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Required Qualifications: Experience : 15 years in IT infrastructure, software engineering, or cloud architecture, with 5 focused specifically on advanced AI/ML and GenAI solutions. Core Technical Stack : Deep hands-on…
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.
Owns the technical strategy for Beamery’s data platform, defining architecture and standards, using technologies like BigQuery, dbt, Kafka, and Python.
Senior Data Engineer builds and optimizes scalable GCP-based data pipelines and models to power real-time AI/ML workloads for a global sports media and betting platform.
Build and automate GCP data pipelines and infrastructure for Morrisons, using Terraform, Python, and Jenkins to deliver reliable, secure data to Looker and AI tools.
Designs and maintains data infrastructure for federal government clients, building scalable pipelines and integrating ML models using Python, AWS, and tools like Apache Airflow and Spark.
Python Developer role at a manufacturing company in Birmingham, working on internal applications, APIs, integrations, and data pipelines using Python, React, TypeScript, SQL, FastAPI, BigQuery, MongoDB, and GCP.
Senior Python Developer working on-site in Birmingham to develop, support and enhance business-critical applications, data platforms, integrations and automation solutions using Python, React, TypeScript, SQL, FastAPI, BigQuery, MongoDB and GCP.
Senior AI Data Engineer building ETL pipelines, data warehouses, and AI/ML infrastructure using Python, SQL, Spark, cloud platforms (AWS/Azure/GCP), and Generative AI technologies like LLMs, RAG, and vector databases.
About Equals 5 Equals 5 is a marketing data platform for pharma. Our clients are pharmaceutical brands and the people we reach are verified healthcare professionals. The core product is a Laravel + Vue.js application…
Build data models and ETL/ELT pipelines for an HRTech platform using AWS, Python, and SQL to support HR, Payroll, and Finance products.
Lead data engineering at a top fintech platform, building scalable ETL pipelines and AI-powered solutions to deliver trusted financial data to millions of users.
Designs, builds, and maintains scalable data pipelines and integrations for US federal government clients using cloud technologies like Databricks, Spark, AWS, and Snowflake.
Technical Lead for Data Engineering role building a Snowflake-on-AWS data pipeline for HR analytics at a university, involving architecture design, ETL/ELT development, mentoring engineers, and establishing data governance standards.
Senior Data Engineer building greenfield ML data infrastructure—lakehouse architecture, training pipelines, feature stores, and pipeline observability—on GCP using Python, Spark, Kafka, and Airflow for a healthtech SaaS platform.
Designs and prototypes Google Cloud-based AI and data solutions for enterprise clients, scoping technical Statements of Work and guiding sales-to-delivery handoffs.
Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful…
Designs and leads enterprise migrations from Microsoft 365 to Google Workspace, builds AI-driven automation with Google Apps Script, AppSheet, and Vertex AI, and advises clients on digital-workplace strategy.
Designs, automates, and secures Google Cloud Platform infrastructure for enterprise clients, using Terraform, Kubernetes, and CI/CD pipelines to optimize performance and compliance.
Oversees data validation and quality assurance for Sigma/Databricks client implementations, ensuring accurate migrations and deployments. Bridges technical teams and clients to resolve discrepancies, build validation templates, and maintain audit trails for real estate/financial analytics platforms.
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