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Principal engineer building and scaling a global KYC and risk-assessment data platform, integrating agentic AI workflows and LLM pipelines while enforcing security and regulatory controls in a large financial institution.
Lead the design and development of scalable data pipelines and analytics platforms for a large healthcare provider, using Python, SQL, Spark, and cloud technologies.
Principal Data Engineer at Mayo Clinic designs and builds enterprise-scale data pipelines and analytics platforms using Python, SQL, Spark, and cloud tools to support healthcare analytics and ML workloads.
Principal Cybersecurity Data Engineer builds and scales a cloud-native security data lakehouse, ingesting and enriching 300+ high-velocity feeds to power real-time threat detection and AI-driven analytics for Workday’s enterprise defense.
Lead a team building scalable data pipelines and a control plane for IAM data using Databricks, Python, PySpark, and AWS, ensuring quality, security, and observability while mentoring engineers and adopting AI-assisted development tools.
Senior Data Engineer builds and scales GCP-based data pipelines, AI/ML-ready datasets, and self-service tools for Equifax’s analytics platform, using BigQuery, Dataflow, and Vertex AI.
Design and optimize cloud-based data warehousing and analytics solutions using Snowflake, focusing on ELT pipelines, performance tuning, and data security for enterprise clients.
Develops advanced ML models (e.g., transformers, deep learning, graph-based) to solve healthcare challenges, focusing on revenue cycle analytics and production deployment for PwC’s advisory clients.
Build and maintain the data platform for an AI-powered SaaS finance automation product, designing Snowflake pipelines, Power BI reports, and robust data models that power critical business decisions.
Analyze retail/ecommerce data using GCP tools like BigQuery, SQL, and Python, then build BI dashboards in Looker Studio or Tableau.
Njuškalo is the largest Croatian marketplace with more than 1.1 million active users. We provide our users a simple and intuitive platform for buying and selling, and our employees with a pleasant business environment,…
Build and scale the AI-powered marketing platform that automates performance marketing with autonomous agents, using Python, data pipelines, and ML systems.
Designs and maintains scalable data pipelines and warehouses to power analytics and AI at a digital healthcare company, using Python, SQL, AWS, and Airflow.
Leads a team to design, build, and maintain scalable data pipelines and platforms for analytics, AI insights, and reporting at a healthcare-focused company, using cloud-native tools like AWS, Databricks, and Airflow.
Designs and maintains large-scale data pipelines on Google Cloud Platform (GCP) to process petabyte-scale data for analytics and machine learning, using BigQuery, Dataflow, and Pub/Sub.
Company Description At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this…
Senior Machine Learning Scientist Location: Amsterdam Department: Development This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and…
Senior Commissioning Engineer at CodeGreen in NYC leading building commissioning projects for sustainability and decarbonization. Balances technical oversight with project management across multiple client engagements, focusing on mechanical systems, building automation, and energy efficiency. Hybrid role with travel to NYC client sites.
Senior DevOps Engineer (Data Platforms) - LATAM Based Location: LATAM - Remote Department: Managed Services Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin…
Senior Data Engineer Location: India - Remote Department: Data Engineering Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with…
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