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Neo4j Data Engineer
Build Neo4j-powered fraud detection systems for banks, modeling customer/account relationships and applying graph algorithms to uncover money-laundering rings and account takeovers in real time.
Data Engineer-Neo4j
Designs and optimizes Neo4j graph models for banking data to detect fraud and build real-time AML dashboards using GDS algorithms and Bloom visualizations.
Data Engineer
Build and maintain data pipelines, ETL/ELT systems, and warehouses in AWS to feed analytics and ML models, using Python, SQL, Spark and Kubernetes.
Data Engineer Neo4J
Design and optimize Neo4j graph models for banking data to detect fraud patterns using GDS algorithms, then build real-time dashboards for Risk and AML teams.
Data Engineer - Factory Barcelona
Senior data engineer building ETL pipelines and data architectures using SQL/NoSQL, Fabric, AWS Glue/EMR, and Databricks, with optional MLOps and Azure exposure.
Senior Software Engineer (Data Platform)
Senior engineer building scalable data infrastructure for real-time network security analytics using Python, Kafka, and Kubernetes in a cloud-native environment.
Data Platform Engineer (Kafka)
Build and operate Verifone’s global data platform: Kafka streaming pipelines, multi-database systems, and cloud/on-prem infrastructure to power AI, analytics, and secure payment services.
Data Platform Engineer (m/f/d)
Build and maintain scalable data pipelines and cloud-based analytics platforms using Snowflake, Databricks, and Python, ensuring reliability, performance, and governance.
Lead Data Engineer
Lead a team to design and build scalable AWS-based data pipelines, warehouses, and real-time analytics using Python, Snowflake, and orchestration tools.
Data Engineer
Build and scale a cloud-native data platform in AWS (S3, Iceberg, Spark, Airflow) to process 100M+ objects with sub-500ms latency APIs for a new UK consumer credit bureau.
Data Engineer (All Levels)
Build and maintain scalable data pipelines and infrastructure for a talent-cloud platform, enabling analytics and AI-driven features using Python, SQL, cloud services, and streaming tech.
DevOps Engineer III
Designs and manages Kubernetes-based data services on AWS and GCP, automates infrastructure with Terraform and CI/CD pipelines, and supports cloud-native data tools while leveraging AI-powered DevOps tooling.
Senior DevOps Engineer
Principal DevOps Engineer designs and maintains scalable cloud infrastructure, Kubernetes clusters, and CI/CD pipelines for a B2B data intelligence platform using AWS, GCP, Terraform, and Python.
Senior DevOps Engineer
Senior DevOps Engineer designs, deploys, and maintains cloud-native data infrastructure and CI/CD pipelines using Kubernetes, Terraform, and AWS/GCP services to ensure scalable, secure, and cost-efficient data processing and monitoring.
Senior Data Engineer - Agentic AI Engineering
Designs and builds secure, scalable data pipelines and infrastructure to power AI agents, RAG systems, and vector databases for Boomi’s agentic AI platform.
Solutions/Data Bricks Architect - Remote
Designs and implements secure, scalable Databricks-based data lakehouse solutions for federal clients, integrating with AWS GovCloud/Azure Government and ensuring compliance with FedRAMP, FISMA, and NIST standards.
Senior Data Solutions Engineer
Designs and implements cloud/hybrid data pipelines, advanced analytics, and AI-driven solutions (e.g., ML models, dashboards) to transform raw data into actionable insights for enterprise clients. Core tech: Azure/AWS/GCP, Python/SQL, Spark, Kafka, and Azure OpenAI.
Expert Data Engineer
Build and maintain secure, compliant big-data pipelines on AWS, using Python, PySpark, and Terraform to provision analytics-ready datasets for enterprise reporting and governance.
Lead / Architect - Software Engineering / DevOps / Automation / DevSecOps - IC
Lead a team to design and implement scalable OTT media platforms, hybrid-cloud microservices, and DevSecOps pipelines that embed security into CI/CD while improving reliability and time-to-market.