Remote Data Engineering Jobs (1,307)
Tags = data-engineering
You will own the inventories, playbooks, and data architecture required to keep systems audit-ready while building ETL pipelines and dashboards. The role involves collaborating with internal teams to ensure data reliability, governance, and traceability for financial and reporting processes.
You will own the inventories, playbooks, and access processes to ensure data systems remain audit-ready while building ETL pipelines and data architecture. The role involves collaborating with internal audit, risk, and engineering teams to improve data governance and provide technical guidance for audit requests.
The Principal Software Engineer will lead the architectural evolution of the customer-facing platform from a .NET monolith to a modular, service-based architecture. They will also write production code, establish engineering standards, and mentor team members to ensure high-quality delivery.
The Senior Data Scientist will partner with marketing and product teams to optimize customer acquisition, conversion, and retention through data-driven insights. They will build statistical models, design experiments, and translate complex business questions into actionable machine learning solutions.
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Design, develop, and deploy AI-powered solutions and automated DevOps workflows to optimize infrastructure and operational efficiency. Manage and secure Azure resources, Databricks workspaces, and CI/CD pipelines while collaborating with cross-functional teams.
You will lead the architecture, design, and delivery of enterprise data platforms, including Master Data Management and cloud-based data services. Additionally, you will manage a team of data engineers and developers while overseeing technical direction, project initiatives, and system integrations.
The role involves transitioning billing operational tasks from Data Engineering to Finance while maintaining robust data pipelines and billing infrastructure. You will also build BI dashboards, automate financial data tasks, and perform revenue integrity audits to reduce leakage.
You will design and maintain a central data ecosystem, building scalable data products that serve as a single source of truth for over 60 global brands. Additionally, you will lead architectural design, implement data governance frameworks, and collaborate with cross-functional teams to drive business intelligence and AI initiatives.
Director, GTM Intelligence & Analytics
Barracuda Networks Inc.
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Full Time
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4 Days Ago
Barracuda Networks Inc.
Lead the analytics strategy, roadmap, and team to support decision-making across Sales, Marketing, Channel, and executive leadership. Establish governance processes to ensure consistent, trusted metrics and reporting logic across the revenue organization.
Sr. experimentado - Compliance Enablement Specialist (Data Engineer)
PwC
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Full Time
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4 Days Ago
PwC
Design, build, and maintain data pipelines using Python and SQL while managing Azure-based data platforms. Collaborate with stakeholders to provide business-friendly insights and ensure data quality through process improvements.
You will build and ship LLM-powered features and agentic workflows within a complex financial platform. You will also own the data engineering layer to ensure high-quality data pipelines and retrieval architectures for AI systems.
The Lead Data Engineer will design, develop, and optimize scalable data pipelines and ingestion frameworks while providing technical leadership across complex initiatives. This role also involves enforcing data governance and security standards while mentoring engineering team members.
You will own backend development for core case execution systems including eligibility, batching, and claim orchestration. You will also collaborate cross-functionally to build and improve systems that coordinate case staging, routing, and resolution.
The consultant will assess the current data infrastructure and educate leadership on traditional and AI-native data engineering foundations. They will also design the target data platform architecture, focusing on PostgreSQL migration, canonical data modeling, data residency, and governance frameworks.
Develop and maintain robust data infrastructure and pipelines to support medical analytics and HCP prioritization models. Collaborate with cross-functional teams to design technical architectures and ensure high-quality data delivery for analytical projects.
Product Manager - Data Enablement and Communications (Remote)
Progressive Leasing
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Full Time
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4 Days Ago
Progressive Leasing
Own the product roadmap for data enablement, customer communications, and eMarketing tooling to support marketing and lifecycle functions. Lead cross-functional initiatives by translating complex business needs into clear technical requirements for engineering teams.
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Design and maintain AI-powered applications and scalable cloud-native data platforms using Python, TypeScript, and AWS. Build and optimize end-to-end data pipelines while developing production-ready LLM-powered solutions and agentic AI systems.
You will own the data tier, designing denormalized read models and snapshot tables to ensure high-performance patient data access. Additionally, you will manage ETL pipelines, implement data quality checks, and oversee the de-identification path for offshore development.
Data Analytics Lead (Property & Casualty)
Team Focus Insurance Group
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Full Time
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4 Days Ago
Team Focus Insurance Group
The Data Analytics Lead drives strategic data initiatives by designing end-to-end analytics projects and building predictive models to inform P&C insurance business decisions. They also act as a key liaison between technical teams and executive leadership while providing mentorship to junior analysts.
Senior/Strategic Digital Analytics Consultant - UK
Quantum Metric
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Full Time
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4 Days Ago
Quantum Metric
Serve as a strategic advisor for high-impact enterprise accounts to drive digital strategy and business outcomes. Leverage AI to automate analytical workflows and mentor the consulting team to scale best practices.
You will architect and maintain scalable data pipelines and semantic layers to support AI-ready data structures. Additionally, you will champion engineering best practices, mentor team members, and drive architectural decisions across the data platform.
Kafka and Streaming Engineer
Converge Technology Solutions
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Full Time
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4 Days Ago
Converge Technology Solutions
The Kafka/EDA Engineer is responsible for designing, developing, and supporting streaming integration solutions using Kafka and related technologies. This role involves working through the full SDLC, from detailed design and schema development to deployment and production support.
You will own the end-to-end development of AI products, from initial concept and requirement gathering through to production deployment. Additionally, you will serve as the primary technical contact for clients, managing data pipelines, system reliability, and performance metrics.
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Design, build, and maintain scalable data infrastructure to support AI-powered products and analytics across a global real estate portfolio. You will own data initiatives from raw ingestion through to production, ensuring data quality, governance, and accessibility for downstream AI systems.
The Data Scientist will build and maintain dashboards, reports, and analytics to provide actionable insights across the organization. They will partner with stakeholders to define metrics and ensure data quality while writing production-level SQL and Python code.
Architect and implement scalable ETL and data pipelines to support real-time risk management and AI-driven decisioning. Collaborate with cross-functional teams to design high-performance data storage solutions and ensure end-to-end data flow reliability.
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