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Staff AI Product Analyst at Grafana Labs to define KPIs, measure AI-powered observability features, and guide experiments for products like Grafana Assistant and Investigations using SQL, dbt, and visualization tools.
Staff AI Product Analyst at Grafana Labs designs metrics, experiments, and dashboards to measure success of AI-powered observability features like Grafana Assistant and Investigations, using SQL, dbt, and visualization tools.
Staff AI Product Analyst at Grafana Labs designs metrics, experiments, and dashboards to measure AI-powered observability features like Grafana Assistant and Investigations, using SQL, dbt, and visualization tools.
Builds and maintains data pipelines, models, and integrations for a gambling company’s operational and reporting systems, with a focus on reliability, scalability, and documentation while leveraging AI tools responsibly.
We're building a new team inside Wenrix R&D. It covers DataOps, DevOps and infrastructure: the cloud, the data platform, CI/CD, observability, and the tooling every engineer, data scientist and analyst here…
Designs and builds scalable data pipelines and infrastructure to power analytics and AI/ML at a global caller-ID app with 450M+ users, using Spark, Kafka, BigQuery, and Airflow.
Designs and implements data pipelines and storage architectures for high-load entertainment services, collaborating with product managers, analysts, and SQL developers to build scalable data solutions.
Build and maintain Exness’s data platform in Limassol, Cyprus, designing scalable data warehouses, ETL/ELT pipelines, and analytics-optimized databases to ensure reliable, high-quality trading data for over a million clients.
Build and maintain ETL/ELT pipelines and Python backend services to process and deliver football analytics using PostgreSQL, ClickHouse, and cloud infrastructure.
Build data pipelines and connectors for regulatory compliance and reporting at a global payments firm. Uses SQL, Python, cloud data warehouses, and APIs to support risk teams.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines in Python, using AWS and DBT to process JSON/CSV/XML data for analytics and ML in a hybrid SaaS/on-premise environment.
Designs and implements modern data architectures including medallion/lakehouse patterns, builds event-driven data pipelines processing billions of documents, and creates analytics infrastructure for AI/ML initiatives on AWS.
Build and maintain the company’s data warehouse and ETL pipelines, then deliver analytics and reports to guide retail strategy using SQL, Python, and BI tools.
The Data Engineer will design, build, and maintain scalable cloud-based data pipelines and ETL/ELT frameworks using Snowflake, DBT, AWS, Python, and SQL. The role involves developing data models, ensuring data quality, and implementing security and governance standards for enterprise data solutions.
Own and evolve a modern data platform (Snowflake, dbt, Dagster, AWS CDK) powering bookings, marketing attribution, and business metrics for a remote-first adventure travel scale-up.
Architect, build, and scale backend services for an agentic AI platform at Adobe, designing APIs, data pipelines, and agent orchestration infrastructure using Python, LLMs, vector databases, and cloud platforms.
The Analytics Engineer will manage and improve mobile marketing data pipelines and reporting systems using SQL and Python. This role involves troubleshooting production data issues and collaborating with stakeholders to build scalable data solutions for marketing attribution and measurement.
Build and scale analytical data products for investment teams at iA Global Asset Management, working end-to-end from data ingestion through visualization using Python, dbt, GCP/BigQuery, Power BI, and Streamlit.
Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by…
Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API…
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