Design and architect scalable systems using MongoDB while guiding customers on architecture patterns and business value. Partner with sales teams to drive account success through technical discovery, demos, and pipeline generation.
Remote Data Engineering Jobs (1,306)
Tags = data-engineering
Design and architect scalable applications and infrastructure using MongoDB while guiding customers on optimization strategies. Partner with sales teams to drive account success through technical discovery, demos, and proof of value.
Lead a team of Salesforce system engineers to build and support scalable data solutions, specifically owning Dual Org Sync and Data Migration workstreams. Manage the full engineering lifecycle from design and delivery to operational support while integrating AI technologies to automate workflows.
Build and maintain reliable ELT/ETL pipelines and analytical data models using dbt and Kimball dimensional modeling. Collaborate with stakeholders to translate business needs into standardized metrics and well-documented datasets.
The role focuses on managing Snowflake account security and governance using Terraform-based Infrastructure as Code. Responsibilities include developing CI/CD pipelines, optimizing resource utilization, and implementing role-based access controls.
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Senior Platform Engineer (DevOps / Platform) (he/she/they)
Lite e-Commerce
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Full Time
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2 Weeks Ago
Lite e-Commerce
The role involves creating infrastructure standards and templates, managing observability stacks, and supporting Data Engineering and AI infrastructure. You will also be responsible for SRE practices, CI/CD optimization, and managing network infrastructure in darkstores.
Design, build, and maintain scalable ETL/ELT data pipelines and data models to support analytics and machine learning at petabyte scale. Develop production-quality Java and Python code for streaming and batch processing systems within a cloud infrastructure.
Staff Software Engineer - Java/Kotlin, Distributed Systems
Tenable, Inc.
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Full Time
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2 Weeks Ago
Tenable, Inc.
Design and develop scalable cloud-based search solutions and microservices for data ingestion, storage, and retrieval. Lead the architectural direction of the platform while mentoring junior and mid-level engineering staff.
The role involves reverse-engineering DeFi protocols and blockchain networks to translate complex on-chain data into structured, actionable datasets. You will architect intuitive data models and build high-throughput ingestion pipelines to provide granular insights into the crypto ecosystem.
Technical Business Data Analyst
Jovia Financial Credit Union
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Full Time
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2 Weeks Ago
Jovia Financial Credit Union
The role involves performing advanced data analysis and profiling using SQL and Python to identify anomalies and design data quality frameworks. Additionally, the analyst will develop BI dashboards and translate business hypotheses into technical requirements for data engineering teams.
Design and develop scalable BI solutions and interactive dashboards to transform complex healthcare data into actionable insights. Collaborate with cross-functional teams to ensure data quality and support data-driven decision-making for stakeholders.
Remote Senior Data Engineer – Databricks / Azure Data Platform
PROSTAFF Schweiz GmbH
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Full Time
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2 Weeks Ago
PROSTAFF Schweiz GmbH
Design, build, and maintain a scalable data platform using Databricks on Azure to centralize fragmented data sources. Develop data pipelines and implement Medallion Architecture to support reporting, analytics, and future AI use cases.
The role involves monitoring and resolving data quality requests while gathering and aggregating data to drive business decisions. The specialist will collaborate with data engineering teams to optimize workflows and enhance company data scalability.
The Senior Business Analyst designs and implements strategies to improve user acquisition, retention, and product engagement for payment products. This involves building self-service dashboards and applying advanced statistical modelling to solve practical business problems.
Design, develop, and optimize scalable data pipelines and cloud-based data platforms using Java and Python. Build robust data ingestion frameworks, APIs, and microservices while optimizing complex SQL queries for high-performance processing.
Intermediate Data Engineer with Power BI Skills
Blue Pearl PTY LTD
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Full Time
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2 Weeks Ago
Blue Pearl PTY LTD
Design and maintain scalable data pipelines using Databricks to support HR and People Analytics. Develop interactive Power BI dashboards and optimize data models to provide actionable workforce insights.
Lead the design and implementation of Buying Group frameworks and data models within Adobe Experience Platform and Adobe Journey Optimizer B2B Edition. Collaborate with cross-functional teams to translate business requirements into scalable B2B orchestration and engagement strategies.
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Lead the India Product Engineering team and Platform Operations to develop automation tools and ensure operational excellence across multi-cloud environments. Oversee technical delivery, security compliance, and the mentorship of engineers while collaborating with US leadership.
Data Product Manager | Machine Learning Platform
AB InBev | Growth Group
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Full Time
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2 Weeks Ago
AB InBev | Growth Group
Own the product direction for platform capabilities supporting the end-to-end machine learning lifecycle from data readiness to observability. Define the ML platform strategy and drive the adoption of standardized workflows and tools across data science teams.
Architect and deploy production-grade agentic AI systems and multi-agent workflows using frameworks like CrewAI and Langgraph. Responsible for designing autonomous AI systems, implementing MLOps practices, and optimizing LLM performance through RAG and PEFT.
Lead and develop a global team of data engineers to build and scale critical data pipelines and AI-ready analytical datasets. Partner with product and research leads to translate business requirements into scalable technical plans and production-grade data assets.
Design and implement customized Salesforce solutions and AI-powered automations using Einstein and Agentforce to improve operational efficiency. Lead complex integrations between Salesforce and enterprise systems while mentoring junior developers on AI best practices.
Own the entire data function including data engineering, analytics, and AI/ML to drive member outcomes and clinical decision-making. Partner with the executive team to translate company strategy into a coherent data roadmap and lead a multi-disciplinary team of data professionals.
Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Bluelight Consulting
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Full Time
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2 Weeks Ago
Bluelight Consulting
Design, develop, and maintain scalable ETL/ELT pipelines using Python, Snowflake, and Azure technologies. Optimize Snowflake workloads and implement dimensional modeling to build enterprise data warehouses.
Design and own the architecture of Databricks-based data platforms, including lakehouse design and medallion architecture. Lead complex data engineering initiatives and integrate AI/ML capabilities such as RAG and feature engineering pipelines.
The role is responsible for designing and building cloud-based data solutions and managing the development of business intelligence and data quality tools. It involves collaborating with cross-functional teams to create data pipelines and migrate legacy platforms to new cloud solutions.
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Lead the data organization as a player-coach, balancing hands-on pipeline development with strategic leadership of data, ML, and analytics teams. Design the long-term data architecture and establish standards for data quality and AI enablement across the company.
Lead the design and deployment of advanced predictive models, NLP solutions, and AI-powered tools to identify and act on caregiver risk. Collaborate with data engineering to build MLOps pipelines and mentor junior data scientists to improve population health outcomes.
Design and build enterprise data warehouses, lakes, and pipelines on GCP/AWS to support supply chain and real estate operations. Develop ETL infrastructure and data solutions to enable advanced AI/ML use cases like RAG and agentic AI.
Own the full lifecycle of ML models from data ingestion to deployment, focusing on building a risk detection system using LLMs and classical ML. Design and maintain scalable data pipelines and MLOps infrastructure to ensure model performance and business impact.
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