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Build and maintain Manychat’s data platform, designing scalable pipelines and infrastructure to power analytics and AI across social/messaging apps.
Design and maintain Snowflake-based data pipelines and warehouses that feed credit risk models, analytics, and reporting for a global distributor’s credit function.
Build and maintain scalable data pipelines and production-grade ML systems for clinical trials, pharmacovigilance, and drug manufacturing at a global pharma company.
Senior Data Engineer builds scalable data pipelines, ETL/ELT processes, and cloud-based analytics platforms using Python, Spark, AWS, and modern data stacks to power AI-driven solutions.
Build and maintain ETL pipelines, optimize MongoDB schemas, and create Metabase dashboards to power AI-driven travel rental analytics and reporting.
Designs and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data platforms to support analytics and AI in high-security sectors like defense.
Senior Data Engineer to design and build a greenfield data infrastructure for AI-driven growth, including pipelines, warehousing, and analytics for product, CRM, finance, and marketing teams.
Build and own haddock’s data infrastructure from scratch, designing pipelines and models that power AI agents and analytics for restaurant back-office software.
Build and maintain scalable cloud infrastructure on GCP and AWS, automate CI/CD pipelines with Terraform, and ensure reliability and security for a logistics SaaS platform.
Backend Python developer building AI-driven data pipelines and APIs for renewable-energy operations, using FastAPI, Airflow, and SQLAlchemy.
Build and maintain modern data platforms (lakehouse, data warehouse) and ETL/ELT pipelines in cloud and on-prem, integrating structured and unstructured sources to enable analytics and AI solutions.
Design and build a cloud-based data lakehouse that ingests engineering and security tool data, transforms it through medallion layers, and serves analytics dashboards and AI agents.
Build and scale data pipelines in AWS/Databricks to power personalized marketing and AI-driven customer segmentation for a global meal-kit and food retailer.
Design and build scalable cloud-native AI data platforms and pipelines using Python, Spark, and Kafka to power machine learning and GenAI initiatives for enterprise clients.
Builds GitHub Copilot Custom Agents and the data/context systems (MCP servers, RAG pipelines, SQL/graph DBs) that let Copilot understand codebases, SDLC rules, and compliance requirements inside VS Code.
Senior Data Engineer builds and maintains Snowflake-based ETL/ELT pipelines, data models, and REST APIs to consolidate finance data for forecasting and reporting in a regulated biotech environment.
Build and maintain Mettler Toledo’s data platform, creating scalable pipelines and ensuring high-quality data flows for analytics and AI/ML using Databricks, Snowflake, and Python.
Designs and maintains scalable data pipelines and a central data platform using Databricks, Snowflake, and Python to power analytics and AI/ML across the organization.
Build and maintain PySpark-based data pipelines that process large datasets in distributed environments, ensuring data quality and performance for downstream systems.
Design and build scalable AWS-based data pipelines and cloud-native architectures to process large datasets, using services like Glue, Redshift, Lambda, and Spark.
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