2,084 Data Engineering jobs available for remote work from home. Apply for positions such as Mid-level Data Engineer, Senior/Principal Data Engineer, Gen AI Engnineer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
Trusted by 300,000+ remote workers worldwide.
You will build, test, and maintain dbt models within a medallion architecture and implement AI-powered tagging models using Snowflake Cortex. Additionally, you will monitor dbt Cloud jobs, investigate data inconsistencies, and maintain documentation for source systems.
Design, build, and maintain scalable, secure, and reliable data platforms and pipelines while driving architectural decisions. Lead platform modernization initiatives and mentor engineering team members through technical guidance and best practices.
Design and implement effective prompt strategies to automate and optimize data annotation and human evaluation workflows using LLMs. Collaborate with cross-functional teams to translate business requirements into scalable AI-driven solutions while ensuring high standards of quality and reliability.
Design, develop, and maintain sophisticated Power BI dashboards while leveraging AI tools to enhance analytical insights and developer productivity. Collaborate with cross-functional teams to transform complex data into actionable, scalable self-service analytics solutions.
You will design and implement comprehensive monitoring and evaluation systems to track program impact and data quality across multiple countries. Additionally, you will lead the M&E team and collaborate with cross-functional departments to ensure data-driven decision-making and program optimization.
We watch for new remote data engineering jobs and email you the matches. Free. Unsubscribe in one click.
You will lead the platform and AI engineering teams to build scalable infrastructure and developer tooling that supports the entire engineering organization. You will also partner with cross-functional leadership to align technical strategy with business outcomes and drive the AI platform roadmap.
The Principal Data Platform Engineer is responsible for the architecture, reliability, and evolution of the enterprise data platform and master data management systems. This role provides technical leadership to the data engineering team while partnering with stakeholders to define data strategy and AI enablement.
The Data Architect will lead technical discovery and design scalable, end-to-end data architectures for global brands using platforms like Snowflake and Databricks. They will also guide engineering teams in implementing data pipelines while translating complex technical requirements into actionable business recommendations.
Analyze large-scale security telemetry, threat intelligence, and detection data to identify trends and anomalies. Collaborate with cross-functional teams to build dashboards and data pipelines that support strategic security initiatives.
The Insight Analyst will design and deliver trusted reports and dashboards by translating business needs into actionable data insights. They will collaborate with stakeholders to define measures and work with data engineers to build governed datasets within the Microsoft Fabric architecture.
Design, build, and maintain robust ETL/ELT pipelines to ingest and standardize healthcare data from diverse sources. Collaborate cross-functionally to develop secure, scalable data infrastructure that supports clinical analytics and decision-making.
You will take end-to-end ownership of the data platform, including ingestion, warehousing, and the dbt transformation layer. Additionally, you will define and maintain business-critical metrics to ensure data trustworthiness for leadership decision-making.
Analyze large and complex data sets using statistical and machine learning techniques to solve unstructured business problems. Develop, implement, and productionize models while collaborating with stakeholders to translate analytical findings into actionable business solutions.
The Insight Analyst is responsible for designing and delivering trusted reports and dashboards while collaborating with stakeholders to define business measures. They will also specify data requirements for engineering teams and perform in-depth analysis to provide actionable business insights.
You will own the end-to-end data journey from ingestion to business impact, designing scalable models that support both human and AI-driven analytics. Additionally, you will collaborate with cross-functional teams to turn business requirements into maintainable data products while ensuring high data quality and governance.
You will design, develop, and maintain scalable data models using dbt to provide reliable product usage data for business stakeholders. Additionally, you will lead the research and prototyping of emerging technologies like GenAI to enhance data engineering and analysis workflows.
The Staff Software Development Engineer will lead the technical architecture and delivery of secure, scalable platform services within a consumer lending domain. This role involves integrating AI capabilities, mentoring engineering teams, and ensuring compliance with financial-services regulations.
We watch for new remote data engineering jobs and email you the matches. Free. Unsubscribe in one click.
The Senior Director leads the enterprise data organization, overseeing data engineering, analytics, MLOps, and AI strategy to drive business value. They are responsible for establishing data governance, building scalable platforms, and partnering with executive leadership to translate business priorities into data-driven outcomes.
Lead analytical workstreams focused on risk and forecasting while interpreting data to support strategic business decisions. Coordinate with stakeholders to gather requirements and document findings to present actionable insights.
The AI Engineer develops and deploys advanced machine learning and generative AI models to solve complex business challenges and improve member health outcomes. They collaborate with cross-functional teams to build scalable data pipelines, optimize model performance, and ensure alignment with enterprise AI strategies.
Lead a team of data engineers in developing and implementing scalable Big Data solutions and reliable ETL pipelines. Ensure data quality, integrity, and security while collaborating with stakeholders to address business requirements.
This role involves developing and supporting BI solutions, including Power BI semantic models, reports, and AI-enabled analytics. The engineer will also administer Azure and Microsoft Fabric cloud environments while collaborating with data engineering teams to ensure project delivery.
The Data Architect will lead the design, development, and optimization of scalable enterprise-grade data platforms and pipelines. They are responsible for integrating data from ERP and CRM systems while ensuring data quality, governance, and performance across the organization.
Design and develop scalable data processing systems while maintaining data pipelines for large volumes of information. Collaborate with data scientists and analysts to optimize infrastructure performance and mentor junior engineers on technical best practices.
Design and build scalable, reusable data curation infrastructure and LLM-driven transformation pipelines to replace ad-hoc workflows. Partner with researchers to implement quality-control methods and measure the impact of data curation choices on model performance.
Lead the design and implementation of foundational features for the DocumentDB engine, focusing on PostgreSQL internals and indexing strategies. Collaborate with open-source communities and analyze distributed systems to optimize performance for large-scale workloads.
We watch for new remote data engineering jobs and email you the matches. Free. Unsubscribe in one click.
The Senior Data Analyst will partner with product and business teams to define KPIs, measure program performance, and develop analytical frameworks. They will write advanced SQL to analyze complex datasets and translate findings into actionable business recommendations.
The role involves designing, developing, and implementing enterprise software solutions while collaborating with cross-functional teams. It also requires monitoring critical production processes, troubleshooting issues, and implementing process improvements for scalability and data quality.
Develop and maintain scalable backend services using Java Spring Boot and modern frontend applications using React. Architect data storage solutions, manage ETL pipelines, and leverage AWS cloud services to support high-performance digital marketplace applications.
The Business Intelligence Engineer will lead data initiatives, maintain data flow across systems, and build scalable data models to drive business growth. They will partner with cross-functional teams to ensure data quality and generate actionable insights through dashboards and predictive modeling.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Everything you need to know about remote work
