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Build and optimize clinical data pipelines using SQL, Databricks, PySpark, and AWS/Redshift to support clinical research and medical device studies at a diabetes-focused medical device company.
The Data Engineer will design robust data pipelines and lead SAP data migrations while collaborating with cross-functional teams to build scalable data solutions. The role focuses on maintaining ETL processes, ensuring data quality, and contributing to deployment automation.
This Senior Data Engineer role involves designing and managing large-scale data platforms, ETL pipelines, and governance frameworks for a leading AI and quantum software company. The position requires expertise in Python, SQL, cloud data platforms, and distributed processing frameworks like Spark to support AI and machine learning initiatives.
Build and maintain specification-driven web data extraction pipelines using Python, Scrapy, Playwright, and LLM-augmented approaches (LangChain, autonomous agents, MCP servers) to create a self-healing, component-based extraction platform.
The Data Engineer will design robust data pipelines and lead SAP migration initiatives while collaborating with cross-functional teams to deliver scalable data solutions on Azure or AWS.
SIEM & Security Data Engineer at a consulting firm, integrating log sources into SIEM platforms (Splunk, Elastic), designing parsers, normalizing security data, and automating processes across IT, Cloud, and OT environments on an international project.
Senior Data Engineer at Ookla building high-volume data processing jobs using Spark, Redshift, Athena, Iceberg, and Airflow to support data scientists and analysts working with global internet performance data.
The AI & Data Engineer will design and implement AI/ML solutions, including Generative AI projects, while managing data pipelines and ETL processes using Python within Azure or AWS cloud environments.
T-Maxx International is seeking a Data Engineer to design and maintain scalable data pipelines and ETL/ELT processes. The role involves optimizing SQL queries and managing data warehouses to support reporting and analytics.
The Senior Data Engineer will design and optimize scalable data pipelines to support analytics, machine learning, and reporting within a cloud environment. The role focuses on building production-grade data solutions using Spark-based technologies.
Build and maintain FinOps data pipelines and dashboards using DataBricks, Python, and cloud tooling at NN Digital Hub in Madrid, monitoring data quality and coaching business users in a hybrid, international setting.
Design and optimize scalable data pipelines integrating diverse data sources for clinical research and real-world evidence, collaborating with Clinical Research, Biostatistics, R&D, and Software Engineering using SQL, Databricks, PySpark, and AWS Redshift.
Keepler Data Tech is seeking a Data Engineer to work on-site in Arbo, Spain, focusing on data modeling, orchestration, and governance. The role involves managing the full data stack with a specific emphasis on Palantir Foundry.
Senior Data Platform Engineer building and evolving modern data platforms on AWS, designing robust pipelines, optimizing analytical architectures, and automating environments via DevOps and Infrastructure as Code practices.
Lead data engineering and platform solutions, building and maintaining pipelines and workflows with Databricks, Airflow/Astronomer, Python, SQL, dbt on AWS, while driving data governance, CI/CD automation, and observability.
Senior Data Lead to architect and develop a corporate data platform using Databricks, Airflow, Python, SQL, and AWS in a hybrid setup (CDMX/GDL), managing CI/CD pipelines.
Data/Information Management Intern Analyst supporting data activities, data quality, and data governance initiatives on a global banking platform.
The Data Engineer will design and maintain scalable data platforms within Google Cloud, focusing on optimizing ETL/ELT processes for advanced analytics. This is a hybrid role requiring 3 days of on-site work per week.
The Data Engineer Lead will design data architecture, develop pipelines, and ensure system monitoring using Databricks, Airflow, and AWS. The role involves leading data engineering initiatives and implementing data governance in a hybrid work environment.
The Data Engineer will maintain and secure legacy systems like Teradata, Exadata, and SAS while driving their migration to modern platforms using AI. The role focuses on ensuring operational continuity and stability for the bank's existing data infrastructure.
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