[Remote] Data Engineering Manager at Machinify

Palo Alto, California, United States

Machinify Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare Technology, Artificial Intelligence, SaaSIndustries

Skills

Key technologies and capabilities for this role

Data EngineeringPipeline DesignMentoringProject ManagementData ModelingCloud PlatformsSQLPythonETLData WarehousingMachine LearningCross-functional Collaboration

Questions & Answers

Common questions about this position

Is this Data Engineering Manager position remote?

Yes, this is a remote position.

What are the key responsibilities of the Data Engineering Manager?

You will lead and mentor a team of Data Engineers, own the design and optimization of production pipelines, drive customer data onboarding, collaborate with cross-functional teams, and ensure high data quality and observability.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the company culture emphasize for this team?

The role emphasizes fostering technical excellence, collaboration, career growth, innovation, and continuous improvement within a high-performing team.

What makes a strong candidate for the Data Engineering Manager role?

Strong candidates bring hands-on technical expertise in data engineering, leadership skills to mentor and grow teams, experience designing production pipelines, and the ability to collaborate cross-functionally while driving data quality and best practices.

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

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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