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Build real-time data pipelines and ML workflows on AWS, integrating LLMs into agentic CX features for NiCE’s workforce-management products.
Lead architecture and delivery of AI-native Amazon Connect contact center solutions, building generative AI agents with Bedrock/Claude, orchestration patterns, and full-stack serverless systems while mentoring teams.
Build and maintain ETL/ELT pipelines, data models, and dashboards to power business intelligence and reporting for an autonomous-vehicle company.
Build and maintain healthcare-focused data pipelines and models in Snowflake and AWS, turning provider, claims, and audience data into trusted marketing insights using Python, Airflow, and EMR.
A Data Engineer responsible for designing and implementing scalable data pipelines, transforming business requirements into reliable data assets, and ensuring data accuracy across the enterprise, working with multiple teams including Data Governance, Analytics, and IT systems.
Senior Data Engineer builds and maintains cloud-based data platforms on AWS, focusing on data ingestion and processing pipelines using Spark, Python, and AWS services.
The Data Analytics Engineer will support the Data Excellence Team by processing, cleansing, and analyzing large-scale datasets to provide actionable business insights. The role involves working with cloud-based technologies including AWS, Snowflake, Hadoop, SAS, and Power BI to develop data models and reporting solutions.
About us Humaans is building the next generation of infrastructure for the workplace; software designed for companies that are scaling fast, operating globally, and pushing into new boundaries. What started as a system…
Designs and executes test strategies for AWS-based cloud data platforms, validates ETL/ELT pipelines, ensures data integrity, and builds automated testing frameworks using AWS Glue, EMR, Redshift, DynamoDB, SQL, PySpark, and Python.
Position Summary: The AWS DevOps Engineer designs, automates, secures, and supports AWS cloud environments and CI/CD platforms. This role serves as a technical expert in Infrastructure-as-Code, cloud operations,…
Design and maintain scalable data pipelines for Grab’s lending business using Flink, Spark, Kafka, and AWS services to deliver real-time metrics and analytics.
Senior Data Engineer builds serverless AWS pipelines and data models to power AI/ML and analytics for ParetoHealth’s healthcare cost-reduction platform.
Build and maintain scalable data pipelines and warehouses for a fast-growing mobility app, using Python, Spark, Kafka, and cloud data warehouses like Snowflake.
The AI Solutions Architect will lead technical pre-sales efforts for Humaans' agentic AI platform, Athena, by building tailored demos, managing integrations, and guiding enterprise customers through technical architecture. This role bridges the gap between deep technical product knowledge and commercial execution to drive enterprise sales.
Builds and scales a real-time formative assessment platform (Pear) for K-12 educators, combining React-based classroom interfaces with TypeScript backend services, OpenSearch semantic search, and AI-driven insights to enable live/asynchronous learning analytics.
Lead a greenfield data platform, build scalable pipelines, and embed AI across the data lifecycle for a hospitality-focused SaaS provider.
Analyzes financial data, pricing, and market trends to drive strategic decisions for a global SaaS company, creating dashboards, forecasts, and AI-augmented economic models.
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more…
The Data Engineer will design, build, and maintain reliable data pipelines and warehouse models to support analytics and reporting for an agricultural software platform. The role involves working with AWS, Python, and SQL, while collaborating across teams to ensure data quality and system reliability.
Designs and delivers mission-critical data services for National Security clients, building robust data pipelines using Python, Apache Spark, NiFi, and cloud technologies to process diverse data sources at scale.
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