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The AI Engineer will leverage advanced analytics, statistical modeling, and LLM frameworks to solve complex business problems for a global client portfolio. The role involves building automated data pipelines, managing cloud infrastructure, and implementing LLM observability and security guardrails.
Únete a la revolución Fintech y construye el futuro de las finanzas en México! ¿Quiénes somos? Somos la empresa de tecnología financiera líder en México, impulsando a más de 70.000 clientes a alcanzar sus sueños.…
To be considered for this position, applications and resumes are accepted only through our careers site by directly applying to the posted job. We do not accept unsolicited resumes or sales solicitations from staffing…
Data Architect designing and modernizing a cloud data platform using Snowflake, dbt, and AWS, with responsibilities spanning pipelines, data modeling, governance, and mentoring data engineers.
We are currently growing our support team at ClickHouse, which provides excellent service to our customers around the world. We are seeking a Senior Technical Customer Support Engineer to join our global Support…
Devoteam is seeking a Senior Data Engineer to design and industrialize data pipelines on AWS for client projects. The role involves collaborating with business stakeholders, managing data platforms, and contributing to technical pre-sales activities.
Lead Full-Stack Engineer designing and scaling a restaurant POS platform for tens of thousands of users, focusing on offline-capable systems, real-time order flows, and fault-tolerant architectures with Node.js/TypeScript and Vue.
The Senior Site Reliability Engineer will design and manage AWS cloud infrastructure, lead cross-functional cloud transition initiatives, and build shared services to support developer productivity. The role focuses on operational rigor, automation, and maintaining 24/7 availability for financial services platforms.
About the Role: We are seeking a highly skilled and experienced Data Engineer to join our dynamic data and analytics team. The ideal candidate will have strong technical skills in AWS data services and will be…
Enterprise Data Architect designing canonical data models, data governance frameworks, and integration patterns for the FAA's Brand New Air Traffic Control System (BNATCS), using data modeling tools and cloud platforms like AWS GovCloud and Azure Government.
Staff Data Engineer building scalable data platforms and pipelines on AWS (Glue, Redshift, Athena, EMR) using Python, PySpark, and Scala for CommBank's Business Banking Technology team.
Senior data engineer on the AdTech team building scalable batch and real-time data pipelines and backend services for advertising reporting and analytics using Spark, Flink, Kafka, Airflow, and AWS.
Senior Data Platform Engineer on Clio's Security/Logging Engineering team, designing and building scalable logging infrastructure, high-throughput data pipelines, and ELK/OpenSearch deployments at petabyte scale using streaming and cloud-native technologies.
The Data Engineer will design and maintain cloud-native data pipelines and infrastructure on AWS to support AI/ML, LLM, and analytical workloads for the Joint Warfare Analysis Center. This onsite role requires expertise in AWS data services, FinOps, and DoD security compliance within a high-security environment.
Company Overview Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model". With 25+ years of transforming…
Senior Data Engineer building real-time and batch data pipelines for a programmatic advertising platform, using Python, SQL, Kafka, and cloud data warehouses (BigQuery/ClickHouse) on AWS/GCP.
Data Engineer designing and maintaining scalable data pipelines, data warehouses, and cloud-based data platforms using SQL, Oracle PL/SQL, Python, and AWS services to support analytics and business decision-making.
Data Engineer building and maintaining real-time and batch IoT data pipelines using AWS services (Redshift, EMR, S3, Lambda, Kinesis, MSK), SQL, and Python/Java/Scala to deliver data to analytics and product teams.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
This role involves building production-grade agentic systems and AI-ready data platforms for enterprise clients using Snowflake, dbt, Airflow, and LLM frameworks. The engineer will focus on unstructured data extraction, agent orchestration, and establishing evaluation practices for non-deterministic AI workflows.
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