Develop and manage scalable data pipelines and architectures using Snowflake and cloud-native platforms. Collaborate with client stakeholders to deliver high-quality data ingestion, transformation, and governance solutions.
Remote Data Engineering Jobs (1,306)
Tags = data-engineering
The role involves gathering and documenting data-related system requirements and translating business needs into actionable technical specifications. The analyst will act as a liaison between product managers, technical teams, and stakeholders to ensure alignment and project delivery.
Own and modernize the company's data platform by transitioning to a lakehouse architecture using AWS services and dbt. Manage the deployment, scaling, and orchestration of the data stack while ensuring reliability, security, and cost-efficiency.
Design and implement scalable ETL processes and own the technical architecture of the data platform. Collaborate with stakeholders to build backend components and convert business needs into concrete deliverables.
Lead the strategy, design, and execution of technical training programs to scale engineering talent development. Optimize training operations and establish measurement frameworks to ensure high-quality technical output and ROI.
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Build the data foundation for AI and business intelligence by designing semantic data models and scalable pipelines. Develop and maintain software solutions to ensure products are functional, efficient, and scalable.
The role involves bridging the gap between unstructured real-world clinical data and AI models by designing data dictionaries and harmonizing data pipelines. You will act as the technical interface with global partners to ensure data integrity and automate cleaning tasks using Python.
The role involves bridging the gap between unstructured real-world clinical data and AI models by designing data dictionaries and harmonizing data pipelines. You will act as the technical interface with global partners to ensure data quality and reproducibility using Python.
Design and implement production-grade machine learning systems to enhance threat detection and automate security analysis for ICS and xOT cybersecurity. Collaborate with data engineers and OT experts to build scalable ML workflows and optimize model performance in cloud and on-premises environments.
Design and implement production-grade machine learning systems to enhance threat detection and automate security analysis for ICS and xOT cybersecurity. Collaborate with data engineers and OT experts to build scalable ML workflows and optimize model performance in production.
Lead the re-architecture and modernization of core data systems to enable scalable and secure pipelines for cloud and on-prem environments. Collaborate cross-functionally to create analytics for discovering IOCs on xOT assets and align team efforts with the company's data strategy.
Design and implement sustainable data contracts and transformation layers to support performant analytics. Collaborate with product engineering teams to deliver data solutions and establish shared tooling for observability and lineage tracking.
Lead the design and implementation of enterprise-scale Data and AI platforms, focusing on scalable architectures and governance. Drive the adoption of Generative AI and Agentic AI solutions to modernize business capabilities.
Data Engineer II - (Remote)
Fanatics Betting & Gaming
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Full Time
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2 Weeks Ago
Fanatics Betting & Gaming
Implement data ingestion pipelines and Airflow DAGs based on senior designs while ensuring data security and governance. Collaborate with stakeholders to gather requirements and maintain pipeline health through on-call support and code reviews.
Own and operate the enterprise data platform, focusing on Microsoft Fabric, Lakehouse management, and the creation of trusted Gold datasets. Build and maintain ETL/ELT pipelines while providing SQL Server administration support for GIS and other enterprise systems.
Implement and operate the enterprise data governance program to strengthen data quality, stewardship, and regulatory compliance. Lead the strategic transition of the organization from a Data Processor to a Data Controller while partnering with cross-functional teams.
Define the target-state architecture and semantic-layer strategy for Zillow's customer experience data foundation. Lead the creation of reusable data-product patterns and governance standards to ensure scalable and trustworthy intelligence across the organization.
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Lead the design and implementation of a scalable enterprise data platform using Snowflake, DBT, and AWS for a leading insurance client. Drive report rationalization and the adoption of Medallion Architecture to enable advanced analytics and self-service reporting.
Act as the primary public technical advocate for Onehouse by creating high-quality technical content and delivering presentations. Build production-grade demos and collaborate with product teams to integrate community feedback into the product roadmap.
Data Solutions Engineer - HYBRID/NC RESIDENTS ONLY
PowerSecure, Inc.
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Full Time
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2 Weeks Ago
PowerSecure, Inc.
Design, build, and operate scalable data pipelines on the Azure platform to enable analytics and self-service BI. Responsibilities include implementing ELT pipelines, ensuring data quality, and collaborating with stakeholders to deliver curated Delta tables.
Lead the architectural transformation and modernization of data systems using Databricks and AWS to serve customers via purpose-built data stores. Design scalable data pipelines and systems to support AI-readiness, ML models, and LLM applications while mentoring other data engineers.
Serve as the senior technical expert for Business Intelligence and Data Analytics support, resolving complex customer issues and optimizing SQL solutions. Mentor analysts and partner with Customer Success to improve platform adoption and technical excellence.
Serve as a strategic analytics partner to Product and Marketing teams to optimize the customer journey from acquisition to retention. Lead experimentation strategies, develop predictive models, and design dashboards to drive data-driven investment and product decisions.
Applied Artificial Intelligence Engineer
Vanderbilt University
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Full Time
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2 Weeks Ago
Vanderbilt University
Design and deploy AI-powered features and LLM tools to personalize medical education within the VSTAR platform. Build and maintain ML pipelines in Databricks while collaborating with educational leadership to implement AI strategies.
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Lead the design and development of a production data platform to power machine learning across the organization. Create scalable, reusable feature pipelines and datasets that support model training, experimentation, and production inference.
Develop and maintain interactive BI dashboards and reporting frameworks to track digital media campaign performance. Collaborate with data engineering teams to define business requirements and ensure data integrity through rigorous QA and validation.
Provide analytical support to global Sales and Sales Ops to ensure the accuracy of Finance KPIs like ACV and ARR. Build reporting datasets and dashboards while collaborating with CRM and Data Engineering teams to maintain data quality.
Lead the design and implementation of scalable data pipelines and ETL workflows using Microsoft Fabric. Partner with stakeholders to transform ambiguous business needs into production-ready data solutions and advanced analytics.
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