Machinify

Analytics Engineer

Palo Alto, California, United States

Machinify Logo
$180,000 – $200,000Compensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, AI & Machine LearningIndustries

Requirements

Candidates should have at least 3 years of experience in analytics engineering, data engineering, or data analysis with a strong focus on building data pipelines and deriving insights. Advanced SQL skills for complex queries and performance optimization on large datasets are required. Experience with ELT/ETL and orchestration tools like Airflow is necessary, along with a solid foundation in data modeling principles. Candidates should possess strong problem-solving skills, attention to detail, and the ability to communicate complex technical information effectively. Bonus skills include experience with Python, AWS, and SparkSQL, as well as familiarity with medical healthcare claims data models.

Responsibilities

As an Analytics Engineer, you will dive deep into data to reveal insights on product performance, customer behavior, claims patterns, and key financial metrics. You will develop and refine data models, transformations, and visualizations that support decision-making across teams. Additionally, you will design, build, and maintain scalable data pipelines using Airflow to ensure seamless data flow. Collaboration with product managers, data scientists, subject matter experts, and functional leads will be essential to understand data needs and deliver actionable insights.

Skills

SQL
Airflow
Data Modeling
Data Analysis
Data Pipeline Development

Machinify

AI-driven solutions for healthcare administration

About Machinify

Machinify provides AI-driven solutions to improve decision-making in the healthcare industry. Its platform helps health plans, payers, and providers optimize their operations, particularly in areas like claims processing and utilization management. The applications offered by Machinify can be quickly deployed, allowing clients to see immediate returns on investment. This focus on rapid implementation sets Machinify apart from competitors, as healthcare organizations increasingly seek cost efficiency and better patient outcomes. The company's goal is to enhance operational efficiency and help clients manage healthcare expenditures more effectively.

Key Metrics

Palo Alto, CaliforniaHeadquarters
2016Year Founded
$15.2MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees

Benefits

Medical, dental, & vision
Flexible work environment
Generous PTO
Competitive salary
Equity
401(k)
Sponsorship
Generous L&D Reimbursement policy

Risks

Integration challenges with Evolent Health could disrupt Machinify's operations.
Slow adoption of new technologies in healthcare may hinder Machinify's rapid deployment.
Reliance on a few large clients poses a risk if they switch providers.

Differentiation

Machinify leverages AI to optimize healthcare decision-making and administrative processes.
The company offers rapid deployment of AI applications for immediate ROI in healthcare.
Machinify's AI platform addresses the entire healthcare claims lifecycle efficiently.

Upsides

AI-driven automation in healthcare claims processing is gaining significant traction.
The healthcare AI market is projected to reach $45.2 billion by 2026.
Machinify's AI solutions reduce administrative costs and improve patient care access.

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