[Remote] Analytics Engineer at Machinify

Palo Alto, California, United States

Apply Now

$180,000 – $200,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, AI & Machine LearningIndustries

Skills

Key technologies and capabilities for this role

SQLAirflowData ModelingData AnalysisData Pipeline Development

Questions & Answers

Common questions about this position

What is the salary range for the Analytics Engineer position?

The base salary range is $180,000 - $200,000, which varies based on factors.

Is this Analytics Engineer role remote?

Yes, the position is fully remote.

What skills are required for the Analytics Engineer role?

Required skills include 3+ years in analytics engineering, data engineering, or data analysis; advanced SQL for complex queries and optimization; experience with ELT/ETL tools like Airflow; solid data modeling; strong problem-solving; attention to detail; and communication skills.

What is the team structure like for this Analytics Engineer position?

You'll work alongside product managers, data scientists, subject matter experts, and functional leads on the Data Team.

What makes a strong candidate for the Analytics Engineer role?

Candidates with 3+ years of relevant experience, advanced SQL mastery, Airflow expertise, strong data modeling, and bonus skills like Python, AWS, SparkSQL, or healthcare claims data will stand out.

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