Remote Data Jobs · Python

Join the global leader in cloud contact center technology, where innovation meets real-world impact. As a Middle AI Engineer / Data Scientist, you'll develop customer-facing AI solutions, customize product features, and create reusable templates. Gain hands-on experience with NLP, machine learning, and AI systems, working closely with experienced engineers, conversation designers, and consultants. This is a unique opportunity to join a team from the ground up and grow your technical and client-facing skills.

Seeking a skilled Data Engineer to support a government contract delivering high-quality data solutions. The ideal candidate will have experience designing, building, and maintaining scalable data pipelines, transforming raw data into actionable insights, and ensuring data quality and compliance with government standards.

As Data Engineer, you'll help build the next generation of cloud-based data tools and reporting for Experian's MCE contact center division. Valuable, accurate, information is important to our success, and this impactful role will be an essential part of that. Delivery pace and meeting our commitments are a primary focus to ensure that we are providing information at the speed of business.

Architect the core data infrastructure that supports every part of the business—from clinical operations to member experience to AI-powered insights. Build data pipelines, warehouse/lakehouse environment, workflow orchestration, and foundational data models. As the organization’s first dedicated data engineering hire, operate with a high degree of autonomy, influence technical direction, and enable advanced downstream use cases including analytics, BI, and machine learning.

An experienced Data Engineer is needed to design, develop, and manage a global music data platform and ecosystem. This role will be responsible for advanced development of our enterprise data platform, orchestrating the full lifecycle of our production data, including ingress, egress, storage, federation, lineage, insights, and analytics across multiple sources and targets. The position offers the ideal candidate an opportunity to be a thought leader and influencer within and across the department, company, and market.

The Business Intelligence Developer brings together theory and practice to identify and communicate data-driven insights that allow managers, stakeholders, and other executives in the organization to make informed decisions. The Business Intelligence Developer will have an intermediate understanding of the company’s databases, business intelligence (BI) tools, and existing reports and act as a resource in internal and external meetings.

An exciting opportunity to design, develop, and lead advanced data engineering solutions in a fully remote environment, working with large, heterogeneous datasets to build and optimize data pipelines, data lakes, and data warehouses that drive business insights. Collaborating closely with cross-functional teams and stakeholders to ensure high-quality deliverables, create impactful reports and dashboards, and implement scalable solutions.

We are looking for an experienced Machine Learning Engineer to join our team to develop and deploy machine learning models for anomaly detection, processing both structured data and unstructured marketing content to identify suspicious behavior patterns and anomalous activities. As a member of this project, you will help ensure the delivery of healthcare to millions of Americans by monitoring and preventing fraud, waste, and abuse.

Architect, build, and optimize high-performance cloud-based data solutions on Google Cloud Platform (GCP). Play a critical role in transforming complex business requirements into scalable and secure architectures that support data-driven decision-making. Working closely with cross-functional teams, design robust ETL/ELT pipelines, optimize BigQuery warehouses, and ensure strong data governance and security standards. This position emphasizes technical leadership, mentorship, and collaboration.

This role leads the data engineering practice, overseeing data engineering, analytics, machine learning, and data science initiatives across complex, large-scale projects. You will set technical direction, define standards, and ensure delivery excellence while actively mentoring and managing a team of engineers. Working closely with cross-functional stakeholders, you will drive architecture decisions, implement scalable data solutions, and apply your expertise to optimize client outcomes.