Ensure the quality and reliability of data infrastructure, including ETL pipelines and Power BI dashboards. Design and execute test cases for data flows and integrate automated tests into CI/CD pipelines.
Remote Data Engineer Jobs (2,747)
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Contract: Sr. Analytics Engineer - Internal Data 92 APPLICANTS
Newsela
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Full Time
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9 Weeks Ago
Newsela
The role involves applying data engineering best practices to transform, test, and document data while building composable data models. You will collaborate with stakeholders to turn raw data into business insights and create data visualizations.
Drive the technical vision and architectural decisions for a Snowflake lakehouse ingesting diverse regulatory and market data sources. Lead the development of reusable Terraform modules and establish CI/CD and acceptance-test standards across the engineering team.
Embedded within delivery teams to provide real-time engineering rigor, reviewing technical decisions and code to ensure enterprise scalability. Bridges the gap between business-built AI capabilities and production-ready software through integration design and data governance.
Design and implement AI and GenAI driven algorithmic components for contextual personalization and behavioral insights. Develop ML models and agentic workflows while scaling components to handle terabytes of data in production.
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Design and implement AI and GenAI driven algorithmic components for contextual personalization and behavioral insights. Develop ML models and agentic workflows while scaling components to handle terabytes of data in production.
Lead data validation and reconciliation for large-scale healthcare data migrations across multiple sources. Develop SQL and Python-based quality checks to ensure accuracy and operationalize monitoring processes for steady-state operations.
Design and maintain a streaming-first data platform using Apache Kafka, Protobuf, and Apache Iceberg to enable near real-time data availability. Build and operate a hybrid Databricks and Snowflake architecture to support data engineering, AI/ML workloads, and business reporting.
Lead the modernization and improvement of enterprise data infrastructure across cloud and on-premise environments. Define technical roadmaps and establish standards for reliability, security, and operational maturity.
Design and implement complex platform solutions, including high-scale pipeline architectures and data modeling. Act as a technical reference for production troubleshooting, cost optimization, and leading the resolution of technical debt.
Own the end-to-end customer data domain, including architecture for collection, identity resolution, and consent logic. Collaborate with cross-functional teams to translate business use cases into scalable technical architectures and govern data flows to MarTech tools.
The Data Test Engineer ensures the quality and reliability of data infrastructure, including ETL pipelines and BI dashboards. They are responsible for designing test cases, validating data integrity, and integrating automated tests into CI/CD pipelines.
The Principal Data Science Engineer will work with airlines to leverage data for insights and predictions regarding customer behavior and operational performance. They will develop custom data models, collaborate with software engineers, and monitor data accuracy and model performance.
The engineer will perform short circuit analysis and arc flash studies for large technology companies and mission-critical clients. Responsibilities include conducting design calculations, writing technical reports, and coordinating with professional staff and clients.
Design and build a unified, scalable data platform and manage end-to-end data pipelines and SLAs. Collaborate with cross-functional teams to establish data contracts, observability, and governance strategies.
Implement and optimize shared frameworks and data access patterns for large-scale systems using various NoSQL and SQL databases. Develop reusable SDKs and platform services while ensuring operational stability and sub-second latencies.
Develop Django-based websites and build frontend data visualization components for healthcare pricing data. Responsibilities include managing large data sets, writing scalable code, and collaborating with teams to implement security and feature requests.
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Lead the architecture and migration to a governed Microsoft Fabric platform while ensuring the reliability of BI and semantic models. Establish data engineering standards and mentor team members to translate business needs into technical delivery.
Own the marketing and business intelligence layer by ensuring reporting reliability and building scalable data models. Partner with marketing and commercial teams to translate business needs into actionable insights and key metrics.
Mechanical Engineer – CFD (Data Center HVAC Design)
SSOE, Inc.
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Full Time
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11 Weeks Ago
SSOE, Inc.
Develop detailed engineering designs and perform CFD simulations to optimize airflow and thermal management for mission-critical data centers. Collaborate with multidisciplinary teams to integrate HVAC systems and validate performance through site visits and commissioning.
Design and maintain scalable, event-driven data pipelines for course and job matching, including the creation of semantic embeddings and knowledge graphs. Build and optimize discovery APIs on AWS Lambda and maintain robust web scrapers for institutional data.
Design and scale mission-critical market data systems and public APIs for stocks, options, crypto, and forex. Focus on reducing latency, implementing resilient backend services, and maintaining high software quality through code reviews and testing.
Develop and maintain data pipelines and integration solutions to support DISN network topology and operational data. Integrate diverse data sources into Kafka and Elastic platforms while creating Kibana visualizations for advanced analytics.
Own the end-to-end data plane, managing telemetry ingestion from MQTT to a semantic time-series store and out through a public API. Responsibilities include selecting the MQTT broker, designing the semantic data model, and optimizing cost per device.
Design and implement scalable ETL pipelines and high-performance APIs to process terabytes of data. Collaborate with cross-functional teams to transform raw data into actionable business products and mentor junior engineers.
Architect and implement scalable backend services and data pipelines using Java, Spring Boot, and modern data platforms. Collaborate with cross-functional teams to design data models and perform exploratory data analysis to drive product improvements.
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App Dev & Support Engineer III/ Data Architect /Data Governance Lead
Conduent
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Full Time
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13 Weeks Ago
Conduent
The role involves designing and maintaining enterprise data models for the Medicaid Data Warehouse while leading metadata management and governance processes. You will partner with cross-functional teams to ensure data quality, lineage, and compliance with regulatory reporting requirements.
The Data Quality Engineer will design and implement a data quality framework across Bronze, Silver, and Gold layers while maintaining automated checks within Databricks pipelines. They will also collaborate with Data Engineering teams to validate data flows and ensure production-ready data assets.
Design and implement a comprehensive data quality framework across Bronze, Silver, and Gold layers within Databricks pipelines. Collaborate with data engineering and business teams to validate data accuracy, perform reconciliation, and monitor pipeline health post-deployment.
Design and implement a data quality framework across Bronze, Silver, and Gold layers while maintaining automated checks within Databricks pipelines. Collaborate with Data Engineering and business teams to validate data pipelines, perform reconciliation, and ensure production-ready data assets.
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