1,678 Data Engineering jobs available for remote work from home. Apply for positions such as Software Development Engineer 2- Data Engineering, Manager, Forward Deployed Engineering, Principal Data Engineer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The SDE 2 will design and maintain robust data pipelines and models within Snowflake to power the Customer Data Platform. They will also lead technical architecture decisions, mentor junior engineers, and collaborate with cross-functional teams to ensure data quality and business alignment.
Lead and develop a high-impact team of Forward Deployed Engineers to ensure consistent, high-quality enterprise deployments. Manage project delivery, capacity planning, and technical escalations while fostering scalable field engineering practices.
You will lead the technical direction and architecture of the data platform to ensure scalable, reliable data flows that power AI-driven product experiences. This involves building production-grade pipelines, establishing data modeling standards, and enabling machine learning at scale across the organization.
You will lead the design, development, and management of data assets and pipelines while spearheading the integration of new datasets. Additionally, you will collaborate with cross-functional partners to translate functional needs into reliable, high-quality data products.
Design, build, and operate large-scale data processing pipelines and analytics platforms using the Hadoop ecosystem. Ingest, transform, and analyze massive volumes of structured and unstructured data to support enterprise analytics and machine learning workloads.
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The Senior Analyst will analyze data, build value stream maps, and identify process improvement opportunities to support healthcare data management strategies. They will also develop executive-level reports, dashboards, and business cases to guide client decision-making and modernization initiatives.
Design, develop, and maintain high-performance real-time data processing applications using Apache Flink and Kafka. Collaborate with cross-functional teams to define transformation rules and ensure streaming pipeline performance and reliability.
You will lead cloud infrastructure design and migration efforts on AWS while developing scalable Django-based applications. Additionally, you will act as a technical advisor to stakeholders and mentor junior engineers to ensure secure, cost-efficient, and high-performance cloud solutions.
Lead the design and development of large-scale, distributed data systems to support machine learning models and product features. Collaborate across engineering teams to build reliable data pipelines and mentor team members to drive impactful outcomes.
The Account Executive will proactively engage targeted prospects through high-volume outbound outreach to generate qualified meetings and close deals. They will also manage the full sales journey, maintain accurate CRM records, and collaborate with internal teams to refine messaging and market insights.
This role involves engineering a Revenue Intelligence Engine to transform raw telemetry into actionable insights for customer growth and retention. Responsibilities include building scalable systems for lead scoring, expansion modeling, and churn prediction while collaborating with cross-functional teams.
The Principal Data Engineer designs, builds, and maintains robust data pipelines and infrastructure to support analytics and business intelligence initiatives. They collaborate with cross-functional teams to democratize data, ensure data integrity, and mentor junior staff on engineering best practices.
Develop and deploy production-grade AI products using LLMs, NLP, and ML tools to drive clinical recommendations and disease identification. Collaborate with cross-functional teams to communicate AI impact and ensure technical requirements align with clinical and business goals.
The Data Engineer will design, build, and manage scalable data pipelines while delivering impactful business analytics. They will collaborate with cross-functional teams to optimize data infrastructure and automate manual processes to support operational outcomes.
The CDP Developer designs, implements, and maintains customer data solutions to ensure a unified customer view across digital and offline channels. They collaborate with cross-functional teams to manage data ingestion, audience segmentation, and activation workflows while ensuring data quality and compliance.
The Senior Technical Architect will lead the design, implementation, and optimization of enterprise-scale customer experience solutions using Adobe Experience Platform. They will coordinate cross-functional teams to execute strategic implementation plans while ensuring data quality, security, and performance across production environments.
Design, develop, and deploy scalable AI, machine learning, and advanced analytics solutions to drive business value. Build and maintain robust data pipelines and enterprise data assets while ensuring data governance and security.
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The role involves building scalable ETL/ELT pipelines and designing integration solutions between Salesforce and enterprise applications. You will also conduct deep-dive data analysis and implement automated data quality controls to ensure system performance and governance.
Design and implement automated data quality validation and monitoring processes across cloud-native data pipelines. Collaborate with stakeholders and engineering teams to translate data quality findings into actionable improvements and technical solutions.
The Senior Data Engineer will lead the design and implementation of scalable ingestion architectures and data models for a federal agency's cloud-native platform. They will also serve as a team lead, managing technical delivery, mentoring staff, and acting as the primary liaison between the team and customer leadership.
This role involves designing, building, and maintaining scalable data pipelines and ETL/ELT workflows between corporate IT systems and the data lake. You will also collaborate with stakeholders to implement data quality governance and integrate solutions with cloud platforms.
The Data Support Engineer serves as the primary point of contact for data platform incidents, user access requests, and reporting issues. They also monitor data integrations, maintain support documentation, and assist with data quality validation and cleansing tasks.
You will design and maintain scalable data pipelines and backend services to transform nutrition data into actionable insights. Additionally, you will collaborate with data scientists to productionize machine learning models and enhance the company's data analytics platform.
The Performance & Data Optimization Engineer monitors and optimizes enterprise cloud data platforms to ensure efficiency, reliability, and cost-effectiveness. Responsibilities include tuning database performance, managing system health, and collaborating with engineering teams to resolve bottlenecks.
The role involves designing and building AI/ML pipelines for threat detection and response while establishing a detection-as-code workflow. You will lead technical projects to improve security coverage and automate high-volume triage tasks.
The BI Report Developer designs, develops, and deploys advanced Power BI reports and dashboards using structured data from Microsoft Fabric, SQL Server, and Synapse Analytics. They also collaborate with data engineering teams to optimize data models and present complex findings to executive stakeholders.
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The Staff Data Engineer will design and build reliable data pipelines and infrastructure while driving key initiatives across the data platform. They will also implement data governance, quality standards, and integrate AI-assisted tools into development workflows.
You will lead the design and scaling of the data platform while building reliable pipelines to support analytics and machine learning. Additionally, you will mentor team members and establish engineering standards to improve data quality and system observability.
You will build and maintain reliable ELT pipelines and dbt models within a Snowflake environment to ensure data trustworthiness. Additionally, you will design data infrastructure, implement monitoring, and evolve governance standards to support company-wide analytics and AI/ML initiatives.
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