The consultant will be responsible for designing and implementing end-to-end data architectures and building scalable data pipelines using modern tools to support organizational analytics and reporting needs. Key tasks include developing Snowflake data warehouses and managing data integrations via Fivetran and Boomi while enabling analytics through Power BI.
Remote Data Engineer Jobs (2,552)
Search = Data Engineer
The Senior Data Engineer will be responsible for building and maintaining reliable data models within Snowflake using dbt, focusing on improving data quality and observability. This role involves collaborating with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that support analytics and products.
This role focuses on building and scaling the analytics foundation by developing high-quality, analytics-ready datasets and a consistent metrics/semantic layer using dbt and Snowflake. Responsibilities include designing durable data models, defining trusted business metrics, ensuring data quality through testing, and partnering with stakeholders to create reusable data products.
This role involves leading the design and evolution of scalable data architectures, owning end-to-end data pipelines for various workloads including AI/GenAI use cases, and defining data engineering standards. The individual will also mentor engineers, translate business problems into technical solutions, and drive the use of agent-based solutions in development.
The Data Engineer will join the Self Service Analytics team to collaborate with analysts, translating business requirements into robust, scalable data models and services that support data-driven decisions across the company. This role involves modeling data as a product, shaping its structure in the data lake, and building/maintaining the data analytics platform including ingestion and validation.
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The Principal Data Engineer will act as the leading data domain expert, owning platform data architecture and leading the technical design and implementation of reliable, scalable data infrastructure and data-driven products. Responsibilities include translating business requirements into a technical roadmap, defining data engineering best practices, and creating optimal data pipeline architectures with high observability.
The Staff Data Engineer will serve as a senior technical leader responsible for shaping, scaling, and governing the modern data ecosystem, focusing on architecture, hands-on engineering, and platform leadership to deliver high-quality data products. Key duties involve designing and implementing scalable batch and streaming data pipelines for various healthcare sources while ensuring HIPAA compliance and mentoring other engineers.
The Senior Electrical Engineer will be responsible for designing, implementing, and maintaining electrical systems in large-scale, hyper-scale data centers, ensuring reliability, efficiency, and safety. This includes developing schematics, ensuring code compliance, analyzing systems for optimization, and leading technical aspects of projects.
Architect GCP Data Engineer (Remote)
Think Future Technologies Pvt Ltd
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14 Weeks Ago
Think Future Technologies Pvt Ltd
The role involves designing, building, and owning scalable data platforms on Google Cloud, taking an architectural role to drive end-to-end data solutions and define best practices. This includes delivering reliable, high-performance data pipelines and analytics platforms by collaborating with stakeholders, analysts, and data scientists.
Senior Clinical Data Engineer (LATAM)
Precision Medicine Group
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14 Weeks Ago
Precision Medicine Group
This role involves leading the strategic development and optimization of clinical data systems, driving enterprise-level data standardization initiatives, and architecting scalable validation frameworks to ensure regulatory compliance and operational excellence across global trials. The engineer is responsible for building and maintaining modular codebases using key programming languages while mentoring junior staff and overseeing regulatory alignment with GCP and FDA 21 CFR Part 11.
Senior Clinical Data Engineer (LATAM)
Precision for Medicine
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14 Weeks Ago
Precision for Medicine
This role involves leading the strategic development and optimization of clinical data systems, driving enterprise-level data standardization initiatives, and architecting scalable validation frameworks to ensure regulatory compliance and operational excellence across global trials. The engineer is responsible for building and maintaining modular codebases using Python, R, SQL, and SAS, while also overseeing regulatory alignment with GCP and FDA 21 CFR Part 11.
The Growth Engineer will be responsible for owning the technical DNA of the analytics stack, ensuring data fidelity, unbreakable tracking, and a flawless product map by transforming digital exhaust into actionable intelligence. Key duties include designing data flows using Segment, managing infrastructure with Terraform, acting as a translator between business and engineering, and proactively monitoring the data pipeline for accuracy.
The Growth Engineer will be responsible for owning the technical DNA of the analytics stack, ensuring data fidelity, unbreakable tracking, and a flawless product map by transforming digital exhaust into actionable intelligence. Key duties include designing and maintaining data flow using Segment, managing infrastructure with Terraform, and acting as a translator between business goals and technical execution.
The role involves designing and building performant, reliable data pipelines for large volumes of payment data, owning end-to-end data flows from ingestion to final outputs used by Finance, Product, and clients. Additionally, the engineer will drive data quality, work cross-functionally, and contribute to shaping team practices like code review culture and CI/CD standards.
The role involves designing, building, and owning scalable ELT/ETL pipelines for core use cases like client billing and product analytics, while modernizing legacy data flows by migrating transformations into dbt.
The Senior Data Engineer will be responsible for implementing robust data infrastructure within AWS, utilizing Spark with Scala, and evolving core data pipelines to efficiently handle massive growth. This role involves designing fault-tolerant batch and streaming pipelines while collaborating cross-functionally to meet business data solution needs.
The role involves building and maintaining large-scale data pipelines using frameworks like Scio on Google Cloud Platform, while driving optimization, testing, and tooling to enhance data quality and reliability. Responsibilities also include collaborating with cross-functional teams in agile environments to continuously deliver on new product objectives.
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The Senior Data Engineer will lead the design and maintenance of scalable data pipelines for reporting and analytics, enhancing them to generate derived business metrics for real-time monitoring and insights. This role involves designing complex data workflows to support feature extraction, AI/ML model creation, and seamless integration of data from diverse internal and external systems.
The role involves taking end-to-end ownership of the data warehousing infrastructure, including its KPIs and SLAs, and designing, building, and optimizing large-scale, high-performance data pipelines for analytics and operational workflows. Responsibilities also include architecting the data ecosystem, leading ETL/ELT development on current tooling, and partnering with cross-functional teams to deliver robust datasets.
The Staff Data Engineer will function as a technical leader, setting the direction for the evolving data estate by collaborating on data flow strategies, defining storage needs for microservices, and managing cross-application datastore projects. Responsibilities also include researching emerging data capabilities and guiding the selection of appropriate datastore technologies for new and re-platformed applications.
The role involves architecting and building highly scalable data management systems and ETL/ELT pipelines, integrating high-volume data from operational technology sources like SCADA and historians into the Microsoft Azure cloud platform. Key duties include developing data models optimized for time-series data and building the infrastructure to support AI/ML models for operational optimization.
Senior Sales Engineer - Data & AI Security 14 APPLICANTS
Veeam Software
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Full Time
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15 Weeks Ago
Veeam Software
The Senior Sales Engineer will act as the primary technical contact for Securiti AI solutions during the sales cycle, leading technical discussions and designing customized security solutions for customers. This role involves guiding clients from needs assessment to solution design, including delivering hands-on demonstrations and proof-of-concepts.
Senior Data Engineer - Bees Personalization
AB InBev | Growth Group
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Full Time
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15 Weeks Ago
AB InBev | Growth Group
The role involves leading the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools used across BEES. This includes designing efficient data models and implementing architectural improvements to enhance performance, monitoring, and evolution of data products.
Senior Control M Developer & Data Engineer - Remote
Simple Solutions
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Full Time
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15 Weeks Ago
Simple Solutions
The role involves migrating and optimizing legacy orchestration workflows from Tidal to Control-M, alongside the day-to-day administration of Control-M/EM Server and production batch schedules. Responsibilities also include creating and managing job flows, dependencies, and alerts across Distributed and Mainframe environments.
The Data Engineer will play a key role in building data products centered around customer feedback, such as product reviews, by developing, operating, and monitoring ETL/ELT processes. This role also involves automating and optimizing data flows while evolving and maintaining data and analytics platforms with a focus on scalability and reliability.
The Staff Data Engineer will serve as a lead engineer responsible for building and supporting Data Warehousing and reporting functions, including developing, debugging, and supporting ETL processes utilizing AWS services. This role involves leading the ideation and development of data models, maintaining critical reports, and collaborating with various internal and external stakeholders to deliver modern data products.
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![Smart Working Solutions is hiring for remote Marketing & CRM Data Engineer (Remote, Full Time) [EM011]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
Marketing & CRM Data Engineer (Remote, Full Time) [EM011]
Smart Working Solutions
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Full Time
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15 Weeks Ago
Smart Working Solutions
The role involves owning CRM data hygiene and maintaining high-quality contact and account data. You will also build and maintain scalable enrichment workflows and prepare outbound lists to ensure they are campaign-ready.
The role involves designing, building, and maintaining production-grade data pipelines using tools like Airflow and AWS services to power analytics, machine learning, and operational systems. Responsibilities also include owning data ingestion, managing data storage across various platforms, and partnering with cross-functional teams on data model design.
The Staff Data Engineer will be responsible for designing and operating scalable data ingestion and web scraping systems, building batch and real-time pipelines to process diverse data sources. This role also involves owning the data storage architecture and operationalizing AI/ML workflows by preparing clean, versioned datasets for models and APIs.
Cloud Data Engineer (AWS / Terraform / Python)-Bulgaria
Kolomolo
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Full Time
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15 Weeks Ago
Kolomolo
The role focuses on designing and deploying data infrastructure within AWS environments, concentrating on building Terraform-based deployments and automating data processing pipelines for ingestion, transformation, and validation.
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