2,112 Data Engineering jobs available for remote work from home. Apply for positions such as Data Engineer, Business Intelligence Analytics Engineer III, Lead Data Engineer- Healthcare Interoperability, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Data Engineer will build, maintain, and optimize data pipelines to ingest information into Snowflake while developing scalable data models using dbt. They will also partner with cross-functional business teams to translate data needs into practical solutions and support analytics and machine learning initiatives.
The Business Intelligence Analytics Engineer III will design and develop scalable reporting solutions, dashboards, and advanced analytics to support strategic financial decision-making. They will also lead analytics initiatives throughout the full solution lifecycle while mentoring team members and promoting data literacy across the organization.
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 Healthcare Integration Engineer will design and maintain scalable Azure-based data architectures and pipelines with a focus on EHR interoperability. This role also provides technical leadership, mentorship to the engineering team, and ensures compliance with HIPAA/HITRUST standards.
The Senior Software Engineer will design, build, and deploy enterprise-scale AI-powered data solutions and automated ETL workflows. They will collaborate with cross-functional teams to optimize cloud database performance and maintain big data infrastructure.
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The intern will build and automate production reporting layers for Talent Acquisition by establishing data pipelines and developing comprehensive Power BI dashboards. They will partner with leadership to translate business questions into measurable metrics and ensure data quality across HR systems.
You will own the core positioning, messaging, and category framing for the product while driving sales enablement and competitive intelligence. Additionally, you will manage analyst relations and ensure consistent messaging across all customer-facing channels.
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.
You will lead and develop a multidisciplinary engineering team responsible for building, deploying, and scaling core applications that support critical supply chain operations. You will also set technical direction, establish engineering practices, and partner with cross-functional leaders to translate product strategy into an effective engineering roadmap.
The Lead Data Engineer will architect and implement scalable data platforms and pipelines while driving the modernization of legacy assets into cloud-based Data Lakehouse environments. They will also mentor engineering teams, define technical standards, and collaborate with cross-functional stakeholders to deliver high-quality, governed data products.
You will take operational ownership of usage and adoption pipelines while building and maintaining production-grade data systems in Databricks. Additionally, you will collaborate with cross-functional teams to define metrics, automate data quality checks, and establish a structured intake process for data requests.
Design, develop, and maintain scalable data pipelines and products to support enterprise credit risk initiatives. Collaborate with cross-functional teams to translate business requirements into technical solutions while ensuring data reliability and platform performance.
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.
Maintain and extend backend systems for an AI-powered research platform while building optimized data ingestion pipelines. Collaborate with cross-functional teams to integrate LLMs and agents into production workflows.
The Data Scientist will lead the design and delivery of analytics products by integrating SQL-backed data with Microsoft Power Platform tools. They will partner with program leadership to translate complex needs into actionable technical requirements and reproducible analytical workflows.
The role involves developing complex reports, dashboards, and data pipelines to support LTSS and Dual Eligible programs while driving operational efficiency. You will collaborate with cross-functional teams to translate business requirements into actionable insights using advanced statistical and BI tools.
You will design, build, and maintain scalable data pipelines and models to power customer-facing products like adaptive learning and predictive analytics. Additionally, you will shape the technical direction of the data platform and mentor other engineers to improve data quality and accessibility.
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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.
Lead, mentor, and grow a team of product, marketing, and data analysts to deliver trusted insights and scalable analytics solutions. Partner with cross-functional teams to translate business needs into actionable data models and reporting while driving technical standards.
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 Data Scientist will support customers in mastering the Dataiku platform through training, demos, and consultative support. They will also scope and co-develop production-level data science projects while providing strategic input to account teams.
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 Billing Platform Functional Analyst manages the configuration, data integrity, and integration of the proprietary billing platform within the IS&IO organization. This role ensures accurate lead-to-customer activation and revenue recognition while driving process automation to reduce manual finance case volume.
The Professional Services Engineer is responsible for the deployment, implementation, and optimization of the Maia Foundation platform for enterprise customers. This role involves architecting production-grade integrations and transforming legacy ETL workflows into modern, autonomous data pipelines.
You will design and evolve data frameworks to ensure the scalability, health, and safety of GitLab's application datastores. This includes building proactive data growth controls, retention policies, and tooling to support both SaaS and self-managed deployments.
Design and build agentic systems and automated evaluation loops while managing large-scale data pipelines. Act as a technical counterpart for architecture reviews and perform hands-on operations to ensure system reliability.
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You will design and build ELT pipelines to move data from terminal operating systems into a centralized Azure-based platform. Additionally, you will develop transformation layers and maintain a standardized data model to ensure data quality and consistency across global terminals.
You will be responsible for building and maintaining scalable data integration mechanisms and processing pipelines using SQL, Python, and Apache Spark. Additionally, you will contribute to architectural decisions, develop CI/CD pipelines, and ensure high data quality and reliability across the centralized platform.
Lead, coach, and mentor a team of data engineers while driving the architecture and delivery of complex data pipelines. You will champion an AI-first development culture and collaborate with cross-functional teams to ensure high-quality data products.
The role involves maintaining the marketing data infrastructure and managing audience lists while serving as an embedded consultant for AI and automation initiatives. You will build integrations, develop workflow tools, and enable the marketing organization to adopt AI practices effectively.
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