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Data Engineer: Hadoop/PySpark on Azure – Flexible Hours
Designs and builds scalable Hadoop/PySpark data pipelines on Azure for semiconductor operations, ensuring high-quality, performant data products.
Data Engineer
Design and maintain large-scale data pipelines on Hadoop and Azure using PySpark, SQL, Airflow, and Kafka to process semiconductor-test data for Bosch’s global production network.
Senior AI Software Engineer – Agentic Frameworks & LLMs
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Sr. Data Engineer
Designs and builds scalable data pipelines and modern data warehouses using Microsoft Fabric, Azure, and Databricks to enable analytics and reporting.
Remote Senior Data Platform Engineer — Real-Time Pipelines
Senior data engineer building scalable real-time and batch pipelines with Spark/PySpark and Python for backend services and APIs.
Senior Analyst, AML Analytics
Design and optimize advanced AML monitoring models in Python/SQL to detect financial crime for a digital SME bank, translating regulatory policies into scalable detection logic.
Cloud & Martech Data Architect
Design and implement cloud-based martech data architectures for data-driven marketing, integrating platforms like Google Marketing Platform, Adobe, and Salesforce.
Experienced – Azure Data Engineer Synapse
Designs and builds end-to-end data pipelines on Azure Synapse and Data Factory, modeling relational/ dimensional data in T-SQL and PySpark to deliver governed analytics platforms for clients in industrial, energy, consumer and public sectors.
Expert Data Engineer E-Mobility
Build and maintain scalable data pipelines for Plenitude’s EV-charging network, using Python, PySpark, AWS, and Databricks to feed analytics and operational tools.
Senior Data Engineer
Design and build scalable data pipelines and distributed architectures for modern data platforms, integrating heterogeneous sources and optimizing data models for analytics.
Data Scientist / Machine Learning Engineer – Python & AWS
Build and maintain ML models and data pipelines in Python and PySpark on AWS SageMaker, focusing on recommendation and churn prediction systems for real business impact.
Senior Data & Analytics Engineer — Real‑Time Healthcare Platform
Design and build scalable data pipelines and analytics models for a healthcare platform using Databricks, PySpark, SQL, and Azure to enable real-time and batch processing.
Data Engineering Team Lead | Hybrid, Career Growth
Lead a team of data engineers to design and maintain cloud-based data pipelines for life-sciences and healthcare use cases using Azure, AWS, GCP, Databricks, PySpark, and SQL.
Data Engineering Team Lead | Life Sciences Platform
Lead a data engineering team building cloud-based data architectures for life-sciences and healthcare analytics using Databricks, PySpark, Python, and SQL.
Real-Time Healthcare Analytics Data Platform Engineer
Builds a healthcare analytics platform that processes real-time and batch data into dashboards and insights using Databricks, PySpark, SQL, and Azure.
Remote-friendly Data Platform Engineer - Lakehouse & PySpark
Build and maintain a Lakehouse platform using PySpark and Databricks, designing Delta Lake schemas and batch/near-real-time pipelines for reliable, scalable data solutions.
Remote Data Platform Engineer: PySpark & Delta Lake
Build and maintain a PySpark and Delta Lake-based data lakehouse on Databricks, creating batch and near-real-time pipelines to power analytics and data sharing for internal products.
Senior Data & Analytics Engineer – Microsoft Fabric & Azure
Designs and builds cloud data pipelines and architectures using Microsoft Fabric and Azure, leveraging SQL, Python/PySpark, and Git for ETL/ELT workflows.
Data Platform Engineer: Lakehouse & Real-time Pipelines
Builds and maintains data ingestion pipelines, lakehouse environments, and real-time streaming systems using SQL, PySpark, Kafka/Kinesis, and Go.
Remote Data Platform Engineer — PySpark & Databricks
Builds and maintains PySpark pipelines on Databricks to power reliable data products and enrichment workflows for a SaaS analytics platform.