Remote Data Jobs • Python

As the Senior Data Engineer, you will architect, develop, and optimize data pipelines and infrastructure to support enterprise data initiatives. This role involves collaborating with data scientists, analysts, software engineers, and business stakeholders to design scalable, secure, and high-performance data solutions. You will ensure the availability, integrity, and quality of data is critical to business operations and decision-making.

This role builds and maintains data pipelines and analytics frameworks that power marketing intelligence and growth initiatives. The Analytics Engineer will collaborate with marketing, product, and data science teams. The ideal candidate combines technical skills with marketing domain knowledge to translate business requirements into scalable data solutions.

Be part of a team that is supporting the Centers for Medicare and Medicaid Services (CMS) by disseminating data to researchers. Design, implement, and support the Databricks platform. Build and maintain Extract, Transform, Load (ETL) processes for data integration and transformation. Monitor data pipelines and implement solutions. Implement techniques to transform data for data analysis and machine learning.

We're seeking a data-driven GTM Automation Engineer to design, build, and maintain sophisticated automation workflows that optimize our entire go-to-market operation from initial prospect through long-term customer success. You'll combine your data engineering background with AI prompting expertise to create intelligent systems that streamline sales, marketing, and customer success operations. This role is perfect for someone passionate about leveraging modern automation platforms and AI to transform how businesses scale their revenue operations.

Design & implement machine learning models in production. Create infrastructure for data ingestion, cleaning, and transformation. Ensure scalability, reliability, and performance of deployed models & infrastructure. Work closely with cross-functional teams to integrate machine learning solutions into products and services. Document model development processes, experiments, and results for future reference and reproducibility.