Remote - Senior Data Engineer - Machine Learning

What is Aspirion?

Aspirion is an industry-leading provider of complex claims management services. We specialize in Motor Vehicle Accidents, Worker’s Compensation, Veterans Administration and Tricare, Complex Denials, Out-of-State Medicaid, and Eligibility and Enrollment Services. Our employees work in an environment that is both challenging and rewarding. Aspirion helps hospitals and other healthcare providers get claims paid correctly by insurance companies, enabling providers to dedicate more resources to patient care and lowering the financial burden on patients. As a tech-enabled services business, Aspirion is investing heavily to embed user-centric design, automation, and machine learning into Compass, our proprietary internal workflow platform supporting the operations of multiple service lines. We ask a lot out of our team members and in return we offer flexibility, autonomy, and endless opportunities for advancement. As we are committed to growth within the complex claims industry, we offer the same growth to our employees.

What do we need?

We are building out our Machine Learning team to accelerate our workflows, support better decision making, and enable out operations teams to focus their time on higher value work. As a Senior Data Engineer - ML, you would be responsible for building our data infrastructure on our Azure data platform to support our Machine Learning team both for specific ML projects and as a generalizable platform to support up as we scale. Additionally, you would work closely with the CPO and Director of Data Science to build out our machine learning function.

Requirements

What will you provide?

• Responsible for collaborating with our Machine Learning engineers to build the right data infrastructure to support ML operations, including data pipelines, data stores, APIs, and appropriate monitoring and alerting on our Azure data platform
• Collaborate with CPO and Director of Data Science on Aspirion’s overall ML and data strategy
• Work with relevant product squads to deliver pipelines and other technical components required for specific product initiatives that include machine learning elements
• Design a data architecture that supports our ML needs including exploratory data analysis, training data management, and model monitoring in production
• Work with Director of Data Science to prioritize opportunities based on value, effort, risk, and alignment with Aspirion’s enterprise strategy and goals
• Establish baselines for key infrastructure operational metrics and align opportunities to metric-driven outcomes
• Team with designers, engineering leads, data scientists, business SMEs, other product managers, and key stakeholders to win as a team
• Contribute to a culture of psychological safety, empathy, and excellence within the ML team and product squads

Professional Competencies

• Data engineering to support ML teams including ETL pipelines, SQL and NoSQL database management, data lake and data warehouse design, job scheduling, monitoring, and alerting
• Data architecture and domain-driven schema design
• Fluent in Python, SQL, Command Line tools, and other relevant data engineering languages and frameworks
• Ability to design data systems that meet relevant SLOs for reliability, performance, and other non-functional requirements as needed based on the project
• Deep familiarity with cloud-based data engineering practices on one of the major cloud providers with a preference for Microsoft Azure and Databricks
• Experience with serverless architectures and containerized environments
• Experience with infrastructure-as-code and modern DevOps and DataOps practices as they relate to data engineering

Education and Experience Qualifications

• 7+ years in a Data Engineering role
• 2+ years in a Data Engineering role supporting a Machine Learning team
• Bachelor’s degree

Benefits

At Aspirion we invest in our employees by offering unlimited opportunities for advancement, a full benefits package, including health, dental, vision and life insurance upon hire. Matching 401k (4%), competitive salaries, and incentive programs also included.

AAP/EEO Statement

Equal Opportunity Employer/Drug-Free Workplace: Aspirion is an Equal Employment Opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, age, sex, pregnancy, religion, national origin, ancestry, medical condition, marital status, gender identity citizenship status, veteran status, disability or veteran status. Aspirion has a Drug-Free Workplace Policy in effect that is strictly adhered to.