Design, build, and maintain scalable batch and streaming data pipelines to support the core AI platform. Collaborate with backend, product, and AI teams to develop robust ingestion, transformation, and retrieval workflows.
Remote Data Engineer Jobs (2,745)
Search = Data Engineer
Principal Data Engineer
Prescryptive Health, Inc.
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Full Time
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17 Weeks Ago
Prescryptive Health, Inc.
The Principal Data Engineer will lead the architecture and implementation of scalable, secure ETL/ELT pipelines and enterprise data models using Snowflake. They will collaborate cross-functionally to drive data strategy, mentor junior engineers, and ensure high-performance data operations across the organization.
You will lead the architecture and delivery of the open lakehouse foundation, governance, and multi-engine compute strategy to ensure scalability and cost efficiency. Additionally, you will drive real-time infrastructure initiatives and mentor senior engineers to elevate engineering excellence across the organization.
You will lead the architecture and delivery of the company's open lakehouse foundation, governance, and multi-engine compute strategy. Additionally, you will drive real-time infrastructure initiatives and mentor senior engineering staff to ensure platform scalability and reliability.
The Senior Data Engineer will manage and optimize SQL databases, ensuring high performance, security, and availability. They will also lead daily standups, prioritize tasks, and mentor team members to align data solutions with business objectives.
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You will build and maintain scalable data pipelines for large video generation models, including ingestion, preprocessing, and dataset curation. Additionally, you will design annotation workflows and collaborate with research teams to optimize model-driven filtering systems.
Design and maintain robust data pipelines to ingest raw data from various sources while optimizing ETL/ELT processes for ML applications. You will own the full dataset lifecycle and build infrastructure to support data annotation and model training workflows.
The Associate Data Engineer will build and maintain data pipelines to ingest, transform, and organize data from multiple sources. They will also collaborate with cross-functional teams to ensure data quality and troubleshoot pipeline issues.
The Senior Data Engineer will design, build, and maintain scalable data pipelines, ensuring data quality and reliability. They will collaborate with product management and engineering teams to translate business requirements into data pipeline solutions.
Senior Systems Software Engineer, Data Center Infrastructure Management - EngOps
NVIDIA
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Full Time
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17 Weeks Ago
NVIDIA
The engineer will take ownership of daily cluster failures and issues, troubleshooting them promptly to maintain optimal cluster availability and performance. Responsibilities also include managing updates to site controller management nodes and overseeing the rollout and rollback of cluster software and firmware updates.
Principal Structural Engineer – Data Center Infrastructure (FE)
Jabil
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Full Time
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17 Weeks Ago
Jabil
The engineer will evaluate structural solutions for technical risk, cost efficiency, and schedule, leading gravity, wind, seismic, and vibration analysis for data center components per relevant codes. Responsibilities also include supporting manufacturing facility design, ensuring structural compatibility with production equipment, and defining structural strategies for thermal loads and vibration-sensitive equipment.
The Senior Structural Engineer will independently manage engineering and project management tasks for small to medium-sized projects from start to finish, including processing design calculations and developing project scopes and schedules. Responsibilities also involve producing structural construction drawings and specifications, and coordinating efforts with other internal teams and clients.
The Senior Data Engineer will build and manage business data pipelines, transforming telemetry data into reliable, structured datasets for decision-making. They will partner with various teams to ensure data quality, accuracy, and performance while evolving the data platform.
The role involves building and managing business data pipelines, transforming telemetry data into reliable datasets, and partnering with various teams to create models and metrics that inform company decisions. Responsibilities also include monitoring data quality using observability tools and ensuring data governance and privacy policies are enforced across large datasets.
The Senior Data Engineer will build and manage business data pipelines, transforming telemetry data into reliable, high-quality datasets for decision-making. They will partner with various teams to create models and metrics, ensure data quality through monitoring, and evolve the data platform.
The role involves designing, developing, and maintaining modern data pipelines and Lakehouse architectures primarily using Azure Databricks, Spark, and Azure Data Factory. Key tasks include building data transformations with PySpark/SQL, implementing Delta Lake, and integrating data from various sources into the platform.
The role involves designing, developing, and maintaining modern data pipelines and Lakehouse architectures primarily using Azure Databricks, Spark, and Azure Data Factory. Key tasks include building data transformations, implementing Delta Lake structures, and integrating data from various sources into the analytical layers.
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The mission involves improving and expanding the capabilities of the Mimica Webapp (MERN stack) by designing robust architecture, developing new features, and taking operational responsibility for the built components. Day-to-day tasks include developing data visualization tools, building real-time frontend services for graph data editing, and owning projects end-to-end.
The role involves designing, developing, and maintaining modern data pipelines and Lakehouse architectures primarily using Azure Databricks, Spark, and Azure Data Factory. Key tasks include building data transformations with PySpark/SQL, implementing Delta Lake, and integrating data from various sources into the platform.
This people management role requires guiding Staff+ engineers who own technical depth, ensuring they are fast, focused, and well-supported across the data sync engine, query engine (DQL), and embedded database performance workstreams. The engineer will drive execution through clear written communication, ruthless prioritization, and a relentless focus on shipping product features.
The role involves architecting, implementing, and shipping data-driven product features, applying appropriate technology from simple heuristics to advanced AI, always prioritizing customer problems. Responsibilities also include building maintainable and scalable production systems, operating end-to-end from opportunity identification to feature productionalization.
The role involves designing, implementing, and optimizing end-to-end data pipelines for scraping and processing structured and unstructured data using GCP, alongside conducting ad hoc data collection for intelligence initiatives. Responsibilities also include preparing data via cleaning and transformation, contributing to API development, and collaborating with engineering teams to deliver insights and tools.
Data Engineer, Analytics Data Products
The New York Times
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Full Time
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18 Weeks Ago
The New York Times
The role involves designing, modeling, and implementing complex ELT/ETL pipelines within a medallion architecture, taking full ownership of data product structure, documentation, and performance. Responsibilities also include developing advanced data transformations using dbt and PySpark, managing physical data storage across GCP and AWS, and owning core components of the centralized analytics environment.
The role involves designing and implementing scalable data models within Snowflake and building transformation pipelines using dbt, while also developing reports and dashboards in Power BI for business stakeholders. Key duties include optimizing Snowflake warehouses and ensuring data governance and security compliance across deployment environments.
The role involves designing, building, and maintaining scalable data pipelines and architecting/optimizing cloud data warehouse solutions for clients across various industries. Responsibilities also include leading data integration projects, championing data quality, and producing comprehensive technical documentation for client ownership.
The role involves architecting production-grade data pipelines to integrate clinical data from diverse EHR and payer systems using healthcare standards, while leading end-to-end integration efforts with various health partners. Additionally, the engineer will build and optimize cloud-native data infrastructure using modern orchestration tools and develop reusable frameworks to accelerate new data source onboarding.
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The role involves partnering with customers to design, optimize, and implement electrical power delivery solutions for next-generation data centers, serving as a trusted technical advisor. Responsibilities include collaborating on application strategies, supporting sales with technical expertise, leading advanced engineering assignments, and coordinating testing and installation activities.
Senior Data Engineer with Google Cloud (GCP) 23 APPLICANTS
Deutsche Telekom IT Solutions Slovakia
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Full Time
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18 Weeks Ago
Deutsche Telekom IT Solutions Slovakia
The role involves analyzing complex data elements and systems to contribute to data models, and designing, building, implementing, and maintaining database structures to support business needs, including integrating vendor solutions. The engineer will also develop scalable data processing platforms and oversee junior data engineers.
Senior Data Engineer (GCP preferred / Azure / AWS) 21 APPLICANTS
Deutsche Telekom IT Solutions Slovakia
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Full Time
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18 Weeks Ago
Deutsche Telekom IT Solutions Slovakia
The Senior Data Engineer will develop, construct, test, and maintain data architectures, including databases and large-scale processing systems, ensuring they support business requirements. This role involves analyzing complex data elements, designing database structures, managing data tool lifecycles, and overseeing junior engineers.
Senior Data Engineer (GCP preferred / Azure / AWS) 19 APPLICANTS
Deutsche Telekom IT Solutions Slovakia
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Full Time
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18 Weeks Ago
Deutsche Telekom IT Solutions Slovakia
The senior data engineer develops, constructs, tests, and maintains data architectures like databases and large-scale processing systems, ensuring they meet business requirements and collaborating with Data and Analytics teams to gather technical requirements for data governance. Responsibilities include designing database structures, managing data lifecycle, performing data manipulation, and developing scalable data processing platforms.
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