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.
Remote Data Engineer Jobs (2,552)
Search = Data Engineer
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.
The Senior Data Engineer will work with operations to monitor and create dashboards, collaborate with architects and tech leads on design, and troubleshoot performance issues. The role requires attention to detail and the ability to handle fast-paced projects while adapting to new technologies.
The Senior Data Engineer will develop data software applications, platforms, and products while collaborating with various teams to create scalable solutions. Responsibilities include defining engineering standards, performing data analysis, writing high-quality code, and ensuring operational readiness.
Senior Data Engineer (Especialista em Azure/ Databricks) 17 APPLICANTS
Keyrus Brazil
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Full Time
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9 Weeks Ago
Keyrus Brazil
Build and maintain data ingestion and processing pipelines from multiple sources. Develop ETL/ELT processes using Python, Apache Airflow, and Azure Data Factory.
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The Senior Data Engineer will plan and execute multiple large projects while assisting in the identification and delivery of strategic infrastructure and analytical capabilities. They will design, implement, and maintain ETL processes and contribute to the development of best practices for data transformation and reporting.
The Senior Data Engineer will plan and execute multiple large projects while assisting in the identification and delivery of strategic infrastructure and analytical capabilities. They will design, implement, and maintain ETL processes and contribute to the development of best practices for data transformation and reporting.
The Staff Data Engineer will lead the design and evolution of enterprise data architecture and develop robust data pipelines. This role involves influencing data practices across the organization and ensuring systems are scalable and reliable.
The Azure Data Engineer will design, build, and maintain scalable data pipelines and optimize data processing using Apache Spark. They will also enforce software engineering practices and act as a technical mentor to peers.
Act as the primary technical contact for Securiti AI solutions during the sales cycle and lead technical discussions. Design and present product demonstrations and proof-of-concepts while collaborating with various teams to ensure smooth transitions.
The Senior Data Engineer is responsible for designing and developing data processing and persistence software components for large-scale data solutions, working within agile teams to provide strong development leadership. Responsibilities cover the full software lifecycle, including design, coding, testing, defect resolution, and ensuring software meets non-functional requirements.
Senior Systems Software Engineer, Data Center Infrastructure Management - EngOps
NVIDIA
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Full Time
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10 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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10 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.
Principal PLC Controls & Automation Engineer – Data Center Infrastructure
Jabil
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Full Time
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10 Weeks Ago
Jabil
This role serves as the technical authority for automation architecture in advanced liquid-cooled factory and data center ecosystems, driving the controls strategy and system-level design for mission-critical cooling infrastructure. The engineer will lead by authoring control philosophies, outlining architectures, and writing reliable, multi-platform PLC automation code from concept through commissioning.
Senior Software Data Engineer
Ensemble Health Partners
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Full Time
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10 Weeks Ago
Ensemble Health Partners
The role involves designing, architecting, and delivering high-impact software services and features, owning significant components end-to-end from discovery through deployment. Responsibilities also include collaborating with Product and stakeholders, influencing architectural decisions, and driving engineering excellence through practices like code reviews and mentoring junior engineers.
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 lead the implementation of AI and LLM-based tooling to automate data engineering workflows, including developing automated frameworks for ingestion, transformation, orchestration, and deployment using AI accelerators. Responsibilities also include taking technical ownership of software components, designing solutions, providing production support, and ensuring operational readiness.
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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 Senior Data Engineer will lead the implementation of AI and LLM-based tooling to automate data engineering workflows, including developing automated frameworks for ingestion, transformation, orchestration, and deployment using AI accelerators. Responsibilities also include taking technical ownership of software components, designing solutions, providing production support, and ensuring operational readiness.
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.
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.
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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.
Senior Data Engineer – Power BI & Azure Databricks 15 APPLICANTS
Acuity Analytics
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Full Time
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10 Weeks Ago
Acuity Analytics
The role involves building and enhancing Power BI dashboards, datasets, and semantic models, applying best-practice data modeling, and developing DAX measures for key claims KPIs. Additionally, the engineer will work with Azure Databricks (Delta Lake) to support curated data layers and build SQL/PySpark transformations for reporting.
Sr. Principal Mechanical Integration Engineer – Data Center Liquid Cooling (REMOTE) 12 APPLICANTS
Jabil
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Full Time
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10 Weeks Ago
Jabil
This role leads early phase factory design by scoping, specifying, and integrating mechanical and cooling systems, mimicking data center infrastructure functionality where required, and translating product and process requirements into scalable factory architectures. The engineer will also lead test process implementation and equipment selection to maintain high standards of operational excellence and reliability.
This role involves defining the long-term data engineering strategy, designing complex data ecosystems across pipelines and APIs, and driving engineering excellence through high-impact technical choices. Responsibilities also include delivering major features at scale, enforcing data governance policies, and influencing cross-functional roadmaps.
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