ML Data Engineer

About Us:
Join a dynamic and innovative team dedicated to excellence in healthcare reimbursement. At Titan, we are committed to ensuring accurate and timely payments, fostering a collaborative environment where your skills will directly impact our mission of identifying underpayment patterns to maximize revenue recovery for our clients.

Job Summary
Under the general direction of the Head of Technology, the ML Data Engineer is responsible for implementation, configuration, maintenance, and performance of business-critical data infrastructure to deliver data enablement at scale, and power our internal applications and machine learning operations This role will work with enterprise and client leaders to translate business and functional requirements into technical specifications and solutions within the data architecture strategy

Essential Job Duties/Responsibilities

• Implement efficient and scalable pipelines integrating data from multiple sources to common data models
• Convert raw data into usable information for client and enterprise organizations
• Within an Agile team design, develop, test, implement, and support technical solutions that support full-stack development tools and technologies
• Support machine learning, data enrichment, research, and data analysis as well as making data operationally able to be consumed by products and services
• Collaborate with product managers, software engineers, security & compliance, and data scientists to enable them with robust data delivery solutions that drive powerful experiences
• Identify and debug issues with code and suggest changes and/or improvements
• Perform unit tests and conduct reviews with the team to ensure code is rigorously designed, elegantly coded, and effectively tuned for performance
• Utilize available technologies to collect and map data to find cost savings and optimization opportunities
• Support and drive a proactive culture of developing data driven solutions for operations and clients
• Bring an agile and engineering mindset to address complex problems, identify opportunities and craft creative solutions
• Leverage best practice coding and engineering standards to support growth and flexibility
• Coordinate with teams across the organization to address incident, change and release management needs/requirements
• Provide input to risk management; report risks as they are identified and participate in prioritization/follow up
• Stay current with emerging technologies and advancements within existing technologies
• Positively and deliberately engage with colleagues – external and internal – to foster collaborative and productive relationships
• Cultivate great teams and lead in alignment with Titan values
• Comply with and hold with utmost regard all compliance requirements to protect patient privacy and confidentiality and organizational data
• Stay curious, kind and contribute positively to the Titan culture

Minimum Qualifications

• Bachelor’s Degree in Computer Science, Mathematics or related field is preferred but not required
• Knowledge of healthcare related data structures and frameworks (FHIR, HL7, ICD-10, CPT)
• Experience with Agile methodologies
• Experience working in HIPAA, HITRUST or other advanced compliance environments
• Experience leading the lifecycle management and integrations of enterprise data
• Ability to clearly articulate technology concepts to business leaders and engineers
• Strong analytical, problem-solving, and critical thinking skills with excellent attention to detail
• Direct experience with Azure SQL
• Experience with Azure Data Factory preferred
• Prior experience in the facilitating conversations to translate business requirements into the technical requirements needed to develop solutions
• Excellent oral and written communication skills
• Comprehensive knowledge of Microsoft Office applications