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Дата аналитик (Big Data)
Data analyst role focused on big-data analytics, fraud prevention, sales quality, and user behavior research using SQL, Python, and Hadoop/Spark stacks.
Data Engineer
Builds and optimizes data pipelines for a large food producer’s analytics stack using Spark, Hadoop, Airflow, and Parquet, ensuring high-performance SQL and data quality.
Data Engineer (Контроль качества)
Builds and optimizes Hadoop-based data marts and ETL pipelines with Spark, Hive, and HDFS to power risk analytics for a major bank.
Data Engineer / Дата-инженер
Data Engineer builds and maintains ETL pipelines, data warehouses, and Spark/Hive-based solutions to process large datasets for clients in finance, healthcare, and other industries.
Senior Backend Software Engineer - ML Infra
Build and scale backend infrastructure for a machine-learning detection engine that identifies email and cloud-based cyberattacks.
Senior Data Analyst (Customer-Centric Planning)
Senior Data Analyst builds and maintains data pipelines (Airflow, Presto) and automates reports using Python and AI tools to support customer and supplier operations in an e-commerce logistics environment.
Senior Data Analyst (Customer-Centric Planning)
Senior Data Analyst builds and maintains data pipelines (Airflow, Presto) and automates reporting for Coupang’s Taiwan operations, using Python and AI tools to support customer and supplier teams.
DevOps Engineer
On-site DevOps Engineer in Augusta, GA, building and automating cloud and edge infrastructure using AWS, Kubernetes, Terraform, and Ansible to deploy and scale services for government customers.
Senior / Lead Data Scientist – Media Targeting and Media Mix Optimization
Builds customer segmentation and Bayesian marketing-mix models in Python to optimize media spend and targeting, then automates insight generation with LLMs.
Staff Data Analyst, Marketing Analytics
Staff Data Analyst in Marketing Analytics at GetYourGuide, Berlin, builds statistical models and experiments to optimize marketing spend and customer growth using SQL, Python, and visualization tools.
Data Engineer (фулл-тайм офис, со знанием англ. яз.)
A Data Engineer at Sber designs and develops data marts for corporate lending processes, analyzing business requirements, building prototypes, developing solutions, testing, and supporting deployed systems, using SQL and data warehousing principles.
Аналитик операционной эффективности
Analyzes and optimizes warehouse operations (receiving to shipping) using SQL, Python, and BI tools to build real-time dashboards and automate reporting for e-commerce logistics.
Machine Learning Engineer
Czym będziesz się zajmować? Project scope: Write production-ready code and use GPU or CPU resources according to ML workload capacity needs. Architect, automate and orchestrate cloud DevOps and MLOps pipelines. Create…
Cloud Software Engineer Level 2 AI/ML TS/SCI w/Poly
Build and deploy AI/ML-powered cloud services on AWS for national security, using Java, Kubernetes, and RAG frameworks while ensuring compliance and security.
Cloud Software Engineer AI/ML Project Top Secret/SCI w/Poly
Build and maintain cloud-based AI/ML and cybersecurity systems on AWS for national security, using Python, Java, and big-data tools like Hadoop and Accumulo.
Senior Solution Architect
Senior Solution Architect at Honeycomb partners with engineering teams to design observability solutions using distributed tracing and cloud-native tech, driving technical sales and POCs for enterprise customers.
Senior Software Engineer II - LLM Observability
Build backend systems in Go and frontend features in React/TypeScript to power AI observability, normalizing telemetry from diverse ecosystems into OpenTelemetry models for cost analysis and anomaly detection.
Senior Site Reliability Engineer
Build and scale Honeycomb’s backend infrastructure using AWS, Kubernetes, and observability tools to ensure reliability for high-volume customers while improving developer experience.
Product Manager - Scale
Own core product features for Honeycomb’s largest enterprise customers, focusing on lifecycle management, APIs, and scaling observability tools while collaborating with engineering and design in a triad model.