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Own the Integration Ecosystem at an AI-native startup: define how customer feedback data flows into the platform, build setup/management UX, and set reliability metrics for 50+ connectors.
Design and build end-to-end data pipelines and analytics infrastructure using Python, Spark, Iceberg, and dbt to enable enterprise reporting and decision-making across cloud and on-premise systems.
Build and maintain data integrations and connectors for a marketing intelligence platform, collecting and moving data between external APIs, databases, and cloud systems.
Technical Onboarding Engineer at Neo4j helps enterprise customers deploy and secure graph databases in cloud or hybrid environments, focusing on networking, IAM, and data modeling to accelerate time-to-value.
Principal Data Engineer builds and governs GCP-based data pipelines and ML-ready datasets for AI/GenAI systems, partnering with ML teams to enable training, inference, and monitoring at scale.
Build and deploy production-grade AI/ML and Generative AI systems using Python, LLMs, RAG, and MLOps pipelines for real-world business use cases.
Elevate machine learning capabilities as a Senior DevOps Engineer responsible for developing automated pipelines. Collaborate with scientists and engineers to streamline data processes. This role is targeted at…
Design and implement scalable GCP data pipelines using BigQuery, Pub/Sub, and Dataflow for enterprise clients in banking and financial services.
Build and scale a cloud-native, multi-tenant data platform for the automotive industry, enabling real-time analytics and AI use cases across thousands of dealerships.
Salary: Salary + Benefits Lead the evolution of our Azure Databricks platform and help shape the future of data engineering at Skills Group. Skills Group is looking for an experienced Senior Data Engineer - Azure…
Build and deploy AI-powered applications for U.S. government clients, integrating LLMs, vector stores, and microservices across the full stack.
Build and maintain ML pipelines, deploy models via APIs/containers, and monitor performance for government AI projects using cloud-native tools.
Designs and maintains data pipelines to ingest and process telemetry for a DoD enterprise, using tools like Splunk and Kafka to ensure secure, compliant data visibility and analytics.
Kenvue is currently recruiting for a: Manager - Data Engineering KDP What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house…
About Us Fractal Power is a vertically integrated power company built for the modern grid. We own and operate across the entire stack, combining utility-scale energy storage infrastructure with algorithmic trading and…
Build and maintain scalable data pipelines on Databricks using Spark/PySpark to power analytics, reporting, and risk systems for a large North American bank.
Build and maintain AI-native data pipelines that integrate manufacturing and development systems (MES, LIMS, QMS, ERP) to power analytics and AI models for biologic drug development at AbbVie.
Design and build data solutions for Mirvac’s Development & Construction teams, integrating design, cost, and commercial data to enable AI-driven project insights and reporting.
Build and maintain scalable AWS-based data pipelines for a national healthcare network, ensuring reliable ingestion, transformation, and delivery of clinical and operational data.
Senior Data Engineer builds and maintains secure Azure pipelines and data products for Alberta’s environmental regulatory platform, ensuring reliable, analytics-ready datasets for compliance and decision-making.
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