Transform raw trade and transaction-level data into high-value consumer features. Collaborate with various teams to maximize impact across marketing, risk assessment, and collections.
Remote Data Engineer Jobs (2,551)
Search = Data Engineer
The Engineering Manager will set technical direction and drive architectural improvements for data ingestion, transformation, and serving. They will also manage and grow the data engineering team while ensuring strong collaboration across the organization.
Senior Manager, Software Engineering (Data & Storage Services)
Affirm
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Full Time
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23 Weeks Ago
Affirm
Lead a team of engineers and managers to develop frameworks, systems, and tools for new Affirm products. Oversee storage services and collaborate with various teams on security, architecture, and project delivery.
Senior Manager, Software Engineering (Data & Storage Services)
Affirm
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Full Time
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23 Weeks Ago
Affirm
Lead a team of engineers and managers to develop frameworks, systems, and tools for new Affirm products. Oversee storage services and collaborate with various teams on security, architecture, and project delivery.
The Design Manager will be responsible for accelerating growth in the Data Center Division through innovative design strategies and collaboration across multiple disciplines. This role includes overseeing design execution for multi-disciplinary project teams and ensuring alignment with client objectives.
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The role involves leading data engineering teams and ensuring the successful completion of data components and deliverables. It also includes maintaining high-quality data pipelines for legal research tools and AI-driven solutions.
Senior Trainer – Data Engineering (Advanced + AI Integration)
Revature
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Full Time
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24 Weeks Ago
Revature
The Senior Trainer will deliver in-depth, interactive training sessions on advanced data engineering and AI integration. They will guide learners through projects that combine data pipelines with model development and deployment.
Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks. Establish data architecture processes and practices that can be scheduled, automated, and replicated for other teams to leverage.
Transform raw trade and transaction-level data into high-value consumer features. Collaborate with various teams to maximize impact across marketing, risk assessment, and collections.
Sr Manager, Data Engineering
McDonald's Corporation
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Full Time
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29 Weeks Ago
McDonald's Corporation
The Senior Manager, Data Engineering will partner with product and business teams to define problems and translate them into data-driven solutions. They will design, build, and optimize end-to-end machine learning pipelines and collaborate with cross-functional teams to implement effective ML solutions.
Define and lead the data vision at Flashfood, shaping how data drives decision-making and product innovation. Build and manage a high-leverage team across data engineering, analytics, and machine learning.
Lead the Data Platform team in maintaining data pipelines, orchestration, and advanced analytics capabilities. Partner across business units to set and execute the company's foundational data strategy.
Lead and mentor a team of six backend engineers while remaining a hands-on contributor using agentic coding tools. Drive the design and evolution of microservice architecture and own the full engineering lifecycle for data services.
Lead the strategy, execution, and evolution of Calendly's modern data platform, overseeing systems and architecture for scalable data access. Manage the Enterprise Data Warehouse and near-real-time data systems while mentoring and developing engineering teams.
Lead the Analytics Engineering function for Monopoly GO!, defining the strategy, vision, and operating model for data assets. Own the data platform architecture and the metrics layer to ensure scalable, reliable insights and AI-enabled workflows.
Drive the data quality strategy across enterprise platforms and design testing for ETL/ELT pipelines. Build automated testing frameworks to ensure data accuracy, reliability, and performance.
Own and drive the data quality strategy across enterprise data platforms. Design and implement automated testing frameworks for ETL/ELT pipelines to ensure data accuracy and reliability.
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Drive the data quality strategy across enterprise platforms and design testing for ETL/ELT pipelines. Build automated testing frameworks to ensure data accuracy, reliability, and performance.
Own and drive the data quality strategy across enterprise data platforms. Design and implement automated testing frameworks for ETL/ELT pipelines to ensure data accuracy and reliability.
Lead and mentor a team of data engineers to modernize the data ecosystem and manage the Common Event Bus architecture. Bridge the gap between raw infrastructure and actionable insights while collaborating cross-functionally to translate business needs into data models.
Lead and scale the data infrastructure to support product intelligence, AI, and growth initiatives for over 60 million users. Drive architectural decisions and manage a team of engineers to deliver a reliable, scalable, and cost-efficient data platform.
Lead and scale the data infrastructure for Quillbot to support product intelligence, AI, and growth initiatives. Manage a team of engineers while driving architectural decisions for real-time and batch data processing.
Lead a team of data scientists to build LTK's native AI platform and conversational AI capabilities. Drive the development of LLM-powered workflows and partner with engineering to productionize scalable AI solutions.
Lead and mentor a team of data engineers while driving the technical direction of the data and reporting platform. Oversee architectural decisions, operational health, and the delivery of the data platform roadmap to align with business needs.
Build and lead the AI Data Platform team while taking full technical and operational ownership of clinical imaging data ingestion and transformation. Define the technical roadmap and ensure the platform is scalable, secure, and compliant with healthcare regulations.
Oversee the design and delivery of innovative software solutions while leading and coaching teams of software engineers. Collaborate with Product Managers to align technical activities with business goals and maintain high engineering standards.
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Senior Engineering Manager – Data and Analytics Platform Engineering
TELUS Agriculture & Consumer Goods
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Full Time
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4 Weeks Ago
TELUS Agriculture & Consumer Goods
Lead the Data and Analytics Platform Engineering team to build a scalable, enterprise-grade analytics ecosystem. Define the technical strategy and oversee the design and implementation of complex architectures to transform data into actionable insights.
Lead and hire for two sub-teams focused on blockchain intelligence data products, from ingestion and processing to front-end delivery. Own the platform supporting over one petabyte of intelligence products and drive the architecture for foundational AI infrastructure.
Lead a high-impact engineering team to build the intelligence layer for internal tools and client-facing AI experiences. This role involves balancing people management with hands-on coding to design scalable AI agents and data architectures.
Director of Product Engineering - Clinical Data Management / EDC
Fortrea
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Full Time
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5 Weeks Ago
Fortrea
Lead the strategy, development, and lifecycle of data management products for the life sciences sector. Bridge the gap between technology and business to ensure products meet industry standards and strategic business goals.
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