Manager, Companion Animals Global On-market Clinical Studies & Outcomes Research
Zoetis
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Full Time
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2 Weeks Ago
Zoetis
Plan and execute global clinical studies and outcomes research to demonstrate the value of companion animal products. Collaborate with cross-functional teams and external partners to disseminate research findings through publications and industry presentations.
Analyze marketing workflows to design and integrate scalable AI-enabled business solutions and Generative AI tools into the MarTech ecosystem. Collaborate with cross-functional engineering and security teams to ensure AI services meet enterprise standards for scalability, governance, and performance.
The Senior Data Engineer builds scalable data pipelines and API integrations to enable analytics and operational reporting. The role involves implementing data quality monitoring and applying generative AI tools to accelerate development and improve system design.
The role involves designing and implementing standardized ETL pipelines and data models to migrate data from over 80 ERP systems into Microsoft Fabric. The Lead will establish data quality frameworks and mentor team members to ensure a unified, AI-ready data architecture.
Associate Director- Engagement Lead
Tiger Analytics Inc.
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Full Time
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2 Weeks Ago
Tiger Analytics Inc.
Define and maintain data architecture guidelines for ingestion, transformation, and governance while managing technical debt. Act as a technical liaison to translate business needs into technical solutions and commercial proposals.
The role involves delivering complex AI and data engineering projects on the Databricks platform while serving as a technical subject matter expert. Responsibilities include creating thought leadership content, building technical demonstrations, and providing architecture advisory for prospective clients.
Build and maintain scalable data pipelines and enrichment workflows to transform raw client data into actionable insights. Collaborate with multidisciplinary teams to integrate enriched data into broader systems while ensuring high code quality and performance.
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Data Engineer
Bridgenext Digital Engineering
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Full Time
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2 Weeks Ago
Bridgenext Digital Engineering
Design, build, and optimize scalable data pipelines and modern data platforms to support analytics and reporting. This includes developing dbt models, implementing dimensional data models, and maintaining CI/CD 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.
Lead Medicare Advantage and ACA risk adjustment analytics, predictive modeling, and financial valuations to drive risk score accuracy. Manage a high-performing informatics team and partner with executive leadership to influence organizational strategy and operational outcomes.
Lead cross-functional analytics and data governance initiatives to develop enterprise reporting and dashboards. Partner with executive leadership to deliver actionable insights and automated monitoring solutions for strategic decision-making.
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