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Mid Level Meta Health Jobs in Austin, TX (NOW HIRING)

GeoWorld

Mid-Level/Project Dam Safety Engineer

Austin, TX · On-site

$80 - $100/hr

... health, dental, life and disability insurance and a wellness program. As an employee-owned company ... Schnabel Engineering is seeking a Mid-Level/Project Dam Safety Engineer with expertise in one or ...

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All JobsMid Level Meta Health JobsMid Level Meta Health Jobs in Austin, TX

Mid Level Meta Health information

See Austin, TX salary details

$10.9K

$85.9K

$112K

How much do mid level meta health jobs pay per year?

As of Sep 7, 2026, the average yearly pay for mid level meta health in Austin, TX is $85,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $106,600.00 per year, depending on experience, location, and employer.

What is a mid level Meta Health professional?

A Mid Level Meta Health professional typically refers to a healthcare specialist who works at an intermediate level, often integrating technology and data-driven approaches within the healthcare sector, specifically related to Meta (Facebook) health initiatives or platforms. These professionals may be involved in analyzing health data, supporting digital health products, managing projects, or collaborating with clinical teams to improve health outcomes using Meta's technologies. They play a key role in bridging the gap between technical teams and healthcare practitioners. Their responsibilities may also include ensuring compliance with health regulations and contributing to the development of health-related features or services on Meta platforms.

What are the key skills and qualifications needed to thrive as a mid level Meta Health professional?

To thrive as a Mid-Level Healthcare Data Analyst at Meta, you need a solid background in data analysis, healthcare informatics, and statistics, typically supported by a bachelor's or master's degree in a related field. Proficiency in SQL, Python or R, data visualization tools (such as Tableau or Power BI), and familiarity with HIPAA compliance are essential. Strong problem-solving abilities, attention to detail, and effective communication skills set standout analysts apart. These competencies are crucial for deriving actionable insights from complex health data while ensuring data privacy and supporting business decisions in a fast-paced tech environment.

What are some common challenges faced by mid level Meta Health professionals, and how can they be overcome?

Mid Level Meta Health professionals often encounter challenges such as staying current with evolving healthcare technologies, managing patient data privacy, and collaborating across interdisciplinary teams. To address these, it’s helpful to participate in continuous professional development, leverage secure digital platforms, and engage in regular communication with both clinical and technical colleagues. Building strong cross-functional relationships and maintaining up-to-date certifications can also facilitate smoother workflows and career advancement.

What is the difference between Mid Level Meta Health vs Mid Level Data Analyst?

AspectMid Level Meta HealthMid Level Data Analyst
Required CredentialsBachelor's in Health Informatics, related field; certifications like Certified Health Data Analyst (CHDA)Bachelor's in Statistics, Data Science, or related; certifications like Microsoft Data Analyst Associate
Work EnvironmentHealthcare organizations, health tech companiesCorporate, consulting firms, tech companies
Employer & Industry UsageHealthcare industry, health ITVarious industries including finance, marketing, tech
Common Search & ComparisonOften compared for data management in health settingsCompared for data analysis roles across industries

Mid Level Meta Health professionals focus on managing and analyzing health data within healthcare settings, requiring health-specific certifications. In contrast, Mid Level Data Analysts work across multiple industries with broader data analysis skills. Both roles involve data handling but differ in industry focus and required credentials.

What are popular job titles related to Mid Level Meta Health jobs in Austin, TX?

For Mid Level Meta Health jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Mid Level Meta Health jobs in Austin, TX look for?

The top searched job categories for Mid Level Meta Health jobs in Austin, TX are:

What cities near Austin, TX are hiring for Mid Level Meta Health jobs?

Cities near Austin, TX with the most Mid Level Meta Health job openings:

Mid Level Meta Health jobs near you
Infographic showing various Mid Level Meta Health job openings in Austin, TX as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 15% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $85,904 per year, or $41.3 per hour.

Junior / Mid-Level Full-Stack Platform Engineer

Urrly

Austin, TX • On-site, Remote

$90K - $130K/yr

Full-time

Re-posted 28 days ago

Job description

Build the full-stack platform behind biometric health technology used in real research, healthcare, workforce safety, and enterprise environments.

Junior / Mid-Level Full-Stack Platform Engineer

Location: Remote/distributed in the United States; Austin / San Antonio preferred

Company: Confidential biometric health technology company

Compensation: $90,000-$130,000 base salary, with additional flexibility for exceptional profiles

Opportunity

We are hiring a Junior / Mid-Level Full-Stack Platform Engineer for a fast-moving biometric health technology company building production systems around wearable physiological data, APIs, SDKs, and AI-forward infrastructure.

This is a hands-on builder role for someone early in their engineering career who already has real full-stack experience and strong fundamentals. You do not need to be a senior engineer. You do need to be sharp, practical, curious, and able to ship useful software with mentorship from experienced technical leaders.

The right person will help build backend services, frontend surfaces, APIs, SDKs, and data pipelines that support a broader biometric data platform. You will work in a lean startup environment where speed, ownership, clear communication, and good engineering judgment matter.

Why People Lean In
  • Real platform work in biometric health technology, not toy internal tools.
  • Direct exposure to AI-forward infrastructure, data pipelines, APIs, and SDKs.
  • Mentorship from senior technical leaders while still owning meaningful build work.
  • A lean startup environment where strong early-career engineers can grow quickly.
  • Remote/distributed setup, with Austin / San Antonio preferred but not required.
  • $90,000-$130,000 base salary for the right early-career or junior/mid-level profile, with additional flexibility for exceptional profiles.
What You Will Do
  • Build and improve full-stack platform features across frontend, backend, APIs, SDKs, and data systems.
  • Write Python- or Go-backed services and work with JavaScript or TypeScript on product-facing surfaces.
  • Support data pipelines and platform workflows that connect biometric data, enterprise systems, and AI-facing infrastructure.
  • Collaborate with senior engineers on architecture, implementation, deployment, and technical tradeoffs.
  • Ship clean, reliable code in a compliance-aware environment.
  • Debug production-adjacent issues, reason through data flow, and improve the platform over time.
  • Move quickly without waiting for every detail to be prescribed.
What You Bring
  • Hands-on full-stack software engineering experience from a professional role, internship, startup, open-source work, or substantial shipped project.
  • Strong Python or Go skills.
  • Experience building backend services, APIs, SDKs, or data pipelines.
  • Practical frontend experience, especially JavaScript or TypeScript.
  • Solid fundamentals in Git, testing, debugging, deployment, interfaces, and data flow.
  • Comfort working in a lean startup where priorities move quickly.
  • Ability to communicate tradeoffs clearly and learn from senior engineers.
  • Willingness to complete a live coding assessment.

Recent grads can be a fit when they have unusually strong full-stack project, internship, startup, or open-source evidence. This is not a pure classroom-only role; the team needs someone who has already built and shipped real software in some form.

Nice To Have
  • Depth across both Python and Go.
  • AI/ML, AI tooling, data infrastructure, or model-facing platform exposure.
  • Health tech, wearables, biometric data, IoT, or device-connected software experience.
  • HIPAA, SOC 2, GDPR, or other compliance-aware engineering experience.
  • Austin, San Antonio, or broader Texas location.
  • Strong science, engineering, computer science, or systems-oriented background.
What Success Looks Like
  • You learn the existing platform quickly and start shipping useful work.
  • You can own well-scoped full-stack, API, SDK, backend, or data-pipeline tasks from definition through deployment.
  • You ask good questions, communicate tradeoffs, and avoid getting stuck quietly.
  • You write code that is simple, testable, and maintainable.
  • You grow quickly with mentorship while still taking real ownership.
  • You bring curiosity about AI-enabled engineering without needing to be a pure AI researcher.
Additional Details

This is a full-time role with a distributed U.S. team. Austin / San Antonio is preferred, but the engineering team is already distributed, so location is helpful rather than mandatory.

The posted salary range is $90,000-$130,000 base salary, with additional flexibility for exceptional profiles. Final compensation depends on experience, skill level, technical assessment performance, and fit for the role.

Equal Opportunity Statement

Employment decisions are based on qualifications, experience, business needs, and role-related requirements. The company does not discriminate based on protected status. Urrly reviews applications against job-related factors such as skills, certifications, and experience.

Apply Now

Apply now and get a response within 24 hours.

Employment Type: FULL_TIME

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