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.
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.
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.
Lead the design, development, and operation of a modern enterprise data platform, driving cloud-based initiatives and enabling actionable insights across the organization. Manage a team of architects, engineers, and specialists, fostering a culture of innovation, technical excellence, and collaboration. Balance strategic oversight with hands-on involvement in data architecture, platform enablement, and integration across diverse tools and technologies.
Maintain, troubleshoot, and optimize a data ingestion pipeline built with Java and Python. Implement new features and improvements that keep our systems efficient and scalable. Write clean, testable, and well-documented code. Participate in code reviews and share ideas that raise the bar for our engineering practices. Stay curious and up to date with emerging technologies and best practices in data engineering.
The Senior Database Administrator (DBA) ensures that all work performed by the team complies with technical, security, and IT policy guidelines for databases within complex, enterprise-level systems in support of the Department of Homeland Security (DHS). Leads and performs cloud platform database administration for a large-scale, complex, high-performance enterprise Relational Data Service (RDS).
We're looking for a creative Data Scientist to join Experian Automotive and shape the future of data-driven decision-making. You'll design and implement advanced analytics solutions, standardize and automate data processes, and develop statistical, machine learning, and forecasting models that power business intelligence and client insights.
You’ll play a central role in turning complex telemetry, operational data, and customer-facing signals into insights that guide product decisions, robotics performance, and real-world operations. From modeling datasets in SQL to building dashboards and automated alerting systems, your work will ensure teams across engineering, operations, and customer deployments can move faster and make confident, data-driven decisions.
This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated, contributing to challenging and meaningful projects, developing high-quality applications that stand out in the market. Bluelight values continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development.
This role is a high–impact opportunity to design and build our “next generation” data foundation. You will be designing a platform built to ingest and process multiple concurrent data sources, support complex data fusion, and serve as the backbone for both our analytics and data science modeling initiatives. This is a senior, hands-on “player coach” role and the chief designer and technical authority, translating our future growth goals into a tangible, modular architecture.