1,683 Data Engineering jobs available for remote work from home. Apply for positions such as Senior Software Engineer (Insurance Tech), Senior BI Developer, Senior Data Engineer, EIM, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
Trusted by 200,000+ remote workers worldwide.
Build and enhance enterprise SaaS applications by writing production code and modernizing legacy platforms. Partner with Product, Data Science, and Data Engineering teams to deliver scalable backend services and intuitive applications.
The role involves designing and maintaining gold-layer data models and a governed metrics layer in Snowflake using dbt. Additionally, the developer will build high-performance dashboards and analytics experiences using enterprise BI platforms.
Design and implement a scalable internal data platform and data warehouse from the ground up to drive business outcomes. Lead the technical vision for data infrastructure, creating data models and ETL workflows to integrate various business applications.
Build and maintain robust ETL pipelines and internal frameworks to support AI/ML features and prompt-based LLM workflows. Collaborate with cross-functional teams to ensure data reliability, scalability, and the implementation of engineering best practices.
Design, develop, and maintain ETL/ELT pipelines across BigQuery, PostgreSQL, and Snowflake to support AI workflows. Establish data contracts, schema standards, and observability strategies to ensure high data quality and reliability.
We watch for new remote data engineering jobs and email you the matches. Free. Unsubscribe in one click.
Design, prototype, and deploy enterprise-grade Generative AI solutions, including AI-powered chatbots and RAG pipelines. Collaborate with cross-functional teams to implement AI agents for digital and voice channels to optimize client experiences and internal operations.
Own the GTM intelligence layer by maintaining dashboards, data models, and the semantic layer to drive revenue decisions. Develop and implement AI workflows using Claude and Omni to enhance GTM efficiency and data literacy.
Lead a data science team to deliver production ML models for pricing, demand forecasting, and AI agents. Manage the full ML lifecycle from experimentation to production while coaching team members and aligning technical goals with business outcomes.
Design and operate scalable data pipelines and dimensional models on a Databricks Delta Lakehouse to power analytics and AI/ML. Act as a technical lead by coordinating delivery with offshore engineering partners and ensuring data quality and governance.
Own and grow the unified Data Layer, managing the end-to-end pipeline from raw ingestion to curated serving layers. Leverage AI coding agents to build, validate, and ship production-quality data systems that power the company's AI brain.
Design and own low-level systems including Fusion, Ignite, and Sched to power scientific workloads in the cloud. Drive performance engineering and set technical standards for observability and operational excellence while mentoring teammates.
Design and implement cloud-based MLOps solutions and CI/CD pipelines using tools like GitLab CI and Airflow. Responsible for the refactoring, containerization, deployment, and monitoring of data science models.
Lead and grow a small senior data engineering team while acting as a player-coach to evolve the data architecture. Own the end-to-end data lifecycle including ingestion, transformation via dbt, and the delivery of self-service BI tools.
Handle multichannel customer inquiries regarding automotive products, services, and electromobility while resolving complaints. Assist in training new employees and maintaining internal databases with technical issue reports.
Handle multichannel customer inquiries regarding automotive products, services, and electromobility while resolving complaints. Responsibilities also include reporting product malfunctions, updating internal databases, and assisting in training new employees.
The agent will handle multichannel customer inquiries regarding automotive products, services, and electromobility while resolving complaints. Responsibilities also include reporting product malfunctions and updating internal technical databases.
Handle multichannel customer inquiries regarding automotive products, services, and electromobility while resolving complaints. Responsibilities also include reporting product malfunctions and assisting in the training of new employees.
We watch for new remote data engineering jobs and email you the matches. Free. Unsubscribe in one click.
Handle multichannel customer inquiries regarding automotive products, services, and electromobility. Resolve complaints, report product malfunctions, and maintain internal technical databases.
Handle multichannel customer inquiries regarding automotive products, services, and electromobility while resolving complaints. Responsibilities also include reporting product malfunctions and assisting in the training of new employees.
Build and scale data platforms for AI-driven analytics using high-volume sensor, satellite, and third-party data. Own end-to-end data pipelines from real-time ingestion to analytics while ensuring data quality and performance.
Design and scale intelligent conversational data interfaces using Databricks Genie to enable natural-language querying of enterprise data. Build and optimize data pipelines in Delta Lake and curate semantic metadata to ensure accurate SQL generation.
Lead the design and deployment of end-to-end AI lifecycles and scalable computer vision pipelines for healthcare clients using the Databricks Lakehouse. Act as a strategic advisor on clinical validation, regulatory compliance, and MLOps architecture.
Define and maintain the target-state architecture for enterprise data and analytics platforms to turn fragmented technology into an orchestrated operating system. Lead discovery sessions, design scalable cloud solutions, and mentor engineering teams throughout the implementation lifecycle.
Lead cross-disciplinary teams to design and implement state-of-the-art data processes and AI-driven analytics offerings for healthcare clients. Translate business requirements into technical roadmaps and manage the delivery of proprietary technical assets to enhance consulting capabilities.
Lead the global Customer Success analytics roadmap to transform complex data into actionable business insights and executive narratives. Architect health and adoption frameworks to mitigate churn and drive expansion while mentoring a high-performing analytics team.
We watch for new remote data engineering jobs and email you the matches. Free. Unsubscribe in one click.
Design and deploy machine learning models for NLP and time-series forecasting, specifically building LLM-driven systems for financial data. Develop high-performance backend microservices in Go and Python to ensure scalable, low-latency AI inference pipelines.
Design, build, and maintain scalable production-grade data pipelines and platforms to power AI/ML models and agentic workflows. Collaborate with product and engineering teams to translate ambiguous requirements into robust data solutions and optimize workload performance.
Define and deliver the roadmap for AI capabilities and infrastructure to support internal product teams and external AI products. Lead the full lifecycle of ML and LLM platform workstreams from data ingestion and training to production-grade deployment.
Develop and maintain scalable data solutions and AI initiatives using BigQuery and GCP. Collaborate with cross-functional teams to optimize data architecture, ensure data integrity, and implement efficient ETL processes.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Everything you need to know about remote work
