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Full Time Remote Data Modeler Jobs in Texas (NOW HIRING)

Define Rugiet's data strategy and lead the team executing it - from infrastructure to analytics to modeling. * Manage and develop 2 analysts/data engineers, raising the bar on analytical rigor ...

Data Transformation Engineer

Addison, TX · On-site +1

$130K - $150K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Responsible for developing robust data models, creating efficient ELT processes, and optimizing ...

... remote applicants, preferably near major Ardurra offices. Ardurra is a multidisciplinary civil ... Develop enterprise data models that support reporting, analytics, and operational decision-making.

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a ... Predictive Modeling: * Develop predictive models to forecast project timelines, resource allocation ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

This is a fully remote position. Face to face communication is important to us, so we have ... Make data modeling and schema design decisions - choosing the right structure for how data is ...

Data modeling and validation Partner with Data Engineering to keep upstream sources trustworthy ... Full-time, U.S.benefits include: Medical, dental, and vision coverage Life insurance, disability ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Reverse engineer data models from other vendors * Troubleshoot data quality issues and write ... Progressive culture * 100% flexibility in living and working from anywhere you want * 100% remote ...

Sr. Epic Data Acquisition Analyst

Plano, TX · On-site +1

$82K - $103K/yr

Position Location This is a remote-based position within the Continental US. Who We Are VytlOne is ... Our innovative model combines customized pharmacy management, 340B program expertise, specialty ...

Showing results 41-60

Full Time Remote Data Modeler information

What is a full time remote data modeler?

Full Time Remote Data Modelers are professionals who design, create, and maintain data models for organizations while working from a remote location. Their main responsibility is to structure and organize data so it can be efficiently stored, accessed, and analyzed, often collaborating with data engineers, analysts, and other IT staff. Working full time means they typically work a standard 40-hour week, and since the role is remote, all communication and collaboration are done virtually. These professionals are essential for organizations that rely heavily on data-driven decision making and need robust data infrastructure. They often use tools like ERwin, SQL, or PowerDesigner and are skilled in database management and programming.

What are the key skills and qualifications needed to thrive as a full time remote data modeler?

To thrive as a Full Time Remote Data Modeler, you need expertise in database design, data modeling concepts (such as ER diagrams and normalization), and a degree in computer science or a related field. Familiarity with data modeling tools (like ER/Studio, Erwin, or SQL-based platforms) and experience with cloud databases are commonly required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborating with distributed teams. These skills are crucial for ensuring accurate data structures, efficient data flow, and seamless integration in complex, remote-driven projects.

How do full time remote data modelers typically collaborate with distributed teams to ensure data consistency and project alignment?

Full Time Remote Data Modelers usually work closely with other data professionals, such as data engineers, analysts, and business stakeholders, using collaborative tools like shared documentation, version control systems, and virtual meetings. Clear communication and regular sync-ups are essential to ensure everyone understands the data models and that standards are consistently applied across projects. These professionals often participate in daily stand-ups, design reviews, and cross-functional team discussions to address challenges, clarify requirements, and maintain alignment with business goals. Remote work requires proactive communication and a disciplined approach to documentation to avoid misinterpretations and ensure data integrity.

What is the difference between Full Time Remote Data Modeler vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ModelerFull Time Remote Data Analyst
Primary RoleDesigns and develops data models and database structuresAnalyzes data to generate reports and insights
Required SkillsData modeling, database design, SQL, data warehousingData analysis, visualization, SQL, statistical tools
Work EnvironmentRemote, often collaborating with data engineers and architectsRemote, working with business teams and stakeholders
Common CertificationsCDMP, CBIP, Microsoft Certified Data AnalystMicrosoft Certified Data Analyst, SAS, Tableau certifications

While both roles work remotely and require SQL and data skills, a Full Time Remote Data Modeler focuses on designing data structures, whereas a Full Time Remote Data Analyst interprets data to support business decisions. They complement each other but serve different functions within data teams.

What are the most commonly searched types of Remote Data Modeler jobs in Texas?

The most popular types of Remote Data Modeler jobs in Texas are:

What are popular job titles related to Full Time Remote Data Modeler jobs in Texas?

For Full Time Remote Data Modeler jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Full Time Remote Data Modeler jobs?

Cities in Texas with the most Full Time Remote Data Modeler job openings:

Infographic showing various Full Time Remote Data Modeler job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Principal Platform Engineer, Medical Data

Synthesis Health

Houston, TX • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago


Job description

Synthesis Health

Who We Are

We're a mission- and values-driven company with tremendous dedication to our customers. Our 100% remote team is dedicated to a common goal - to revolutionize healthcare through innovation, collaboration, and commitment to our core values and behaviors.

About the Opportunity

We are looking for a Principal Platform Engineer to serve as the key steward and architect of our medical data domain. In this role, you will own the integrity of our logical data model, ensuring that every service we build and every integration with customer systems preserves the accuracy and fidelity of our patient data.

Your primary focus will be on the interaction between our services and our data. You will define the patterns that allow our systems to interact with complex medical data structures in the most elegant, flexible, and performant way possible. You will act as the guardian of our domain model, ensuring that as we scale, we never compromise on data correctness or structural coherence.

This is a leadership role for a hands-on technical visionary. You will solve deep, structural problems regarding data consistency and interoperability. As a key voice on the Architecture Review Board (ARB), you will be the ultimate gatekeeper for decisions involving the data model, ensuring that our architecture evolves to support new clinical capabilities without accruing technical debt.

If you are an expert in healthcare data standards and modern cloud engineering, this is your chance to build a legacy.

Key Responsibilities

Medical Data Strategy & Domain Integrity

  • Domain Model Stewardship & Service Interaction: You will define and enforce the integrity of our logical data model. You will architect the patterns for how all internal services and external integrations interact with this model, ensuring data accuracy and structural flexibility are preserved across the entire platform.
  • High-Throughput Ingestion Architecture: You will architect and optimize our ingestion pipelines to handle massive bursts of DICOM images and HL7 messages without latency or data loss.
  • Standards & Interoperability: You will lead the strategy for FHIR, HL7, and DICOM interoperability, ensuring our platform speaks the language of modern healthcare fluently.

Compliance & Security by Design

  • Automate Compliance: You will design systems that enforce HIPAA, ISO 27001, and SOC2 requirements at the infrastructure and code level. You will build "compliance as code" to ensure audit readiness without manual toil.
  • Data Governance: You will define the patterns for data residency, retention, and deletion, ensuring we meet strict legal and contractual obligations across global deployments.

Architectural Leadership & Influence

  • Systemic Data Consistency: You will solve hard problems regarding distributed data consistency, helping us move away from tight coupling while ensuring data correctness across services.
  • Elevate the Platform: You will be the subject matter expert (SME) for healthcare data within the engineering organization, mentoring Staff and Senior engineers on the nuances of medical data standards and distributed data patterns.

What We're Looking For

  • Deep Healthcare Data Expertise: 10+ years of engineering experience with a specific focus on healthcare data. You are an expert in DICOM (tags, transfer syntaxes, WADO/QIDO) and HL7/FHIR.
  • Scale & Performance: Proven track record of building data pipelines that handle terabytes of medical imaging data. You understand the specific storage and retrieval challenges of pixel data vs. metadata.
  • Language Fluency & Strategy: Deep expertise in TypeScript/Node.js is required. As we pivot performance-critical paths toward Go, experience leading similar language transitions or strong Go proficiency is highly desirable.
  • Deep Technical Mastery:
    • Deep expertise in schema design for both SQL (PostgreSQL) and NoSQL environments.
    • Experience with data lakes and warehousing (BigQuery/Snowflake) in a healthcare context.
    • Experience with stream processing (Kafka/Dataflow) for real-time DICOM and HL7 feeds.
    • Expertise in container orchestration (Kubernetes) at scale.
  • Compliance expertise: You have built systems that are HIPAA/GDPR compliant from the ground up and understand the technical implications of PHI (Protected Health Information) protection.
  • Communication at Scale: You can effectively communicate the business value of architectural investments to executive leadership while diving deep into the code with engineers.

Preferred Qualifications

  • Imaging Physics Knowledge: Understanding of the physics of medical imaging (CT, MRI, X-Ray) and how it impacts data storage and rendering.
  • AI/ML Pipeline Experience: Experience architecting data flows that feed AI models for clinical decision support.
  • PACS/VNA Architecture: Experience architecting or operating Picture Archiving and Communication Systems (PACS) or Vendor Neutral Archives (VNA).

Why You Should Join Us

  • Solve Our Toughest Puzzles: This is a high-leverage role. You will be working on the most impactful technical challenges that are critical to the company's success.
  • Define the Architecture: You won't just be maintaining a system; you will be a primary author of its future state, with the autonomy to make it happen.
  • Lead from the Front: This is a chance to establish yourself as a key technical voice in a rapidly growing company.
  • Competitive Compensation & Benefits: We offer a strong salary, meaningful equity, a 100% remote culture, and significant opportunities for growth.

We are a values-driven company. Our values:

  • Clinical service first.
  • Collaborate with our customers.
  • Listen, respect, learn.
  • Innovate to excel.

The behaviors we look for:

  • Be nice.
  • Be creative.
  • Be honest.
  • Be helpful.

Compensation and Benefits

Typical salary range for this position is $170,000 - $205,000. However, Synthesis participates in location based hiring and salary ranges can be adjusted based on candidate's residence.

Other benefits include, but are not limited to: Medical, Dental, Vision, "Use as needed" vacation policy, and participation in our employee option program.

Synthesis Health is an Equal Employment/Affirmative Action employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law.