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At Macquarie, our Data Services Team drives innovation by delivering a diverse suite of data products that empower data-driven decision-making and enhance operational efficiency. With a strong focus on engineering,…
Job responsibilities Unified Observability Framework: Develop end-to-end monitoring for all infrastructure stacks, including Trino, Kubernetes, databases, and Big Data (Apache Ozone and Hadoop). CTO Strategic Tasks:…
The application window is expected to close on: 10/31/2026 This is a Hybrid position requiring Tuesdays and Thursdays on-site. In CA, the on-site requirement is Tuesdays in San Francisco and Thursdays in San Jose, CA;…
About LanceDB AI advances at the speed of its research, and research moves at the speed of its data. LanceDB is the AI-native Multimodal Lakehouse: one system where a researcher curates petabytes of video, audio, and…
Staff-level Data Engineer (women-only diversity hiring) at Grupo QuintoAndar, Latin America's largest real estate platform. Day to day: design, build, and maintain a scalable, secure data platform and end-to-end pipelines using Python, SQL, Spark, Airflow, AWS, and Databricks to empower analysts and data scientists. Remote-first anywhere in Brazil, with optional São Paulo office up to twice a week
DevOps Engineer supporting federal government customers from an onsite team at Fort Belvoir, VA. Day to day: build and automate AWS (especially EKS) and edge/on-prem infrastructure with Kubernetes, Terraform, Ansible, and Python/Bash, while ensuring monitoring, reliability, and scalability. Requires US citizenship and active TS/SCI clearance with CI polygraph.
Data engineer at Mobilink Microfinance Bank who designs and maintains the bank's Medallion Architecture data lake (Raw → Curated → Semantic) on Delta Lake over MinIO, building batch and streaming pipelines with Spark, Trino, Kafka and Sqoop, and delivering governed, BI/ML-ready datasets for Tableau. Based at the head office in Islamabad.
Data Engineer III on Inter's Data & AI Foundations team: builds, runs and evolves the Brazilian digital bank's data foundation — developing Python jobs and Airflow DAGs for the AWS data lake, operating Airflow/Trino, and applying Terraform/Docker plus data quality, data mesh and governance practices.
Business Analyst II on Inter's Investment Business Strategy team: builds and evolves commercial and product performance dashboards in Tableau Cloud, writes SQL queries against a data lake (Trino/Starburst), and creates Python automations to cut manual processes and deliver sales intelligence for the investments vertical.
About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps…
Mid-level data engineer who owns data pipelines end to end on AWS — ingestion, CDC, transformation, orchestration, monitoring, and on-call support — writing production Python and advanced SQL. Builds curated, well-modeled datasets in S3 data lakes and Redshift for analytics and AI consumers. On-site in Mandaluyong, Philippines.
Vega, a cybersecurity startup building an AI-native security operations platform, is hiring a Data Engineer for its AI team in Tel Aviv. The role designs, builds, and operates scalable batch and streaming data pipelines and storage layers (data lakes, warehouses, vector/graph DBs) that power production AI models and agents.
Lead the architecture and delivery of Veeam’s enterprise-scale Knowledge Graph and data-lake integrations, using graph databases (Neptune/Neo4j) and cloud lakehouse connectors to map data lineage, access, and AI risk for Fortune 500 customers.
Chainlink Labs is hiring a Senior Site Reliability Engineer to own reliability and operations of large-scale data infrastructure — Redpanda/Kafka streaming, Apache Flink, Kubernetes and AWS — keeping 99.9% availability, automating ops, controlling cost, and enabling self-service infrastructure via Terraform for engineering teams.
Обязанности: Разработка ETL до корпоративного хранилища данных Построение витрин данных Формирование отчетов в SQL Server Reporting Services, Excel, а также дашбордов в Power PBI Изучение бизнес-процессов компании…
Lead ML engineer owning the ML/R&D direction for Magnit's retail price-management system: develops demand-forecasting and price-elasticity models, recommends regular prices at SKU × store level, and drives methodology, research roadmap, design/code reviews and mentoring, productionizing models with Python, LightGBM, Airflow, dbt, Trino and ClickHouse.
Senior data analyst at Magnit Tech (the tech arm of Russian retail chain Magnit) who builds a unified methodology for measuring marketing effectiveness — running regional and incremental experiments, developing MMM and Causal Impact, and growing the CMI direction. Day-to-day work is SQL-heavy (Greenplum, ClickHouse, Trino) with Python, BI dashboards and causal-inference methods.
ML engineer on MAGNIT OMNI building and improving uplift models to personalize promo codes for Magnit's delivery business: develops training/scoring pipelines, improves the promo-distribution optimizer, and translates business metrics (GMV, CM2, CPO) into ML tasks. Core stack: Python, SQL, with Trino, S3, DVC, ClickHouse as a plus.
Pricing analyst on the MAGNIT OMNI delivery team at Magnit Tech: studies how price affects demand by designing and analyzing A/B tests and quasi-experiments (Difference-in-Differences, Synthetic Control), estimates price elasticity, improves the ML pricing model, and builds data infrastructure for pricing analytics. Core stack: Python, math statistics, Trino, Airflow.
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