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Data Engineer
Build and maintain scalable data pipelines and warehousing for a travel-management platform, integrating sources like PostgreSQL, Redshift, and APIs to power analytics and dashboards.
Senior Data Engineer, Value Based Care Company
Build full-stack data applications for healthcare analytics, including dashboards, scorecards, and AI-powered insights, using Python, Django, Vue, and Snowflake.
Technical Lead - Cloud Data Engineering - Snowflake / DBT
Lead a team building Snowflake- and DBT-based data products for healthcare R&D, setting standards, optimizing pipelines, and coaching engineers while ensuring compliance and scalability.
Data Engineering Manager
Lead the design and build of a modern data platform from scratch, including Snowflake, dbt, and BI pipelines, to turn raw data into business insights for marketing, sales, finance, and academic teams.
DATA ENGINEERING
Build and maintain scalable, secure data pipelines and cloud infrastructure (AWS, Snowflake) to feed analytics and AI models for a data-driven utility company.
DATA ENGINEERING
Design, build, and maintain scalable cloud and on-prem data pipelines, warehouses, and lakes to feed Estebanell’s data-driven projects, using AWS, SQL, Python, and ETL tools.
Data Engineer / BI Developer H/M/X – Remoto
Build and maintain data pipelines, transform raw data into reporting models, and create Power BI dashboards for business insights using Snowflake and dbt.
Senior Data Engineer (AWS)
Build and maintain cloud-based data platforms on AWS, designing batch and real-time pipelines with PySpark, Python, and SQL to support analytics and ML workloads.
Data Engineer (Snowflake/Azure) - Remote - valència
Design and build scalable cloud data pipelines on Snowflake and Azure, using dbt, Airflow, Python, Docker and Kubernetes to power enterprise analytics and decision-making.
Sr Data Engineer - Asevia
Senior Data Engineer builds and maintains data pipelines, APIs, and internal tools in Python and TypeScript, using Dagster, SQL, and cloud infra to turn raw data into products for Asevia’s AI-driven advisory platform.
Data Engineer - comunidad valenciana
Build and maintain scalable data pipelines, ETL/ELT processes, and AI-driven integrations using Python, SQL, Airflow, and Snowflake to support business analytics and automation.
Senior Data Platform Engineer | AWS, Spark & DevOps - vigo
Build and maintain next-gen data platforms on AWS using Spark, Python, and DevOps practices to design scalable pipelines, optimize analytics, and automate deployments.
Senior Data Platform Engineer | AWS, Spark & DevOps
Build and maintain next-gen data platforms on AWS using Spark, Airflow, and DevOps practices to design scalable pipelines, optimize analytics, and automate deployments.
Senior Data Engineer (Remote)
Build and migrate Buildertrend’s data platform to a modern Databricks lakehouse, designing ELT pipelines and ensuring reliable, AI-ready datasets for analytics and decision-making.
Assistant Vice President, Technology (Data Engineer)
Build and maintain data pipelines and warehouses for Temasek’s investment teams, enabling efficient data ingestion, transformation, and analytics to drive investment insights and decision-making.
Assistant Manager - Data Engineer (ITDG - DMD)
Oversee TRUST’s data strategy, model healthcare data, and implement cloud-based ETL pipelines for analytics, ensuring scalable, secure data provisioning and quality standards.
AVP/VP, Data Platform Engineer - SRE, Technology Group
Lead reliability and automation for GIC’s enterprise data platforms, applying SRE best practices to ensure high availability and performance while collaborating with cross-functional teams.
Cloud Data Engineer
Designs and builds cloud data pipelines, warehouses, and analytics platforms using AWS, Databricks, and Informatica for healthcare clients.
Intern, Data Engineering
Builds and maintains data pipelines, orchestrates workflows, and models data for a sustainability-focused conglomerate using Python, SQL, and modern data tools.
Data Engineer - QuantumBlack
Builds and maintains scalable data pipelines, GenAI applications, and advanced analytics platforms for McKinsey’s QuantumBlack AI division, collaborating with clients and cross-functional teams to solve high-impact business problems using Python, PySpark, Kubernetes, and cloud technologies.