Design and build scalable backend systems using Java, with deep expertise in production-grade application development.
Lead the architecture and implementation of distributed systems, ensuring reliability, scalability, and performance across complex multi-service environments.
Develop and optimize concurrent and multi-threaded applications, implementing thread synchronization patterns for high-performance data-intensive systems.
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. The company emphasizes a culture of innovation and collaboration, with a growing team focused on delivering data-driven solutions.
Design and develop scalable, maintainable, and reusable software components with emphasis on performance and reliability.
Develop solutions to access data from multiple databases and data lakes, collaborating with product managers.
Participate in design and code reviews, ensuring best practices in performance, maintainability, and testability.
ServiceNow is an AI platform that helps businesses automate workflows and drive reinvention. It serves 85% of the Fortune 500 and fosters an AI-native culture where technology and talent combine.
Build and maintain reliable data pipelines and ETL/ELT workflows.
Develop and optimize data models for analytics and internal tools.
Support core data platform tools like Spark and AWS, and monitor pipeline quality and performance.
Sonatype is the software supply chain security company, providing end-to-end software supply chain security solutions. Over 2,000 organizations, including 70% of the Fortune 100, and 15 million software developers rely on Sonatype to optimize their software supply chains.
Identify, design, and implement internal process improvements to automate manual processes and optimize data delivery.
Collaborate with data and analytics experts to enhance functionality in data systems.
Develop ETL jobs using MSSQL, Snowflake, Talend, and other tools to move data from OLTP databases to the Data Lake.
GreenSky is a financial technology company that provides innovative lending solutions. The company fosters a culture of collaboration and data-driven decision-making.
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.
Design and implement a petabyte-scale AWS data platform using advanced engineering and cloud-native practices.
Build and optimize highly scalable data pipelines using JVM languages, Spark, and Python for production-ready data processing.
Act as a principal-level technical leader, mentoring engineers and driving architectural decisions to guide platform evolution.
Experian is a global data and technology company that powers opportunities for people and businesses around the world. With 25,200 employees across 32 countries, they have a people-centric, inclusive culture recognized as a World's Best Workplace.
Design, develop, maintain, and optimize ETL and data transformation processes.
Develop and maintain Apache Spark-based data pipelines and contribute to data integration initiatives.
Ensure data quality, reliability, and performance across data processing solutions.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, the company delivers impactful, future-ready solutions.
Own the data layer and analytics architecture, including schema and data model for analytical data.
Find and fix database performance and scaling problems under concurrent customer-facing load.
Design and build a tiered analytics platform spanning system of record, low-latency serving, and batch/ML tiers.
Oscilar builds an AI Risk Decisioning Platform that helps banks, fintechs, and digital organizations manage fraud, credit, and compliance risk. The company is mission-driven and remote-first, with a team of industry veterans from Meta, Uber, Citi, and Confluent.