Machinify

HQ
Dallas
Total Offices: 2
96 Total Employees
Year Founded: 2016

Machinify Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers company equity

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Company Culture

Offers a remote work program

Offers diversity-based Employee Resource Groups

Recently posted jobs

5 Hours AgoSaved
Remote
United States
Machine Learning • Software
Leads end-to-end implementation of healthcare technology, analytics, and payment integrity solutions. Manages project plans, integrations, data readiness, configuration, testing, go-live, risks, documentation, training, and client communications. Coordinates cross-functional teams and healthcare data workflows while ensuring quality, security, regulatory compliance, and client satisfaction. Supports process improvement, issue resolution, and knowledge transfer across implementation teams.
2 Days AgoSaved
Remote
United States
Machine Learning • Software
Own end-to-end client data migrations: reverse-engineer legacy ETL, design and build Airflow DAGs and Spark jobs, validate and reconcile data at scale, document architecture and decisions, and coordinate cross-functional teams through go-live and hypercare.
2 Days AgoSaved
Remote
United States
Machine Learning • Software
Design, build, and operate production data pipelines using Python, Spark SQL, and Airflow. Canonicalize healthcare and customer data into trusted internal models, optimize distributed processing, enforce schemas, and implement quality checks and observability. Support customer onboarding, streaming pipelines, troubleshooting, on-call operations, and platform best practices while collaborating with product, analytics, engineering, data science, and customer teams.