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Senior Data Engineer
Design and maintain scalable data pipelines and infrastructure to process complex chemical data (chromatograms) for ML model training and deployment in a healthcare/climatetech context.
Data Engineer
Build and maintain scalable data pipelines using Snowflake, AWS, Airflow, and dbt to turn raw data into insights and AI-powered improvements for analytics.
Senior Backend Software Engineer – Data Platform
Build and operate Kaseya’s scalable data platform, designing real-time pipelines and event-driven systems to power analytics, AI, and automation across millions of endpoints.
Data Engineer
A Data Engineer at Quantori builds data pipelines for a Life Science project, using Azure cloud, Databricks, Spark, and other tools to process structured and unstructured data for predictive modeling.
Technical Project Manager
A Technical Project Manager overseeing PLM AI/ML initiatives from scoping to deployment within ENOVIA PLM environment, working with data scientists, engineers, and stakeholders. Core technologies include ENOVIA PLM, AI/ML, and cloud platforms (AWS, Azure, GCP).
Databricks Architect – Informatica, Spark & PySpark
Design and implement scalable data platforms using Databricks Lakehouse, Delta Lake, Spark, and PySpark. Lead ETL modernization from Informatica PowerCenter/IICS/IDMC, define data governance/security, and collaborate on enterprise data solutions.
Data Architect
Data Architect (Mid-Level) designing scalable data architectures, building ETL/ELT pipelines, and maintaining cloud data platforms for the Modern Disability Claims program. Core technologies include Python, SQL, Pandas, PySpark, NumPy, Git, Databricks, Redshift, BigQuery, and Hive.
Finance Systems Manager
Administers and optimizes NetSuite ERP and financial systems for a fast-growing energy startup, integrating finance tools with enterprise systems and ensuring audit readiness.
Data Engineer
Build and maintain cloud-based data pipelines in Azure and Microsoft Fabric to ingest, transform, and deliver marketing data for B2B analytics and client solutions.
Data Engineer
Build and maintain cloud-based data pipelines and ETL workflows in Azure and Microsoft Fabric to ingest, transform, and deliver marketing data for B2B analytics and client reporting.
Data Engineer
Designs and builds scalable data pipelines on AWS to extract insights for a government client, using Python, PySpark, and cloud-native tools while maintaining strict security compliance.
Data Engineer (GovCon | Public Trust Eligibility)
Design and maintain scalable data pipelines and ETL workflows using Python, PySpark, Databricks, and AWS services to build secure, compliant data platforms for federal clients.
Senior Engineer - FullStack (Java/React) & Databricks
Build production-grade full-stack applications using Java Spring Boot and React, work with Databricks on data pipelines, and collaborate in a hybrid night-shift team.
Data Engineering Manager
Lead the delivery of complex data engineering solutions, design data platforms/pipelines, and mentor teams using Spark, SQL, and cloud technologies.
Junior Data Engineer – Databricks & Azure (Energy Trading)
Builds and maintains cloud-based data pipelines using Databricks/Azure to modernize legacy systems for an energy trading firm, using Python, SQL, and streaming/batch processing.
Contract Databricks Data Engineer Role - Remote - GBP400/pd
Build and maintain Databricks-based data pipelines for a fintech firm, ensuring reliable data for analytics and decision science teams.
Senior Data Engineer — Production ML & Data Platform
A Senior Data Engineer designs and maintains data pipelines, collaborates with Data Science and Product teams, and deploys production ML systems on an AWS-native stack to support analytics and forecasting.