Python Analytics Engineer
Solace HealthSalary not specified
- Full Time
- Junior (1 to 2 years)
$180,000 – $200,000Compensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, AI & Machine LearningIndustries
Position Overview
- Location Type: Remote
- Job Type: Full-Time
- Salary: $180,000 - $200,000 (Base salary range, varies based on factors)
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude. As an Analytics Engineer on our Data Team, you’ll be at the heart of transforming raw data into powerful insights that drive smarter product decisions. Working alongside product managers, data scientists, subject matter experts, and functional leads, you’ll build and fine-tune data pipelines, ensuring our data is always accurate, accessible, and actionable. Your insights into product usage and performance will fuel Machinify’s innovative solutions.
Requirements
- Experience: 3+ years in analytics engineering, data engineering, or data analysis.
- SQL Mastery: Advanced SQL skills for complex queries and performance optimization.
- ELT/ETL & Orchestration: Experience with tools like Airflow.
- Data Modeling: Solid foundation in data modeling principles.
- Problem Solving: Strong analytical and troubleshooting skills.
- Attention to Detail: Commitment to data accuracy and integrity.
- Communication: Ability to translate complex technical information.
Responsibilities
- Data Analysis: Dive deep into data to reveal insights on product performance, customer behavior, claims patterns, and key financial metrics.
- Analytics Engineering: Develop and refine data models, transformations, and visualizations.
- Data Pipeline Development: Design, build, and maintain scalable, efficient data pipelines using Airflow.
- Collaboration: Partner closely with product managers, data scientists, SMEs, and functional leads to understand data needs and support product innovation.
Bonus Skills
- Experience with Python, AWS, and SparkSQL
- Familiarity with Medical Healthcare claims data models
Application Instructions
- (No specific application instructions provided in the original text.)
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.
Palo Alto, CaliforniaHeadquarters
2016Year Founded
$15.2MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees