1,207 Data Engineer jobs in United States available for remote work from home. Apply for positions such as Staff Backend Engineer, Data Ingestion, Sr. Data Engineer, Data Engineer – Army Vantage / Palantir Foundry - Clearance Required and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will own the backend platform and observability systems for Scribe's data ingestion, ensuring reliable data flow into processing and AI pipelines. You will also provide technical leadership to shape the roadmap and drive improvements across the Recorder Engineering team.
Design, implement, and maintain scalable data pipelines on AWS using services like S3, Glue, and Redshift. Develop robust ETL/ELT workflows to ingest, cleanse, and transform data while ensuring security, governance, and operational reliability.
The Data Engineer will develop, maintain, and enhance data products and pipelines within the Army Vantage and Palantir Foundry environments. They are responsible for integrating authoritative ATIS data, ensuring data quality, and building analytical dashboards to support mission needs.
You will design, build, and operate foundational data services and processing pipelines to support analytics and machine learning across the company. Additionally, you will architect data security and observability frameworks while partnering with cross-functional teams to deliver scalable data solutions.
Develop and maintain data pipelines and ETL tasks to facilitate the extraction of insights while collaborating with cross-functional teams. Establish and standardize data architecture processes that are automated, scalable, and replicable across the organization.
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Design, develop, and maintain scalable ETL/ELT data pipelines and cloud-based data platforms. Collaborate with cross-functional teams to optimize data workflows for performance, security, and cost efficiency.
Design, build, and maintain high-throughput, event-driven data services and orchestration pipelines while evolving core platform components for scalability. Define data engineering standards, mentor team members, and lead cross-functional initiatives to ensure operational excellence and data governance.
The Senior Data Engineer will own the end-to-end data pipeline architecture, connecting paid media platforms and CRMs into a centralized BigQuery warehouse. They are responsible for building modular transformation pipelines, ensuring data quality, and enabling performant reporting for marketing teams.
The role involves performing seismic and structural analysis, developing detailed designs, and leading engineering projects for data centers. Responsibilities also include conducting site inspections, creating client presentations, and collaborating with multidisciplinary teams to ensure project success.
The Mechanical Engineer will lead design efforts and serve as a project manager for large-scale data center projects. Responsibilities include preparing planning documents, performing design calculations, and coordinating with internal teams and external clients.
You will architect and build high-performance distributed infrastructure components, including storage and service layers for global financial data. Additionally, you will lead technical decision-making, optimize system performance, and mentor mid-level engineers to drive project delivery.
You will lead the technical direction for data architecture, scaling, and platform reliability while building production-grade pipelines. Additionally, you will partner with engineering and product teams to enable machine learning at scale and establish robust data governance standards.
You will own end-to-end data platform migration projects, acting as the primary customer contact for scoping, planning, and execution. You will also partner with the engineering team to configure migration agents and refine delivery playbooks.
Own the end-to-end delivery of AI-automated data platform migration projects, including scoping, planning, and execution. Serve as the primary customer contact to manage stakeholder expectations and ensure timely project delivery.
The Lead Data Engineer will design and maintain scalable Azure-based data architectures and pipelines to support healthcare interoperability and analytics. This role involves technical leadership, mentorship, and ensuring data integrity and compliance with HIPAA/HITRUST standards.
The Lead Data Engineer will oversee enterprise-level data life cycle processes, including the development and maintenance of ETL/ELT pipelines and data frameworks. They will provide architectural oversight for the company's Unified Data Layer and collaborate with cross-functional teams to define data governance and ontology standards.
The Senior Staff Data Engineer will define the long-term data engineering strategy and design scalable, distributed systems to transform pharmaceutical data into actionable insights. They will also mentor engineering teams, enforce data governance policies, and drive cross-functional collaboration to improve developer efficiency and business impact.
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The Staff Data Center Controls Engineer leads the design, standardization, and delivery of controls systems across data center projects. This role oversees the integration of BMS, EPMS, and related infrastructure to ensure high-performance, mission-critical operations.
The Staff Network Engineer will lead the development and implementation of network and telecommunications infrastructure standards for AI-focused data center campuses. This role involves collaborating with cross-functional teams to plan, design, and operate scalable, reliable, and cost-effective network infrastructure.
You will lead the strategy for AI-driven analytics and reporting while evolving the data architecture to support these advanced use cases. This role involves mentoring the analytics team and ensuring data models are optimized for both human analysts and AI agents.
The Principal Civil Engineer will lead the planning, design, and standardization of civil infrastructure for large-scale data center campuses. They will provide technical oversight, manage consultant relationships, and ensure engineering excellence across the project portfolio.
You will design, implement, and maintain scalable data infrastructure on AWS while building production-grade Airflow DAGs and DBT pipelines. Additionally, you will mentor junior engineers and collaborate with cross-functional teams to optimize data models for large-scale broadband programs.
You will lead complex technical initiatives and architectural decisions to ensure the scalability and reliability of financial data pipelines. Additionally, you will partner with cross-functional teams to define strategy and mentor engineers to advance the team's technical impact.
Develop, maintain, and optimize scalable data processing pipelines using Cribl LogStream and integrate them with security platforms. Collaborate with cross-functional teams to onboard security telemetry and ensure high-quality data solutions for analytics and incident response.
The consultant will design and implement complex ETL/ELT pipelines and lead data warehousing projects for client engagements. They will collaborate with internal and partner teams to deliver data solutions while ensuring security and compliance.
The Lead Data Engineer will design, build, and maintain scalable data pipelines and warehousing solutions while serving as a technical leader for data scrum teams. They are responsible for diagnosing complex technical problems, mentoring junior engineers, and implementing efficient data integration solutions using modern cloud platforms.
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The Electrical Field Engineer acts as the primary technical bridge between design teams and on-site construction partners to ensure power distribution systems are installed safely and efficiently. Responsibilities include overseeing installation, quality assurance, commissioning activities, and rapid resolution of technical field issues.
The Staff Security Engineer will lead the development and implementation of comprehensive security strategies and advanced security controls to protect business data. They will also partner cross-functionally to shape security services and mentor new engineers to ensure high-quality engineering standards.
Design, build, and maintain data ingestion pipelines and transformation models within a Snowflake warehouse. Collaborate with stakeholders to translate business requirements into governed data structures and reliable reporting metrics.
Design, build, and operate end-to-end batch and incremental ETL/ELT pipelines to transform raw data into production-grade APIs and dashboards. Collaborate with cross-functional teams to translate intelligence requirements into scalable products while maintaining high data quality and system performance.
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