Design, build, and support scalable real-time data streaming and CDC pipelines using Kafka and Striim. Collaborate with stakeholders to translate requirements into technical solutions and improve platform observability and reliability.
Remote Data Engineer Jobs (2,431)
Search = Data Engineer
Provide strategic and tactical pre-sales leadership by delivering technical expertise throughout the customer journey, including solution design and proof-of-concept execution. Act as a technical advisor to enterprise customers and collaborate cross-functionally to align product direction with market needs.
Design, build, and maintain scalable data infrastructure and ingestion frameworks on AWS to support organizational reporting. Collaborate with cross-functional teams to translate business requirements into technical data solutions and mentor junior engineers.
Design, develop, and deploy high-scale backend APIs using Golang to deliver content to millions of users. Automate infrastructure and scaling using Kubernetes and Terraform while providing operational support through an on-call rotation.
Design and develop scalable ETL/ELT data pipelines and large-scale workflows using Apache Spark and AWS services. Collaborate with cross-functional teams to ensure data quality, governance, and the delivery of high-quality data for BI and applications.
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Design, develop, and automate Big Data processes and ETL pipelines using Spark and Scala for Market Risk use cases. Collaborate with international technical teams to ensure data quality and improve Big Data workflows.
Build and maintain scalable, fault-tolerant data pipelines and lakehouse layers on GCP using BigQuery and Dataproc. Design bitemporal data models for financial time-series datasets and support AI solutions via Vertex AI.
Build and maintain scalable, fault-tolerant data pipelines and lakehouse layers on GCP using BigQuery and Dataproc. Design bitemporal data models for financial time-series datasets and support AI solutions via Vertex AI.
Build and maintain scalable, fault-tolerant data pipelines and lakehouse layers on GCP using BigQuery and Dataproc. Design bitemporal data models for financial time-series datasets and support AI solutions via Vertex AI.
Build and maintain robust data pipelines while optimizing the data platform for speed, scalability, and cost. Coordinate with functional teams to meet data needs and develop tools to monitor model performance and data accuracy.
Design, build, and productionize secure and scalable end-to-end cloud data solutions for enterprise clients. Collaborate with stakeholders to translate business requirements into technical architectures and provide technical leadership during implementation.
Build predictive models using statistical and machine learning techniques to support pricing initiatives and user identity insights. Partner with the data team to improve data consistency and optimize prescription drug pricing analysis.
Principal Data Engineer - PerfectScale by DoiT, Ukraine(Remote)
DoiT
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Full Time
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20 hours ago
DoiT
As a Principal Data Engineer, you will design and build large-scale backend services and high-throughput data pipelines while shaping the long-term technical direction of PerfectScale’s platform. You will also lead major technical initiatives and ensure the platform meets reliability and scalability SLAs.
Principal Data Engineer - PerfectScale by DoiT, Romania (Remote)
DoiT
·
Full Time
·
20 hours ago
DoiT
As a Principal Data Engineer, you will design and build large-scale backend services and high-throughput data pipelines. You will also shape the long-term technical direction of PerfectScale’s platform while leading major technical initiatives.
Principal Data Engineer - PerfectScale by DoiT, Portugal(Remote)
DoiT
·
Full Time
·
20 hours ago
DoiT
As a Principal Data Engineer, you will design and build large-scale backend services and high-throughput data pipelines. You will also shape the long-term technical direction of PerfectScale’s platform while actively contributing to critical code and infrastructure.
As a Principal Data Engineer, you will design and build large-scale backend services and high-throughput data pipelines. You will also shape the long-term technical direction of PerfectScale’s platform.
The role involves designing and maintaining data pipelines to support financial transformation. The candidate will help customers achieve financial freedom through data-driven engineering solutions.
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Design and implement data ingestion, processing, and indexing pipelines for an AI-powered RAG Search application. Ensure secure and efficient data management from ingestion to retrieval while building advanced search capabilities.
Design end-to-end architecture for analytical models and data flows in GCP, including the training and deployment of predictive models. Manage cloud services, optimize BigQuery, and maintain technical logic for Power BI dashboards.
Design, build, and maintain scalable data pipelines and integration solutions within the Azure Cloud to enable enterprise analytics. Collaborate with stakeholders to deliver clean, structured data to Power BI using ADF, ADLS, and Databricks.
Senior/Staff Software Engineer, Data Engineering Team
The Voleon Group
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Full Time
·
Yesterday
The Voleon Group
Design and implement scalable data processing technologies, ingestion systems, and production-critical pipelines. Lead complex projects from requirements gathering to delivery while providing technical guidance and mentorship to the engineering team.
Senior/Staff Software Engineer, Data Infrastructure Group
The Voleon Group
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Full Time
·
Yesterday
The Voleon Group
Lead the design and implementation of scalable data infrastructure, including data cataloging, versioning, and lineage. Collaborate with research and engineering teams to improve data usage and define the technical roadmap.
Lead the design and evolution of the data platform architecture to ingest and transform high-variance clinical data. Build automated, production-grade pipelines and mentor other engineers to ensure scalable and reliable data product releases.
Design and develop scalable data pipelines in cloud environments using Snowflake as the central ecosystem. Collaborate with multidisciplinary teams to implement end-to-end advanced analytics projects and integrate modern ELT/ETL tools.
Design, implement, and scale backend systems that process large volumes of data for production-critical environments. Collaborate with data science and engineering teams to migrate toward a domain-based, scalable architecture.
Design, implement, and scale backend systems that process large volumes of data for production-critical environments. Collaborate with data science and engineering teams to build high-throughput, low-latency integrations and migrate toward a domain-based architecture.
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Design, implement, and scale backend systems that process large volumes of data for production-critical environments. Collaborate with data science and engineering teams to build high-throughput, low-latency integrations and migrate toward a domain-based architecture.
Design and deploy scalable Generative AI and Machine Learning systems, focusing on RAG architectures and agentic workloads. Build end-to-end AI features including backend API services, knowledge graphs, and evaluation frameworks to improve model quality.
Drive manufacturability, assembly, and quality excellence for complex data center infrastructure from concept through production. Lead DFx evaluations and tolerance management to reduce manufacturing-driven engineering changes and costs.
Build and maintain observability frameworks and intelligent automation solutions to ensure the reliability and performance of the EDAS platform. Collaborate with cross-functional teams to streamline data processing workflows and implement real-time monitoring and alerting.
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