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Dicetek LLC is hiring a Senior Enterprise Data Engineer to architect and maintain data pipelines, warehouses, and API integrations across hybrid cloud and on-premise environments. The role focuses on full-stack data engineering to support enterprise analytics and reporting.
The Senior Data Engineer will design and maintain scalable data pipelines and models using Spark, Kafka, Delta Lake, and Hadoop. The role involves building real-time data flows on Azure and managing data lake governance.
The Data Platform Engineer will design and build scalable data systems to support AI, BI, and analytics. The role involves replacing custom scripts with reproducible pipelines and managing core platforms including Snowflake, dbt, and Dagster.
The Data Platform Lead will guide the development of scalable data pipelines and enterprise-grade data solutions while mentoring a team. The role focuses on data modeling, ETL/ELT processes, and maintaining high standards for data quality and lineage using SQL and PySpark.
The Senior Manager of Data Engineering will lead a team to design and maintain scalable ETL/ELT pipelines and data warehouse models. The role focuses on technical strategy, data governance, and cross-functional collaboration using Python, SQL, and cloud-based data platforms.
The Senior Analytics Engineer will build and optimize data pipelines using dbt, Airflow, and ELT practices while developing Power BI dashboards. The role requires extensive experience in data modeling and Snowflake to support analytics and reporting.
The Analytics Engineer will build and maintain data pipelines using dbt, Python, and Airflow while developing Power BI dashboards and data models. The role requires extensive experience in SQL, cloud data warehousing, and dimensional modeling to support business reporting and data quality.
Junior Data Engineer operating and supporting GCP-based data pipelines, monitoring Cloud Composer/Airflow orchestrations, and resolving production incidents to ensure data reliability.
The Data Platform Engineer will design and build production-grade data pipelines and systems to support analytics and AI initiatives. The role involves managing core platforms like Snowflake, dbt, and Dagster while driving data reliability and self-service tooling for the organization.
The Junior Data Engineer will build and maintain data pipelines on Google Cloud Platform, using Cloud Composer (Airflow) to monitor data flows and ensure platform reliability. The role involves collaborating with cross-functional teams to support analytics and data science initiatives.
The Data Engineer will develop and maintain secure ETL/ELT pipelines to prepare and structure data for AI and RAG workflows. The role emphasizes data quality, governance, and compliant access controls.
The Lead Data Engineer will manage healthcare payer data pipelines, including ingesting and standardizing claims data and maintaining Snowflake infrastructure. The role requires extensive experience with Python, Dagster, and SQL to collaborate with finance and account management teams.
The Senior Data Engineer will design and maintain scalable data pipelines, ETL/ELT processes, and lakehouse architectures on Azure to support healthcare analytics. The role requires expertise in Python, SQL, and big data technologies like Spark and Kafka to ensure high-performance data processing and compliance.
Designs, maintains, and optimizes data pipelines for healthcare claims/membership data in Snowflake, ensuring data quality and timeliness while mentoring engineers and collaborating with cross-functional teams.
The Senior Platform Data Engineer will manage clinical data pipelines and RAG infrastructure using Databricks and vector databases to support AI model training. The role focuses on streaming healthcare data, maintaining feature stores, and ensuring robust data governance within a clinical environment.
The Platform Data Engineer will stream clinical data into Databricks to curate feature tables for AI training and manage RAG infrastructure, including vector databases and retrieval pipelines.
The Data Engineer will build and maintain secure ETL/ELT pipelines to prepare data for AI solutions, focusing on data quality, integration, and governance. The role requires 3-5 years of experience with SQL, Python, and enterprise system integrations.
The Senior Full Stack Engineer will build and maintain complex web applications, focusing on SPA and back-office systems. The role involves end-to-end development, cross-functional collaboration, and technical documentation.
Build and maintain scalable web apps using React, Node.js, and cloud services; collaborate on full-stack development and DevOps practices.
HUMAN-AI-Z Nexus Technology is hiring a remote Full-Stack Engineer to develop scalable web applications using React and Node.js. The role requires collaboration with cross-functional teams and proficiency in API design and cloud platforms.
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