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Senior Data Engineer builds and maintains pipelines that ingest clinical and operational data, models it into governed metrics, and delivers trusted analytics for healthcare AI platform.
Design and optimize PostgreSQL databases and cloud-native data pipelines for a U.S. accounting/payroll SaaS, ensuring high availability and performance while mentoring junior engineers.
Build and maintain scalable data pipelines using Snowflake, Dagster, dbt, Python, PySpark and SQL to deliver reliable analytics and business data access.
Builds and maintains data pipelines and infrastructure for RAK Bank, ensuring reliable data flow and analytics for financial services.
Senior Data Engineer builds cloud-native pipelines in Python to ingest, process, and serve real-time and historical time-series data for energy-efficient heating/cooling solutions using Kafka, Airflow, SQL, and cloud platforms.
Own the end-to-end data stack: model, ingest, transform, and serve analytics for a fintech platform serving private markets, using dbt, dlt, BigQuery, and Lightdash.
Build and own scalable data pipelines and warehouses for an AI-powered chronic-care platform, using SQL, Python, dbt, and cloud tools to deliver reliable data products across Europe.
Design and scale the data architecture for a precision-cardiology platform, integrating clinical, device, and real-world data into interoperable, compliant pipelines for analytics, AI, and clinical research.
Senior Data Engineer builds and maintains AI-ready data pipelines and platforms for a global real-estate operator, enabling analytics and LLM integrations across property, financial, and IoT data sources.
Build and maintain scalable data pipelines, cloud data warehouses, and real-time processing systems using Python, SQL, and cloud platforms to power analytics and business decisions.
Builds and deploys AI-powered applications by integrating LLMs, developing full-stack features (React/Next.js frontends, FastAPI/Flask backends), and optimizing RAG pipelines with vector databases for scalable, production-ready solutions.
Build and deploy production-ready AI-powered apps using LLMs, full-stack dev, and cloud infrastructure; optimize performance, reliability, and security.
Build and deploy ML models for Slack’s conversational AI, ranking, and generative features, using Python, PyTorch, and Spark to drive product impact at scale.
Build and maintain Cityblock’s data pipelines, semantic layer, and reverse-ETL systems on BigQuery and Dagster to power trustworthy analytics and AI-driven care decisions for Medicaid beneficiaries.
Build scalable data pipelines and AI-facing integrations to power an enterprise data platform and Agentic AI systems using Python, SQL, cloud platforms, and vector databases.
Why YOU want this position At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world. We are the most trusted energy-dedicated SaaS…
Build and scale the data infrastructure that powers large-scale AI workloads, including LLM training, fine-tuning, and retrieval-augmented generation systems.
Build production-grade AI systems and data pipelines end-to-end, from schema design and ETL to FastAPI services and Next.js frontends, using AI coding agents as a daily accelerator.
Senior analytics engineer at a nonprofit using tech and data to strengthen Brazil’s primary healthcare system, modeling sensitive health records into actionable indicators for municipal managers.
Build and maintain ETL pipelines, Azure data assets, and Power BI semantic models to power analytics and decision-making for a rail and structural division.
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