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Exadel is seeking a Senior/Lead Data Engineer to design and maintain scalable Spark applications and data pipelines for a major professional services client. The role involves utilizing PySpark, Databricks, and Python to optimize data processing workflows within an Azure-based microservices environment.
Builds and owns the data infrastructure underpinning Catapult’s AI-driven sports performance platform, including time-series databases, feature stores, and knowledge graphs for real-time athlete insights.
The Senior Data Engineer will design and maintain scalable data architectures and pipelines using Snowflake, Python, and SQL. This role involves setting data governance standards and collaborating with stakeholders to drive data-informed decision-making.
Build and secure RPA, ETL, and automation processes handling personal data, migrating them to controlled sources and Data Lakes using Python, Airflow, SQL, and cloud services (GCP/AWS).
This role involves architecting and building autonomous AI agents and RAG pipelines to automate enterprise workflows for non-technical users. The engineer will work on the full stack of LLM orchestration, tool-use, and production deployment using technologies like Python, Spark, and various vector databases.
The Senior Data Platform Engineer will design and evolve scalable logging infrastructure and data pipelines to support security observability at Clio. The role involves architecting ELK/OpenSearch clusters, managing petabyte-scale storage, and implementing Infrastructure as Code within a hybrid cloud environment.
The Senior Data Engineer will design, build, and optimize enterprise-scale data pipelines using the Azure and Databricks ecosystem. This contract role focuses on modernizing ETL/ELT processes, implementing data governance via Unity Catalog, and managing Databricks cost efficiency.
The Data Engineer will design and maintain a cloud-based data lakehouse on Azure to support clinical analytics and AI initiatives. The role involves building batch and real-time data pipelines, migrating healthcare data from legacy systems, and ensuring data integrity and compliance.
Build and design distributed storage, data lake infrastructure, LSM engines, and high-performance storage systems, primarily using C++ and big data processing frameworks.
Designs and builds Databricks-based data pipelines (batch/streaming) and Lakehouse architectures using Delta Lake, PySpark, and SQL for advanced analytics and data transformation.
Data Engineer designing and maintaining ETL/ELT pipelines with SQL, Python/Scala/Java, Airflow/NiFi/Prefect, and relational/NoSQL databases on a cyberdefense project for a large defense company.
GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops…
Build and own data lake/warehouse architecture, ELT pipelines, and data QA systems, integrating LLM workflows and vector databases using Python, SQL, and Apache Airflow.
Designs and builds scalable data lake architecture on Azure/Databricks, including layered data models, ingestion pipelines, and transformations using Python/PySpark for financial services data processing.
The U.S. Pharmacopeial Convention (USP) USP is an independent scientific organization that collaborates with the world's top experts in health and science to develop quality standards for medicines, dietary…
Builds and deploys AI/ML models, optimizes data pipelines, and integrates AI solutions into applications for energy industry clients, using Python, Snowflake, and frameworks like TensorFlow.
Design, deploy, and manage containerized data pipelines and data lake/lakehouse architectures using SQL Server, Python, Kubernetes, Apache Airflow, and Spark.
Freelance Azure Data Engineer building a modern cloud data platform on Microsoft Azure—designing data pipelines, warehouses, and data lakes to support reporting, analytics, and AI workloads.
Designs and scales data pipelines, warehouses, and lakes for a Belgian healthcare client using Microsoft Fabric, Azure, and advanced analytics tools while mentoring teams and ensuring data reliability.
Cloud Engineer focused on Azure Databricks platform infrastructure — designing and administering Azure foundations, Terraform IaC modules, Databricks workspaces, ADLS Gen2, Data Factory, networking, security, and monitoring for a global IT services client.
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