Define, monitor, and execute data governance policies while designing and maintaining tooling for automated data mesh operations. The role also involves deploying and operating services developed by the team.
Remote Data Engineer Jobs (2,747)
Search = Data Engineer
The Data Analytics Engineer analyzes complex customer data to determine integration needs and develops scalable data integration pipelines. They also collaborate with various teams to align solutions with business objectives and automate data validation processes.
Senior Software Engineer - Cloud Data Storage
Temporal Technologies
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Full Time
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32 Weeks Ago
Temporal Technologies
As a Senior Software Engineer, you will design, build, and maintain backend functionality for scalable services. You will also own the custom persistence stack for Temporal Cloud, ensuring durability and query-ability of workflow history.
Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI
Scale AI
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Full Time
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39 Weeks Ago
Scale AI
You will build synthetic data pipelines to generate enterprise environments for reinforcement learning post-training and create agents to convert production traces into actionable insights. Additionally, you will contribute to the agent building product and train state-of-the-art models for enterprise deployment.
As an experienced Data Scientist/AI Engineer, you will work on various projects to support clients in their data and AI transformation initiatives. Responsibilities include understanding statistics, data exploration, model building, and ensuring data security protocols are followed.
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Design, develop, and deploy sophisticated machine learning and GenAI models to solve complex data problems at scale. Collaborate with other engineers and product managers to build robust, high-performance Python-based analytics pipelines.
The Data Scientist will explore data to identify trends and evaluate campaign performance while designing and optimizing algorithms for CPA optimization. They will also collaborate with product teams to translate technical solutions into measurable business impacts.
You will develop and maintain efficient data pipelines while collaborating with cross-functional teams to meet data objectives. Additionally, you will utilize Python and AI to optimize data infrastructure and ensure high standards of data quality and security.
You will build and ship full-stack features for infrastructure cost and usage tooling, including interactive web applications and backend services. You will also partner with data and analytics engineers to design data models and launch products for analyzing AI productivity and cloud efficiency.
The role involves designing, developing, and maintaining data engineering solutions and database pipelines to support business operations. It also includes ensuring data integrity, regulatory compliance, and providing production support while mentoring fellow engineers.
The Data/Context Engineer will architect and scale a multi-regional knowledge base system to support decision-making across 12 regions. Responsibilities include building ingestion pipelines, managing retrieval evaluation, and ensuring data integrity through health reporting.
The engineer will build, deploy, and optimize both on-premises and cloud-based data center infrastructure while managing network connectivity and routing. They will also utilize automation tools to streamline operations and lead root cause analysis for complex infrastructure faults.
You will build and maintain payment integrations with PSPs and develop a robust reconciliation platform to match POS transactions against settlement records. Additionally, you will serve as a subject matter expert for the payment stack and mentor engineering team members.
Design and implement integration and automation systems that orchestrate connectors and manage data streams for AI use cases. Develop backend solutions using Python and LangGraph to integrate LLM-driven processes into productive workflows.
Data Center Virtualization Engineer
Bright Vision Technologies
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Full Time
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4 Days Ago
Bright Vision Technologies
Design, deploy, and operate VMware-based virtualization, software-defined networking, and storage platforms across on-premises and hybrid cloud environments. Focus on automation, capacity management, and managing large-scale VMware estates alongside cloud-native workloads.
Design and support scalable data pipelines and big-data infrastructure to power analytics and BI reporting. Contribute to backend development using Node.js and GraphQL while integrating third-party platforms and IoT systems.
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Own the end-to-end delivery of BI dashboards and the underlying AWS data pipelines. Build and maintain batch and streaming ETL processes while ensuring data quality and resolving analytics discrepancies.
Pre Sales Data Center Solutions Engineer
Prime Data Centers
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Full Time
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1 Week Ago
Prime Data Centers
The role involves designing and implementing technical data center solutions for Hyperscale customers, primarily through responding to RFPs and RFIs. It requires collaborating with sales, engineering, and procurement teams to ensure technical accuracy and timely delivery of contractual commitments.
The role involves managing and administering Electric Power Monitoring Systems (EPMS) and Building Management Systems (BMS) within data centers. Key duties include troubleshooting, system configuration, and coordinating field work and commissioning activities.
Lead the end-to-end engineering vision and implementation of cloud-native data products and high-throughput pipelines for real-world data. Drive the Analytic Data Products Strategy to transform raw healthcare data into scalable, analysis-ready assets for evidence generation.
Deploy, upgrade, and maintain High-Speed Data infrastructure including DNS, DHCP, and DOCSIS provisioning platforms. Automate system tasks using Python and Ansible while ensuring high availability and security compliance.
Lead the technical design and launch of complex search infrastructure for Rovo and other Atlassian products. Mentor junior engineers and partner across teams to implement company-wide engineering programs.
Data Platform DevOps Engineer (Palantir Foundry) (m/f/d)
Deutsche Telekom IT Solutions Slovakia
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Full Time
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1 Week Ago
Deutsche Telekom IT Solutions Slovakia
Design, build, and operate robust data solutions and production pipelines on Palantir Foundry. Ensure platform reliability through monitoring, troubleshooting, and implementing automation to prevent recurring issues.
Implement cost monitoring, alerting, and automation tools to drive sustainable cloud cost management across product and platform groups. Develop cost allocation pipelines and dashboards to ensure accurate attribution and prevent cost overruns.
Senior Business Analyst / Data Quality Assurance Engineer — Federal Healthcare
Rackner
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Full Time
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1 Week Ago
Rackner
Own the end-to-end testing lifecycle for federal healthcare systems, from planning and requirements translation to defect resolution. Validate complex healthcare data, APIs, and ETL processes using SQL and automated testing frameworks to ensure mission-ready solutions.
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Build and maintain automated testing frameworks for core personalization features, LLM-driven agents, and data pipelines. Collaborate with engineering to implement quality gates and monitor platform reliability and performance.
Develop and maintain data hall layouts, infrastructure designs, and rack elevations. Collaborate with cross-functional teams to implement scalable designs and ensure compliance with industry standards.
Design and deploy scalable cloud-based data, analytics, and automation solutions using Microsoft Cloud and AI technologies. Integrate AI capabilities and implement robust monitoring to optimize global business operations.
Big Data & Infrastructure Engineer (Time-Series Specialist)
Fluent Trade Technologies
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Full Time
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2 Weeks Ago
Fluent Trade Technologies
Lead the data architecture for a new FX Trading Analytics platform, selecting and optimizing the big-data engine for real-time and historical analysis. Own the end-to-end installation, configuration, and scaling of the database environment to support massive datasets.
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