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Staff Engineer - Open Source Data Platform (ODP)
Staff Engineer architecting and leading development of the Acceldata Open Data Platform, a petabyte-scale distributed data infrastructure system. Core tech: Java/Scala, big data stack (Hadoop, Spark, Kafka, etc.), Kubernetes, and multi-cloud environments.
Copy of Machine Learning/AI Tech Lead
Lead a team of ML/AI engineers, owning the ML/AI product vision and translating local models into enterprise-grade products on PureFacts' SaaS platform using Python, ML frameworks, MLOps, and Azure cloud infrastructure.
Data Engineer - GCP
Design and build scalable GCP data pipelines using PySpark, BigQuery, Kafka, and Airflow to process batch and real-time data for analytics and BI.
Product Marketing Manager (Remote US East Coast)
Spacelift is the infrastructure orchestration platform built for the modern software era, managing the full lifecycle for both traditional IaC and AI-accelerated infrastructure. It integrates with Terraform, OpenTofu,…
Working Student Data Analytics/Engineering eMobility (f/m/d)
A working student builds and maintains data pipelines, transformations, and dashboards (Databricks/Spark, Python, SQL, Power BI) to support eMobility business use cases, including API integrations and billing workflows.
Backend Engineer-Founding Member
Build and maintain Matchii’s backend services, APIs, and data pipelines in Go, PostgreSQL, and Redis while integrating agent orchestration and observability tools.
Azure Data Architect – Cloud Data & Insights Leader
Designs and builds cloud-native data systems on Azure/Databricks to transform raw data into business insights, ensuring security, scalability, and reliability.
Azure Data Architect: Cloud-Native Data Leader
Designs cloud-native data architectures on Azure to enable analytics and ML, focusing on scalable data lakes and ETL/ELT pipelines with a focus on continuous improvement (Kaizen).
AWS Data Architect: Build Scalable Data Lakes & Pipelines
Designs and builds scalable AWS data lakes and ingestion pipelines, bridging data science and engineering needs.
Senior Big Data Architect & Analytics Engineer
Designs and implements big-data pipelines and analytics solutions using Spark, Kafka, and cloud platforms in a product-focused team.
Big Data & Analytics Engineer
Designs and implements scalable Big Data solutions using Spark, Kafka, SQL, and REST APIs, collaborating with international teams and clients on complex projects.
Big Data Architect & Engineer for Cloud Analytics
Designs and builds cloud-based big data pipelines and analytics applications using Spark, Kafka, and NoSQL databases.
Big Data Architect & Engineer - Cloud, Spark, Kafka
Designs and builds big-data pipelines and architectures using Spark, Kafka, and cloud platforms, collaborating with teams to deliver scalable data solutions.
Senior Big Data Engineer: Spark, Kafka & Cloud
Designs and implements large-scale data solutions using Spark, Kafka, and cloud platforms to manage, analyze, and visualize data for business intelligence projects.
Azure Data Engineer: Bridge Data Science and Engineering
Designs and builds Azure-based data pipelines to ingest, clean, and load data for analytics and ML, collaborating with data scientists and architects.