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about sciemo Sciemo builds AI for consumer goods: technology that helps businesses make faster, smarter, and more human decisions across the entire IBP process. From optimizing promotions to balancing demand and…
Designs and deploys secure, scalable data pipelines and warehouses for defense/intelligence clients, using Spark, Kafka, and cloud platforms in classified environments.
Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to…
Mandatory Skills: Strong Python (test frameworks, libraries, CLI tools); advanced SQL Hands-on DBT, Airflow, Snowflake or similar; ETL/ELT and data modeling Great Expectations/Soda; lineage and catalog systems…
Data Engineer at an AI-enabled software consultancy building, deploying, and monitoring performant data pipelines for Fortune 1000 clients using SQL, MPP platforms (Snowflake, Databricks, etc.), cloud services, and transformation tools.
Staff Data Engineer At a Glance Staff-level data engineering role building large-scale, distributed data systems and pipelines Belfast, hybrid working Circa £80,000 to £90,000, dependent on experience Modern data…
Data Engineer role focused on evolving an on-premise data platform and migrating it to an Azure Databricks Lakehouse architecture, using Python, Apache Airflow, and SQL/PostgreSQL on a daily basis.
Develops and optimizes data pipelines, builds data products, and migrates an on-premise platform to Azure Databricks Lakehouse using Python and Airflow.
The Senior Machine Learning Engineer will design, develop, and deploy computer vision models for object detection, tracking, and OCR to power real-world applications in parking and mobility. The role requires expertise in Python, deep learning frameworks, and model optimization for production environments.
Forward Deployed Data Scientist partnering with health system customers to transform messy healthcare data into ML-ready pipelines, deploying LLM-based models and analytics using Python, PyTorch/TensorFlow/HuggingFace, and MLOps tools like Airflow and Docker.
About Our Company: Headquartered in Denver, Colorado, Cologix is a leading North America network-neutral interconnection and hyperscale edge data center company. Our platform gives customers access to 45+ digital edge…
СберЗдоровье — аккредитованная IT-компания , крупнейшая в России Digital Health-платформа, объединяющая различные сервисы цифровой медицины. Сервис начал свою работу в 2012 году под брендом DocDoc. Мы помогли миллионам…
Лаборатория искусственного интеллекта - это новый отдел, основной задачей которого является внедрение технологий ИИ в бизнес-процессы банка. Мы развиваем свою MLOps платформу (Kubernetes, JupyterHub, AirFlow, MLflow и…
The Data Platform Engineer will design, build, and maintain a central data platform to support analytics and AI/ML initiatives. The role involves developing scalable data pipelines and collaborating with stakeholders to ensure secure, high-quality data delivery using technologies like Databricks, Snowflake, and Azure.
Data Engineer designing and maintaining a central data platform (Databricks, Snowflake, Python, SQL) supporting analytics and AI/ML workloads at a precision instruments company.
Builds and maintains data pipelines, migrating systems to a new framework while ensuring data quality, integrity, and reliability using Python, Java, Kafka, Airflow, and cloud storage solutions.
Data engineer responsible for migrating pipelines to a GDP framework, building ingestion scripts, governing data quality, and deploying containerized apps using Docker and Kubernetes, with core technologies including Python, Airflow, Iceberg, Datahub, and Ranger.
The Data Engineer will build and maintain ETL/ELT pipelines, manage cloud data platforms, and ensure data quality using Python, SQL, and various cloud data warehouse technologies. The role involves collaborating with cross-functional teams to support both batch and real-time data processing.
This Data Engineer role involves designing and maintaining scalable ETL/ELT pipelines and data infrastructure to support AI and machine learning initiatives within a financial services organization. The position requires strong proficiency in Python, SQL, and cloud data environments to ensure high-quality data accessibility for engineering teams.
The Data Engineer will design, build, and maintain ETL pipelines and data marts within a banking environment using PySpark and Python. The role involves managing the full SDLC, from development through production deployment and support, while working with diverse data types.
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