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Build and maintain scalable data pipelines and warehouses for government digital services using Python, SQL, AWS, and Spark to transform raw data into actionable insights.
The Data Engineering Tech Lead will architect and build Nimble's core data infrastructure, including storage, caching, and indexing systems. This role involves leading technical strategy for data scalability and mentoring engineering teams to support real-time web search and AI data pipelines.
Lead the design and evolution of an enterprise AWS data platform, building scalable data pipelines and setting engineering standards for a global digital signage and customer experience company.
Senior Python engineer builds serverless backends on AWS Lambda, designs REST APIs, and integrates DynamoDB/SQS for a global IT services firm.
About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent…
ClickHouse welcomed Langfuse, the leading open-source platform for tracing, evaluation, and observability, to strengthen its position in the AI infrastructure and LLM observability ecosystem. With ClickHouse and…
Lead complex technical programs across Apple's Contact Center Technologies platform, managing the full project lifecycle from requirements and technical design to testing and deployment. The role involves Agile/Scrum delivery, cross-functional stakeholder alignment, and tools like Jira, Confluence, and AWS services.
Builds and maintains AWS-based data pipelines (ingestion, transformation) for a Data Lake/Lakehouse, ensuring scalability, security, and compliance while collaborating on architecture standards and troubleshooting data issues.
Build and maintain robust data pipelines and cloud architectures to ensure reliable, high-quality data flows that power business decisions in a fintech setting.
Owns AI product delivery for military planning and real-time alerting systems, driving deployments in classified environments and translating operational needs into platform requirements.
Build Harbor Compliance's first end-to-end data platform — designing real-time streaming/CDC pipelines, vector database infrastructure for AI use cases, and a cloud warehouse/lakehouse layer using Kafka/Flink/Debezium, dbt, and Snowflake/BigQuery/Databricks.
Data Platform Lead owning end-to-end data architecture for a new mobile game, using AWS, dbt, Airflow, Python, and SQL to build infrastructure capable of processing billions of daily events.
Senior Full-Stack Engineer building production-grade digital platforms with Java/Spring Boot backend and React frontend, leveraging AI coding agents to accelerate development at a digital transformation consultancy.
Senior Software Engineer builds and maintains backend systems for project44’s Decision Intelligence Platform, focusing on AI-driven logistics data transformation, scalable microservices, and cloud-based integrations to enhance supply chain decision-making.
Build and maintain backend integrations for a supply-chain visibility platform, using Java, Kafka, and multi-cloud (AWS/GCP) to connect carriers and customers in real time.
The Senior Data Engineer will design, build, and operate cloud-native data platforms using Python, Spark, and modern orchestration tools. The role focuses on applying software engineering best practices to data pipelines and cloud infrastructure.
Designs and maintains end-to-end cloud data pipelines (ingestion, transformation, orchestration) in a fintech company, using AWS, dbt, Airflow, and IaC to build an AI-ready data platform for global money transfers.
The AI Strategist at AWS works within the Generative AI Innovation Center to help customers identify, design, and implement generative AI and machine learning solutions. The role involves bridging the gap between business goals and technical execution, requiring expertise in cloud architecture, AI/ML, and stakeholder management.
Designs and maintains high-availability full-stack systems handling large data volumes, focusing on core JavaScript/TypeScript principles, distributed architectures, and backend scalability.
Designs and manages the company’s data architecture, including real-time streaming, data lakes, and AI-ready infrastructure, for a trading-focused analytics platform.
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