Design, build, and maintain scalable data pipelines using GCP services like BigQuery, Dataflow, and Cloud Storage.
Develop and optimize ETL/ELT workflows, using SQL and Python with PySpark, Pandas, and NumPy for data processing and analysis.
Mentor junior data engineers, collaborate with data scientists and stakeholders, and implement security and performance best practices.
Deutsche Telekom IT Solutions Slovakia, founded in 2006, provides innovative information and communication technology services. The company is the second-largest employer in eastern Slovakia with over 3900 employees, operating within the Košice IT Valley and fostering a collaborative, proactive culture focused on continuous improvement and transformation.
Develop and maintain data pipelines using PySpark and Databricks within a metadata-driven framework.
Implement data quality checks, validation rules, and support ingestion from file-based sources and tools like Fivetran.
Contribute to data governance practices including tagging and lineage while troubleshooting pipeline performance issues.
Sentara Health is a Virginia and Northeastern North Carolina based not-for-profit integrated healthcare provider offering hundreds of sites of care including 12 hospitals and an 858,000 member health plan. The organization prides itself on a diverse and inclusive close to 30,000-member workforce and has been recognized as an Employer of Choice for over ten years.
Design and maintain scalable data pipelines to support business intelligence and product features.
Perform deep data analysis to identify and resolve a wide range of technical issues.
Mentor newer team members and contribute to the team's technical knowledge base.
Contrast Security redefines how organizations protect their software at the speed of modern development with industry-leading Application Detection and Response. The company thrives with sharp minds and problem-solvers who turn complex challenges into innovative solutions.
Shape technical direction and set architecture standards for batch and streaming data pipelines.
Build and maintain robust, scalable ETL/ELT pipelines optimized for high-ingestion time-series data.
Implement data quality frameworks, observability, and reliability practices specific to energy data domains.
tem is rebuilding global energy transaction infrastructure using AI to make electricity markets transparent, efficient, and fair. The company is a well-funded, high-growth startup with a fully remote team across Europe, focusing on deep product innovation and transforming legacy energy systems.