1,208 Data Engineer jobs in United States available for remote work from home. Apply for positions such as Software Engineer, Data Quality, Data Engineer - Cloudera & AWS Lakehouse, OT Applications and Data Engineer – Digital Manufacturing Transformation 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 automated validation, reconciliation, and anomaly detection systems to ensure the accuracy of cloud billing data. Additionally, you will investigate data-quality issues to identify root causes and implement automated preventative measures.
The Data Engineer will design, develop, and maintain complex database applications and large-scale data pipelines using Cloudera and AWS technologies. They will also provide technical consulting, mentor junior designers, and oversee relationships between architects and developers.
You will be responsible for the hands-on implementation, configuration, and integration of OT systems and data solutions for process manufacturing customers. This includes ensuring seamless real-time data flow between operational technology layers and enterprise systems while providing ongoing technical support.
The role involves managing, designing, and optimizing data-related activities for identity management systems, including data modeling and ETL processes. Responsibilities also include supporting network management, performance tuning, and ensuring secure data sharing across federal applications.
The Senior Data Engineer will design, build, and maintain scalable ELT pipelines using Snowflake, dbt, and Apache Airflow. They will also mentor team members, optimize platform performance, and support downstream reporting through modern BI tools.
We watch for new "Data Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
The engineer will design, configure, and monitor production-grade ETL/ELT pipelines to ingest data into a MySQL warehouse. They are also responsible for maintaining data quality, defining integration standards, and managing API interactions across various platforms.
The role involves the end-to-end administration, reliability, performance, and security of PostgreSQL, Oracle, and MySQL databases across on-premises and multi-cloud environments. You will collaborate with engineering and infrastructure teams to drive cloud modernization, automation, and continuous improvement initiatives.
Design, build, deploy, and maintain scalable data architectures and databases within the AWS GovCloud environment. Develop and manage data pipelines, ETL routines, and database synchronization to ensure high performance and data quality.
The Senior Data Engineer will design, develop, and maintain data pipelines while managing master data across multiple domains. They will also collaborate with stakeholders to implement data models and provide actionable insights through advanced analytics.
You will architect, build, and maintain low-latency market data infrastructure, including feed handlers and distribution systems. Additionally, you will lead a high-impact team while ensuring system reliability through observability and incident response.
The Snowflake Data Engineer will architect, optimize, and secure cloud data environments while building and maintaining scalable data pipelines. They are responsible for automating dataset ingestion, performing data validation, and implementing best practices for Snowflake compute and storage.
You will design and implement end-to-end AI features, ranging from data pipelines to Generative AI and agentic workflows. Additionally, you will own technical workstreams, mentor junior engineers, and enforce data security and governance standards.
Design and implement modern lakehouse architectures using Delta Lake and Iceberg UniForm on GCP. Develop ingestion pipelines, data-sharing adapters, and governed access layers to support cross-functional data products.
You will lead the migration of analytics into BigQuery and build foundational ETL/ELT pipelines to consolidate fragmented data sources. You will also partner with cross-functional teams to ensure data reliability, observability, and accessibility across the organization.
You will lead complex initiatives from system design to deployment while building scalable data infrastructure and tooling. Additionally, you will provide technical guidance to engineering and research staff to foster growth and improve productivity.
The Principal Engineer will lead the architecture, strategy, and governance of a unified, multi-cloud data ingestion platform and federated data lake. They will drive enterprise-wide technical standards, infrastructure automation, and cost-optimization initiatives to support observability, security, and AI/ML workloads.
Design, build, and scale an enterprise-grade data and AI platform to support analytics, machine learning, and Generative AI initiatives. Collaborate with cross-functional teams to develop AI-ready data products, streaming pipelines, and intelligent retrieval capabilities.
We watch for new "Data Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
The Data Engineer will design, develop, and maintain scalable data warehouse solutions and migrate data from various ERP platforms into NetSuite. They are responsible for building reliable data pipelines, optimizing cloud infrastructure, and ensuring data quality and security.
The Senior Data Engineer will design and implement end-to-end AI features, including data pipelines, GenAI workflows, and production deployments. They will also optimize scalable data systems, enforce security governance, and mentor junior team members.
You will own the end-to-end technical and operational lifecycle of client migrations, from legacy system analysis to production deployment. This involves orchestrating cross-functional collaboration and building scalable, automated migration pipelines.
You will architect and lead the MLOps and forecasting platform, bridging the gap between advanced data science and production-grade engineering. You will also oversee the design of automated pipelines and mentor senior and staff engineers to ensure operational excellence.
The Senior Security Engineer will design, implement, and tune enterprise-wide Data Loss Prevention (DLP) policies across cloud, email, and endpoint platforms. They will also collaborate with cross-functional teams to monitor security alerts, conduct root cause analysis, and ensure data protection controls align with regulatory and business requirements.
Lead complex mechanical piping engineering projects from initial design to final execution while ensuring alignment with project goals and budgets. Coordinate designs with multidisciplinary teams and serve as a primary liaison to communicate progress and technical solutions to clients.
Lead technical discovery, solution design, and data delivery for enterprise sales cycles while serving as the primary technical expert. You will own the technical narrative for AI, manage RFP and security reviews, and institutionalize best practices across the commercial team.
Design, build, and optimize scalable ELT data pipelines and data models within the Google Cloud Platform environment. Collaborate with cross-functional teams to ensure data quality, governance, and reliability for enterprise analytics and AI initiatives.
You will own the end-to-end design and delivery of core data platform components, including schema mapping, normalization, and distribution pipelines. Additionally, you will drive the technical architecture for an AI-native data warehouse and establish engineering standards for the team.
We watch for new "Data Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
Lead the design and operation of distributed data services like Kafka and Redis across massive-scale Kubernetes clusters and multi-cloud environments. Drive infrastructure automation and optimization to ensure high-throughput, low-latency data ingestion while maintaining cloud portability.
You will design and implement data pipelines, integrations, and transformation layers within a matrix-style organization. You will also collaborate with product engineering teams to deliver performant data solutions and establish shared tooling for observability and lineage.
Design, develop, and maintain scalable, production-ready data pipelines and products using Spark and Databricks. Provide technical leadership, establish engineering standards, and collaborate with stakeholders to integrate complex federal health data.
You will lead the evolution of backend architecture by refactoring data pipelines and developing next-generation distributed storage systems. Additionally, you will mentor engineering staff and establish high standards for code quality and engineering 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
