The Staff Engineer will be responsible for architecting and leading the development of high-throughput, low-latency streaming systems that power core products, while also driving the technical roadmap for streaming capabilities.
Remote Data Engineer Jobs (2,551)
Search = Data Engineer
The role involves designing, developing, and maintaining robust and scalable data pipelines for high-profile clients. Responsibilities include integrating heterogeneous data sources, ensuring data quality, and optimizing ingestion, transformation, and storage processes.
The Senior Data Engineer will own data pipeline work end-to-end, including building, maintaining production pipelines, integrating new data sources, and contributing to backend services. Responsibilities involve developing new pipeline components, cleaning up legacy services, maintaining infrastructure, and making Data Science models production-ready.
The role involves designing, developing, and optimizing data pipelines within Snowflake for the DoD's Analytics Platform, focusing on seamless data ingestion, transformation, and processing. Key tasks include building ETL/ELT workflows using Snowflake features, optimizing database structures, and integrating data from diverse sources.
Lead Data Engineer
The State Bar of California
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Full Time
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12 Weeks Ago
The State Bar of California
The Lead Data Engineer will define and drive the modernization of the data infrastructure using Microsoft cloud technologies, leading the development of scalable, automated data pipelines and establishing governance standards. This role involves guiding cross-functional teams to deliver data-driven solutions supporting Analytics, AI, compliance, and operational efficiency.
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The role involves designing and scaling modern data platforms to support reliable analytics and business insights, guiding the development of robust data pipelines and cloud infrastructure. Responsibilities include data ingestion, storage, transformation (ETL), quality assurance, and pipeline maintenance.
The role involves leading the design and implementation of end-to-end, scalable, and secure data architectures primarily on Google Cloud Platform. This includes building robust ETL/ELT pipelines, optimizing BigQuery warehousing, and ensuring high standards for data quality and governance.
The primary focus involves designing, deploying, and optimizing Azure Databricks environments, including building scalable ETL/ELT pipelines using Spark and Delta Lake. Additionally, the role supports a broad range of Azure services like Web Apps, Data Factory, and Storage Accounts to ensure the cloud ecosystem is secure and cost-efficient.
The role involves participating in all stages of analytical application development, designing, developing, and optimizing high-volume data analysis systems, and writing clean, efficient, and testable code. Responsibilities also include ensuring designs meet technical standards and exploring new technologies for continuous improvement.
The role involves performing structural design and analysis for multiple data center buildings, including developing design documentation for various structural components like concrete panels, steel framing, and foundations. Key duties also include coordinating deliverables with other engineering disciplines and preparing construction documents while ensuring quality and code compliance.
The role involves performing structural design and analysis for multiple data center buildings, including developing design documentation for various structural elements like concrete panels, steel framing, and foundations. Responsibilities also include coordinating deliverables with other engineering disciplines, preparing construction documents, and providing technical guidance to junior staff.
The role involves leading and performing structural design and analysis for multiple data center buildings, including developing design documentation for various structural components like concrete panels, steel framing, and foundations. Responsibilities also include coordinating deliverables with other disciplines, overseeing construction document preparation, and providing mentorship to junior engineers.
The role involves leading and performing structural design and analysis for multiple data center buildings, including developing design documentation for various structural elements like concrete panels, steel framing, and foundations. Responsibilities also include coordinating deliverables with other teams, overseeing construction documents, and providing mentorship to junior engineers.
Responsibilities include collaborating on custom data solutions, innovating infrastructure, and designing/implementing scalable ETL processes and data pipelines. The role requires owning projects end-to-end, developing team tools, and focusing on code quality through review, documentation, and CI/CD integration.
Senior Data Engineer - Spark, Data Bricks & AWS
McGraw Hill LLC.
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Full Time
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12 Weeks Ago
McGraw Hill LLC.
The Senior Data Engineer will design, build, and optimize scalable data solutions using AWS, Databricks, and Spark to power insights across various business domains. This involves developing robust ETL/ELT processes, designing data models, and ensuring the performance and reliability of cloud-based data platforms.
The Data Engineer will be responsible for designing, building, and optimizing scalable data solutions, including developing and maintaining data pipelines using AWS technologies and big data processing workflows with Databricks and Spark. This role involves translating complex business requirements into reliable, high-performance data architectures that power insights across various business domains.
Data Engineer – IICS/ Informatica, Databricks
McGraw Hill LLC.
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Full Time
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12 Weeks Ago
McGraw Hill LLC.
The Data Engineer will design, build, and optimize modern data solutions, working with stakeholders to translate business requirements into scalable technical solutions for data-driven decision-making. Key tasks include developing ETL pipelines using Informatica/IICS and Databricks, working with financial/operational data, and ensuring platform stability by meeting SLAs.
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The role involves building and optimizing data pipelines within Azure Databricks and supporting the migration of existing Azure Synapse notebook pipelines. You will also design scalable data models and storage patterns within Delta Lake and collaborate with global data engineering teams.
The Senior Data Engineer will focus on supporting the client's data platform modernization by handling pipeline migration, operational stabilization, and implementing a dbt-based transformation framework within Snowflake. Key tasks include developing and maintaining ELT pipelines using Python and Airflow, converting SQL to dbt models, and documenting procedures.
Lead and perform structural design and analysis for multiple data center buildings, including hyperscale and colocation facilities. Coordinate design deliverables with various teams to ensure alignment with project objectives and client standards.
Perform structural design and analysis for multiple data center buildings, including hyperscale and colocation facilities. Coordinate design deliverables with various teams to ensure alignment with project objectives and client standards.
The Data Architect will define the long-term data strategy, architecting and implementing a roadmap to transition the data environment into a structured, high-performance ecosystem. Key tasks include designing and optimizing complex data models, leading performance tuning, and establishing organizational standardization for data governance.
Staff Data Engineer, Data Platform - IntelliScript (Remote)
Milliman
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Full Time
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12 Weeks Ago
Milliman
The Staff Data Engineer will act as a trusted advisor and subject matter expert, leading technical and architecture decisions for the Data Platform, focusing on scale, performance, and compliance across hybrid environments. Key duties include expanding Data Warehouse/Lakehouse solutions, implementing data governance/security protocols, building client-facing data solutions, and developing robust ETL/streaming pipelines.
Senior Software Engineer - Data Migrations (Remote Contractor, Brazil)
Kuali
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Full Time
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12 Weeks Ago
Kuali
The role involves designing and building internal tooling using Node.js and Postgres to power large-scale data migrations between product versions, focusing on creating safe, observable, and repeatable frameworks for moving customer data. Responsibilities include handling both relational and schema-less data transformations, implementing robust observability, and ensuring migrations are idempotent and safely replayable.
The Senior Data Engineer will be responsible for building and maintaining efficient and reliable data pipelines and platforms, ensuring data quality, and supporting analytics and reporting needs. This role involves close collaboration with various engineering and analytics teams to deliver scalable, high-quality data solutions.
Senior Data Engineer
Codest Ltd. Company No. 12590542, VAT number: GB363431020
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Full Time
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12 Weeks Ago
Codest Ltd. Company No. 12590542, VAT number: GB363431020
The role involves designing and implementing data processing pipelines, including transformation, validation, and mapping, while building components to connect various data sources and destinations like APIs, SQL, S3, and SFTP servers. Responsibilities also include updating existing ETL flows, conducting comprehensive testing, and providing post-deployment support.
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Sr. Software Engineer, Data & AI Platform
BetterWorks Systems, Inc.
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Full Time
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12 Weeks Ago
BetterWorks Systems, Inc.
The role involves designing, developing, and enhancing core features of the data and AI platform, focusing on robust, scalable, and resilient cloud distributed services. Responsibilities also include championing best practices in platform engineering, troubleshooting performance bottlenecks, and contributing to the evolution of platform architecture.
The role involves designing, implementing, and maintaining scalable data infrastructure and pipelines, including extracting data from diverse sources and building data repositories. Responsibilities also include writing complex SQL queries, creating reconciliation and error handling processes, and collaborating with Analytics Engineers to meet data requirements.
The role involves developing a world-class analytics and business intelligence experience by building and operating modern data architectures, including complex data processing pipelines and delivery mechanisms. Responsibilities also include leading the design of new data solutions, monitoring pipeline health, and developing self-service analytics capabilities.
Lead Backend Engineer - Data Interoperability
b.well Connected Health
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Full Time
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12 Weeks Ago
b.well Connected Health
This role involves leading the design, development, and implementation of large-scale, real-time health data interoperability solutions, including architecting APIs compliant with CMS regulations and leading connections to national healthcare networks. The Lead Engineer will also design scalable data pipelines for ingesting and exchanging health data from diverse sources and lead a team of data engineers.
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