Tech jobs
Job listings
Senior системный инженер (Systems / Infrastructure Engineer)
Senior системный инженер отвечает за управление, стандартизацию и автоматизацию инфраструктуры от железа до ОС в масштабной гибридной среде (600+ объектов), включая миграцию на Kubernetes и оптимизацию Big Data.
Sr Quality Analyst - ETL Tester
The Sr Quality Analyst validates ETL pipelines by writing SQL queries, designing test cases, and ensuring data accuracy from extraction to loading in data warehouses (Snowflake/Databricks) for a life sciences consulting firm.
Junior DevOps Engineer [$222k/yr] TS/SCI with Security Clearance
Implement and automate cloud infrastructure, manage Kubernetes clusters, and ensure system reliability using Terraform, Ansible, and AWS.
Mid-Level DevOps Engineer [$261k/yr] TS/SCI with Security Clearance
Administer secure cloud infrastructure, automate deployments, and maintain Linux systems using Kubernetes, AWS, Terraform, and CI/CD pipelines.
Junior DevOps Engineer [$222k/yr] TS/SCI-CI Poly with Security Clearance
Build and maintain DevOps pipelines, automate cloud infrastructure on AWS and Kubernetes, and manage Linux systems with Python, Bash, and Go.
Product Owner Data / IA (H/F)
Owns data and AI products, defining vision and roadmaps while collaborating with technical teams to deliver solutions that drive digital transformation for clients.
Data Engineer Apprentice
Build and maintain data pipelines in Palantir and MS Fabric, ensure data quality, and help create ontologies for governance at a global automotive supplier.
Technical Architect Contract Dublin
Designs and oversees technical solutions using Oracle PL/SQL, Angular, Java, and Spring, with exposure to Big Data and Hadoop.
Senior Software Engineer - Data Systems
Designs and builds secure, scalable cloud data pipelines on AWS for government defense systems, using Python/Java and CI/CD.
Project Manager (AI/Data)
Oversee AI/data projects from scoping to launch, balancing business goals, timelines, and budgets while leading cross-functional teams and stakeholders.
Data Engineer (Цифровой двойник)
Build and maintain data pipelines and ETL processes for Moscow’s Digital Twin, using PostgreSQL, Spark, Airflow, and Python to support urban planning decisions.
Аналитик данных (Департамент противодействия мошенничеству)
Analyzes fraud trends and builds dashboards in QlikSense to detect anomalies and support data-driven anti-fraud decisions using SQL, Python, and BigData tools.
Руководитель Data Science направления
Lead a Data Science team to build ML models for demand forecasting, dynamic pricing, and supply-chain optimization in a large restaurant group.
DevOps
DevOps engineer builds and maintains CI/CD pipelines and Kubernetes clusters for a top-3 bank’s new data cloud platform, automating builds, deployments, and infrastructure.
Lead Data Engineer, Finance Technology
Lead a team building scalable data pipelines and real-time analytics for Target’s finance systems using Hadoop, PySpark, Scala/Java, and cloud platforms.
Lead Data Scientist, Item Science
Lead a team building AI/ML models for retail item data, including GenAI, LLMs, and computer vision to automate catalog management, attribute enrichment, and search relevance at scale.
Lead Data Scientist, AML
Lead Data Scientist focused on developing and deploying generative AI/ML models (LLMs, RAG, deep learning) to solve retail challenges, collaborating with cross-functional teams to build scalable, production-ready AI solutions using Python, PyTorch/TensorFlow, and cloud-native tools.
Аналитик данных / DWH-аналитик
Senior/Lead Data Analyst builds and maintains DWH, ETL pipelines, and data models for fintech clients, using SQL, PostgreSQL, Greenplum, and Airflow.
Data Engineer Sports (all genders)
Build and maintain data pipelines and analytics infrastructure using cloud and big-data tools to support sports-related data products.
Senior Data Analyst, Planning & Inventory Management
Senior Data Analyst at Target’s Planning & Inventory Management team uses SQL, Python, and AI-driven tools to analyze retail data, optimize inventory, and forecast demand, improving supply chain decisions.