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Remote Data Engineer Jobs in Spring, TX (NOW HIRING)

AI Engineer, Principal

Houston, TX · Remote

$147.20K - $210.30K/yr

Data Engineering & Processing - Work with large healthcare datasets, performing data preprocessing ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

AI Engineer, Principal

Houston, TX · Remote

$147.20K - $210.30K/yr

Data Engineering & Processing - Work with large healthcare datasets, performing data preprocessing ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

Senior Transmission Line Engineer - REMOTE

Houston, TX · Remote

$99.80K - $137K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Prepare and review technical documentation such as specifications, data sheets, RFQs, bid ...

Data Management and Access Optimization: Improve robustness and performance of our SQL DB setup to ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

Data Management and Access Optimization: Improve robustness and performance of our SQL DB setup to ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

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Remote Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do remote data engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

What are the most commonly searched types of Data Engineer jobs in Spring, TX? The most popular types of Data Engineer jobs in Spring, TX are:
What are popular job titles related to Remote Data Engineer jobs in Spring, TX? For Remote Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Spring, TX look for? The top searched job categories for Remote Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Data Engineer jobs? Cities near Spring, TX with the most Remote Data Engineer job openings:
Principal Platform Engineer, Medical Data

Principal Platform Engineer, Medical Data

Synthesis Health

Houston, TX • Remote

Other

Medical, Dental, Vision, PTO

Posted 16 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.