Biomedical Scientist jobs in United States

Job Title: Data Scientist (Big Data Engineer) – Fraud Analytics Implementation
Job ID: 78943
Location: Onsite | Austin, Texas (Local Candidates Only)

Overview:
A public-sector initiative is seeking a highly skilled Big Data Engineer / Data Scientist to support the implementation of a fraud analytics roadmap for a large healthcare-focused agency. This onsite role in Austin, TX offers the opportunity to design and manage data pipelines that directly power decision-making and fraud prevention strategies. Ideal candidates will bring extensive experience with large-scale data integration, Databricks on Azure, and advanced scripting in Python and SQL.

What you will be doing:

1. Designing and implementing scalable, high-performance data pipelines for analytics and reporting
2. Working hands-on with Python and SQL to support complex data integration efforts
3. Collaborating with cross-functional teams to align data engineering solutions with business goals
4. Leveraging tools like Databricks on Azure to manage large-scale distributed data workflows
5. Ensuring the reliability, maintainability, and efficiency of pipeline architecture
6. Supporting roadmap implementation efforts for a major fraud analytics initiative
7. Working onsite with a team of technical experts and agency stakeholders
8. Contributing to agile delivery processes in a structured, metrics-driven environment

What you must have:

1. 10+ years of experience in building, managing, and optimizing scalable data pipelines
2. Strong proficiency in Python and SQL for data processing and transformation
3. Experience with Databricks (especially in Azure environments) preferred
4. Deep understanding of big data architecture, data quality best practices, and data lake environments
5. Ability to work onsite in Austin, TX and collaborate with diverse technical and business teams
6. Strong problem-solving mindset, adaptability, and attention to detail in a fast-paced setting

This is a high-impact role supporting a critical fraud prevention initiative in the public healthcare space. You’ll work directly with decision-makers and engineers to architect data solutions that have real-world impact. The engagement offers competitive rates and a collaborative team environment with potential for renewal beyond the initial contract.