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Test Automation Engineer
Senior Test Automation Engineer builds and maintains automated test frameworks using C#/.NET, Selenium/Playwright, and CI/CD pipelines to ensure software quality in complex, mission-critical systems.
Product Manager, Finance Data and Insights
Owns finance data and reporting products for JPMorgan Chase’s Consumer & Community Banking, driving automation, analytics, and AI-enabled solutions to improve productivity and controls.
Software Engineer, AI/ML Solutions
Build and scale ML platforms and infrastructure for JPMorgan Chase, enabling data scientists to train, deploy, and monitor models securely in a fintech environment.
Quality Assurance Engineer
Build and maintain automated test suites for an AI-driven data platform (FastAPI, PostgreSQL, ClickHouse) and VSCode extension, triaging bugs and reviewing AI-generated tests.
Applied Artificial Intelligence and Machine Learning Lead
Lead the design and deployment of ML models to detect fraud in merchant transactions using graph-based features, GNNs, and real-time pipelines in a regulated financial setting.
AI/ML Solutions Manager of Software Engineering
Lead engineering teams building and scaling machine learning platforms for JPMorgan Chase, overseeing ML infrastructure, MLOps pipelines, and responsible AI adoption to empower data scientists and ML engineers.
Senior Data Engineer (Snowflake)
Builds and maintains ETL pipelines and SQL Server data warehouses, with hands-on work in SSIS, T-SQL, and Snowflake.
Data & AI Platform Engineer
Build and maintain cloud data/analytics platforms (Microsoft Fabric, Snowflake, Databricks) and deliver BI solutions (Power BI, Tableau) for clients.
Databricks Senior Manager - US (New York)
About Kubrick Kubrick is an award-winning consultancy that helps organizations design, build and scale data and AI solutions that deliver lasting impact. Our clients span a wide range of industries, including financial…
Data Analytics Engineer II (Fintech, Hybrid)
Build and maintain data pipelines and analytics models for a fintech payments platform using SQL, Python, BI tools, and modern data warehouses.
Senior Data Engineer: Snowflake, DBT & Glue Pro (Contract)
Senior Data Engineer builds and maintains data pipelines using Snowflake, DBT, and AWS Glue for a consulting firm’s clients, focusing on scalable data solutions.
Data Engineer III - Spark, AWS & Snowflake (Toronto)
Builds and maintains scalable data pipelines using Python, Apache Spark, AWS, and Snowflake to transform restaurant data into insights.
Senior Data Engineer Focusing on Data Analytics and Collaborative Solutions
Senior Data Engineer builds and optimizes Snowflake data models with dbt, leads Agile projects, and collaborates with stakeholders to deliver analytics solutions that drive business decisions.
Senior Data Architect
Designs and implements enterprise-scale data platforms and pipelines for analytics, compliance, and AI/ML use cases using cloud tools like Snowflake and AWS.
Data Engineer: Scalable Pipelines on Snowflake/Databricks
Design, build, and optimize scalable data pipelines and models on Snowflake and Databricks to feed analytics and reporting.
Data Engineer
Designs and builds scalable ETL pipelines in Snowflake/Databricks to integrate and transform financial data for analytics and reporting.
eCommerce Business Analyst & Project Coordinator (remote in Uzbekistan)
Owns and coordinates Mirantis’ cloud marketplace listings (AWS/Azure) and eCommerce operations, driving onboarding, updates, and automation while managing cross-functional projects and reporting on commerce metrics.
Senior AI Engineer, Enterprise Data & AI
Build and deploy enterprise AI systems, including agentic workflows and LLM integrations, using AWS, Palantir Foundry, and Snowflake to deliver scalable data insights.
Data & AI Platform Engineer – Scalable Analytics
Builds and maintains scalable data pipelines and AI platforms using Snowflake, Palantir Foundry, and PySpark to power analytics for functions like HR and procurement.
Senior Data Engineer: PySpark/Python for Scalable Data
Designs and optimizes scalable data pipelines using PySpark and Python, ensuring data quality and traceability for a data-driven product team.