Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.
Remote Data Engineer Jobs (2,747)
Search = Data Engineer
Sr Data Engineer (Snowflake) | Dayshift | Remote
ZigZag Careers
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Full Time
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5 Weeks Ago
ZigZag Careers
Design, build, and scale modern cloud-based data platforms with a primary focus on Snowflake architecture and performance. Develop robust ELT/ETL pipelines and curated data models to enable trusted analytics and self-service reporting across the organization.
Design, develop, and maintain scalable data pipelines and high-performance Spark applications for batch and real-time processing. Implement Kafka-based streaming solutions and manage data architectures using Delta Lake across Azure and AWS platforms.
Staff Data Engineer (Reporting & Analytics) (f/m/d) - Kraków (onsite) OR Poland (remote)
Danaher
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Full Time
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5 Weeks Ago
Danaher
Design and improve data management and analytics functions to build strategies aligned with business priorities. Build and maintain analytics-ready datasets and semantic layers to enable self-service access for stakeholders.
The Senior Data Engineer will own the architecture, development, and optimization of the LIFT Digital Marketing Analytics Platform. This includes building scalable data pipelines, integrating AI-driven capabilities, and translating complex datasets into actionable marketing insights.
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The Senior Data Engineer will build and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS platform. Responsibilities include developing data pipelines, leading code reviews, and collaborating with cross-functional teams to ensure scalability and security.
Principal Data Engineer
Wintrust Financial Corporation
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Full Time
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5 Weeks Ago
Wintrust Financial Corporation
Develop and maintain data solutions on the Master Data Management platform using best practices. Implement DevOps for data integrations and support continuous improvement processes for the MDM application.
The role involves designing and executing complex data pipelines to normalize varied datasets and manage data lakes. You will collaborate with cross-functional teams to build robust batch-processing systems and champion engineering excellence.
Build and maintain data pipelines, models, and infrastructure using Python, SQL, and dbt to support the progressive movement. Collaborate with national and state data staff to transform warehouse data into usable tools and tables.
Design, develop, and ship high-quality technical solutions and APIs that scale across multiple GitHub services. Provide technical leadership and mentorship while owning the health and operational excellence of the systems built.
Software Data Engineer, See & Spray
Blue River Technology
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Full Time
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5 Weeks Ago
Blue River Technology
Build and maintain production data pipelines for the data lifecycle, including upload, processing, and visualization. Design full-stack applications to analyze vector and raster data while collaborating with cross-functional robotics and ML teams.
Design and optimize heat rejection and HVAC systems specifically for data centers, ensuring redundancy and energy efficiency. Conduct CFD analysis and heat load calculations to maintain optimal cooling and airflow for critical IT equipment.
Design, deploy, and monitor scalable data infrastructure and high-performance pipelines to handle large volumes of data. Provide tools, guidelines, and access policies to ensure data is accessible, secure, and efficient for the entire company.
Design and maintain ELT/ETL pipelines to move insurance data from core administration systems into a cloud data warehouse. Partner with actuarial and finance teams to transform operational data into usable formats for reporting and ML models.
Architect and maintain large-scale Spark-driven data pipelines and platforms to enable advanced automation and analytics. Develop AI-augmented tooling, including MCP servers and AI agents, to accelerate data engineering workflows.
Lead and perform structural design and analysis for hyperscale and colocation data center facilities. Coordinate deliverables across multidisciplinary teams and provide technical guidance to junior engineers.
Lead and perform structural design and analysis for hyperscale and colocation data center facilities. Coordinate deliverables across multidisciplinary teams and provide technical mentorship to junior engineers.
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Architect and implement data integration bridges between customer warehouses and Hilbert's AI growth engine. You will build semantic layers and canonical models to ensure AI agents have a high-fidelity view of business data.
Define the architecture and technical direction for data pipelines and integration platforms at scale. Lead the design of workflow orchestration systems and internal AI-driven tooling to accelerate engineering velocity.
Design and build the data infrastructure powering analytics, AI, and machine learning, focusing on the migration to a multi-engine Data Lakehouse. Own features end-to-end from ingestion and processing to storage and consumption while leveraging AI tools to scale impact.
Design, develop, and deploy Power BI solutions and data models to provide advanced analytics and business insights. Manage data ingestion, ETL processes, and performance tuning for complex SQL and DAX queries within a TAX platform.
Comm Ops Data Engineer - Shockwave Medical
Johnson & Johnson Innovative Medicine
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Full Time
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5 Weeks Ago
Johnson & Johnson Innovative Medicine
Develop and maintain SQL-based ETL pipelines to extract and transform data from enterprise warehouses. Collaborate with business groups to create semantic models and views in Snowflake for advanced analytics and AI modeling.
Define enterprise-wide data architecture, platform strategy, and governance standards to ensure scalability and performance. Lead large-scale modernization projects and mentor senior engineers to elevate the organization's data engineering maturity.
Design, build, and operate production-grade data pipelines and ingestion frameworks to power analytics and operational visibility. Develop dbt models and core analytical datasets to enable company-wide metrics for care outcomes.
Mid/Senior Data Engineer — Data Platforms & ERP Integration (Contract Role)
Modus Create
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Full Time
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5 Weeks Ago
Modus Create
Design and build data pipelines to extract data from enterprise ERP systems and transform them through medallion architectures. Deliver governed, AI-ready data products while collaborating with business stakeholders to validate data models.
Design, build, and maintain scalable data pipelines and infrastructure to support data-driven decision-making. Lead the development of data architecture and standards for the enterprise data warehouse while ensuring data security and quality.
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Senior Data Engineer - Corporate Data Analytics Group
Canadian Bank Note Company
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Full Time
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5 Weeks Ago
Canadian Bank Note Company
Design, build, and operate scalable cloud data platforms and production-grade pipelines using Azure, Fabric, and Databricks. The role focuses on implementing lakehouse architectures to power analytics, AI, and ML workloads across the organization.
Build and scale robust data solutions and high-performance pipelines for extraction, loading, and transformation. Collaborate with stakeholders to transform business use cases into production-ready services while ensuring data quality through rigorous testing.
Design, implement, and manage a scalable multi-cloud data platform using AWS, Azure, and Snowflake. Develop ELT pipelines and data models while ensuring robust data governance and security frameworks.
Responsible for modernizing and optimizing the foundational data ecosystem to power analytics, machine learning, and AI-driven workflows. This includes designing and maintaining scalable data infrastructure and production-grade data pipelines on Snowflake.
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