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Job Number: R0245401 Databricks Lakehouse Engineer and Analyst, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the…
Description: We are expanding our team at Piligrim and looking for a strong Senior Data Engineer / Solution Consultant for long-term enterprise projects and data platform modernizations. What you will do: Design and…
Senior Data Analyst who designs data models, builds analytical pipelines, and translates complex findings into actionable business decisions for a digital estate planning platform.
Position Overview Principal Full Stack Engineer Cloud FinOps Platform in Dubai, UAE will lead the architecture, design and enterprise delivery of a multi‑cloud FinOps platform integrating Azure, AWS and OCI…
Designs and implements scalable data platforms using Databricks Lakehouse, Delta Lake, Spark, and PySpark, modernizing ETL pipelines from Informatica to Databricks in a hybrid Azure/AWS/GCP environment.
The Chief Architect will lead a Databricks practice by designing enterprise data solutions, managing large-scale cloud migrations, and driving presales activities. This hands-on role requires deep expertise in Spark, Lakehouse architecture, and modern data engineering tools to mentor teams and deliver high-impact AI and data platforms.
The Senior Data Engineer will design and build enterprise data products using Microsoft Fabric, working across on-prem and cloud environments. The role involves collaborating with stakeholders to translate business requirements into scalable data pipelines and lakehouse solutions.
The Data Engineer will design, build, and maintain a scalable data platform and MLOps infrastructure using Microsoft Azure, Python, and Spark. The role involves automating data pipelines, implementing data governance, and deploying LLM-based workflows to support data-driven decision-making.
Why Eagle Is a Premier Place to Work: At Eagle, we invest in our people and back it up with meaningful benefits that support your health, financial future, and time to recharge. · Comprehensive Health Coverage Eagle…
Principal GenAI Consultant designs and deploys production-ready generative AI solutions on Databricks for enterprise clients, leading full lifecycle projects from architecture to deployment.
The Data Engineer will design, develop, and maintain ETL/ELT data pipelines on Google Cloud Platform. The role involves working with technologies like Python, Spark, BigQuery, and Airflow to build scalable data architectures.
The Data Science Analyst will design, build, and maintain data pipelines and models using Palantir Foundry, Python, and PySpark. They will collaborate with clients to translate business requirements into technical data solutions and ensure high data quality.
Analytics Engineer owning finance metrics, reporting, reconciliation, and forecasting using dbt, Databricks, SQL, and Python across four family-tech SaaS brands.
Own and evolve CoreGo’s Databricks-based data platform, building scalable ingestion and transformation pipelines while ensuring governance, security, and cost efficiency.
Owns cloud data infrastructure for Exiger’s AI-native supply chain platform, managing PostgreSQL, Snowflake, and AI workloads (vector search, embeddings) across AWS environments while ensuring compliance, performance, and cost optimization.
Job Title: Snowflake Data Engineer Location: Hollywood, FL – Hybrid Interview: Video Job Summary We are seeking an experienced Snowflake Data Engineer with 8 years of Data Engineering experience and strong expertise in…
The Data Engineer will design and maintain a centralized Azure-based data lake, building ETL/ELT pipelines to integrate EHR and operational data. The role involves complex data migrations, modeling, and ensuring data integrity and compliance within a healthcare environment.
This role involves designing and optimizing scalable data engineering pipelines using Databricks and PySpark for a banking client. The engineer will focus on processing structured and unstructured data to support AI/ML and RAG initiatives.
Senior engineer builds and maintains Zeta’s scalable data infrastructure (Spark, Scala, Hadoop on EC2) to power AI-driven marketing analytics for enterprise clients.
Builds and maintains real-time data pipelines and analytics for a proprietary trading firm’s options market-making strategies, using Python, SQL, and modern data engineering tools.
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