Machinify
As of 30 October 2026, Machinify has 58 open roles (19 new in 30 days), its data & ai team is hiring most, and its postings name SQL, Python and Java as the tools the team works in.
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Dallas, Texas, United States
- Employees
- 51-200 employees (linkedin)
- Sells to
- health plans, medicare, medicaid
- Certifications on site
- Site languages
- EN
- Career system
- Greenhouse
Machinify in one screen
Read from machinify.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Machinify is a healthcare payment technology company that provides AI-driven payment integrity and claims processing for health plans, Medicare, and Medicaid. Its platform processes claims, medical records, contracts and policies, and pharmacy data, offering products such as Coordinate, Subrogate, Audit, Pay and Pharmacy. It serves enterprise customers including 18 of the top 20 health plans.
Named on the site: health plans, medicare, medicaid, healthcare providers.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 589 scored.
What Machinify says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Work across the full stack: JVM (Java/Scala), Rust, Python, SQL, and Spark• Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON).• Work across the full stack: JVM (Java/Scala), Rust, Python, SQL, and SparkWe inherited complex and important Scala systems that need scaling work and data layer rethinking.We develop in Rust; strong Java, Go, or Scala engineers are a great fit and we'll help you adopt Rust effectively.• Use AI tools, including Claude, Claude Cowork, ChatGPT, Notion, and Slack, to produce strong first drafts of analyses, summaries, briefing material, and internal documents.• Architect & build the migration pipelines — turn intricate legacy logic into production-grade Airflow DAGs and Spark jobs on the Machinify platform, edge cases, payer-specific carve-outs, and business-rule exceptions included, owning the• Monitor Slack and respond to messages promptly throughout the day• Data quality & pipeline validation — Perform detailed audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness; write SQL and Spark SQL queries to validate pipeline output end-to-end.• Use AI tools, including Claude, Claude Cowork, ChatGPT, Notion, and Slack, to produce strong first drafts of analyses, summaries, briefing material, and internal documents.pping & transformation — Design and implement data transformations that convert raw medical and institutional claims (837 EDI, UB-04, CMS-1500) into Machinify's canonical models, applying healthcare coding standards (ICD-10-CM/PCS, CPT, HCP• Model noisy healthcare operational data into certified dimensional models across our Databricks bronze → silver → gold architecture in dbt and SQL.dbt Cloud job design, Airflow DAGs, scheduling, dependency ordering, dependable incremental runs.• Coordinate system enhancements for the clinical review team, including JIRA ticket creation, UAT testing, and production employment.Vendors whose code loads on machinify.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
58 open roles, 32 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring data & ai in United States →
| open · new 30 d | |
|---|---|
| Data & AI | 12 · 3 |
| Healthcare clinical | 7 · 3 |
| Software engineering | 6 · 0 |
| Customer service & success | 3 · 2 |
| Finance & accounting | 3 · 1 |
| Administration & office | 2 · 0 |
| Legal, compliance & risk | 2 · 1 |
| Procurement and purchasing | 2 · 1 |
| Product, program & project management | 2 · 0 |
| Arts media and entertainment | 1 · 1 |
| Business development & strategy | 1 · 0 |
| Design & UX | 1 · 0 |
| Human resources | 1 · 1 |
| Manufacturing and production | 1 · 1 |
| Marketing & communications | 1 · 0 |
| Sales | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Machinify to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Machinify
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 589 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Machinify (Dallas, United States, 51-200 employees) has 58 open roles, 19 new in 30 days, and names 14 tools in its postings. (Breaknorm, 30 October 2026, https://breaknorm.co/company/machinify.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from machinify.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Greenhouse career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Machinify: questions
Does Machinify use SQL?
Yes, by the company's own words: 12 postings name it, first seen 2026-01-27, in the data & ai team.
Is Machinify hiring?
58 open roles as of 30 October 2026, 19 opened in the last 30 days and 3 closed. The largest team hiring is data & ai.
Where does this profile come from?
From machinify.com itself: we crawled it on 2026-08-08, built the profile on 2026-08-16, and read its career site (Greenhouse) hourly since. Headcount is from LinkedIn.
Who should I write to at Machinify?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 1 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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