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Remote Data Jobs in Spring, TX (NOW HIRING)

TeemaGroup

Senior Solutions Architect- REMOTE

Houston, TX · Remote

$99 - $100/hr

Remote Work Environment * Flexible Time Away From Work Policy including PTO, Personal and Sick Days ... Assess customer-specific requirements and recommend approaches for performance optimization, data ...

Resource Data

Senior GIS Developer

Houston, TX · Remote

$85K - $96K/yr

Remote (US Only) As a Senior GIS Developer at Resource Data, you will lead the design and delivery of advanced geospatial solutions, applying expert-level development and data architecture skills to ...

GAI Consultants

Data Center Program Manager

Houston, TX · On-site +1

$112K/yr

Enjoy flexible work arrangements (remote/hybrid options available). * Access a comprehensive ... data center projects. From transforming brownfield sites to designing advanced water treatment ...

LiteBridge

Data Engineer (Junior)

Houston, TX · Remote

LiteBridge connects talented data engineers with global opportunities by training them in Palantir ... Flexible, remote work environment. * Placement with international clients upon certification.

Resource Data, Inc

Senior GIS Developer

Houston, TX · On-site +1

$85K - $96K/yr

Remote (US Only) As a Senior GIS Developer at Resource Data, you will lead the design and delivery of advanced geospatial solutions, applying expert-level development and data architecture skills to ...

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All JobsData JobsRemote Data JobsRemote Data Jobs in Spring, TX

Remote Data information

See Spring, TX salary details

$40.9K

$146.8K

$216.7K

How much do remote data jobs pay per year?

As of Jul 12, 2026, the average yearly pay for remote data in Spring, TX is $146,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $151,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Spring, TX? The most popular types of Data jobs in Spring, TX are:
What are popular job titles related to Remote Data jobs in Spring, TX? For Remote Data jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Spring, TX look for? The top searched job categories for Remote Data jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Data jobs? Cities near Spring, TX with the most Remote Data job openings:
Remote Data jobs near you

Senior Solutions Architect- REMOTE

TeemaGroup

Houston, TX • Remote

$99 - $100/hr

Full-time

Medical, Life, PTO

Re-posted 21 days ago

Job description

Job Summary

Senior Solutions Architect- REMOTE

TeemaGroup

Contract, Full-time - Temp to Hire

Remote | TX, United States

Some of the benefits we offer (once the role is permanent):
* Remote Work Environment
* Flexible Time Away From Work Policy including PTO, Personal and Sick Days
* Competitive Salary and Health/Medical Benefits
* Life and Disability
* Employee Assistance Program
* FHIR Study Program and Skillsoft Learning
* Super HAPI Fun Club

Responsibilities:

  • Lead architectural design and solutioning during discovery and early implementation phases, partnering with healthcare customers to uncover requirements and design scalable, standards-aligned solutions.

  • Provide architectural oversight across the full implementation lifecycle and post–go-live, ensuring solutions remain aligned with Smile’s best practices, technical standards, and platform capabilities.

  • Assess customer-specific requirements and recommend approaches for performance optimization, data ingestion workflows, bundle design, and terminology mapping.

  • Collaborate with Product, Engineering, QA, Agile Leads, Solution Architects, and Technical Account Managers to resolve architectural questions and validate implementation patterns.

  • Adapt and evolve solution designs as delivery progresses, addressing new constraints, scalability challenges, and deployment issues.

  • Participate in customer-facing engagements including design reviews, technical workshops, retrospectives, and escalation discussions, providing clear technical direction at key decision points.

  • Contribute to internal architecture governance through design reviews, documentation, and reusable solution assets, while staying current with Smile’s product roadmap and relevant regulatory requirements (e.g., CMS interoperability mandates).

Requirements:

  • 10+ years of experience in software engineering, technical consulting, or solution architecture, supporting complex healthcare implementations.

  • Proven ability to lead customer-facing architecture and design discussions with payer, provider, or government healthcare organizations.

  • Experience designing solutions involving real-time data ingestion technologies such as Kafka, Camel, or Pulsar, and implementing FHIR-based data workflows.

  • Strong understanding of clinical data models and healthcare terminology standards (e.g., SNOMED CT, RxNorm, LOINC), including their use across ingestion, transformation, and API layers.

  • Working knowledge of cloud-native environments (AWS, Azure, or GCP) and containerized deployments using technologies such as HELM, Docker and Kubernetes.

  • Demonstrated ability to evaluate technical trade-offs and adapt solution designs as new constraints, requirements, or implementation challenges emerge.

  • Excellent communication and collaboration skills, with the ability to translate complex technical concepts for both technical and non-technical stakeholders.

  • Proficiency with solution diagramming tools such as Lucidchart (or equivalent) to clearly communicate architecture, system interactions, and data flows.