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

Senior Software Engineer, Python

Houston, TX · On-site +1

$117K - $154K/yr

By streamlining data integration and enhancing collaboration, we help operators, engineers, and ... This is a fully remote position, but candidates will be expected to be in person for initial ...

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... Analyze data and review project work products, including site specific technical data, engineering ...

Senior Transmission Line Engineer - REMOTE

Houston, TX · Remote

$99K - $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 Center Program Manager

Houston, TX · On-site +1

$112K/yr

Bachelor's degree in Engineering or related field. * Minimum 5 years of experience in data center ... Enjoy flexible work arrangements (remote/hybrid options available). * Access a comprehensive ...

Provide remote technical support and troubleshooting assistance to field engineers and rig teams, including after-hours support as operationally required. * Analyze data to help determine causes of ...

Showing results 21-40

Remote Data Engineer information

See Spring, TX salary details

$40.7K

$118.8K

$162.5K

How much do remote data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data engineer in Spring, TX is $118,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $125,900.00 per year, depending on experience, location, and employer.

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 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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

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:

Infographic showing various Remote Data Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,770 per year, or $57.1 per hour.

Snowflake Architect - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 20 days ago


Job description

NAVA Software solutions is looking for a Snowflake Architect
Details:
Snowflake Architect -Full Life Cycle with Snowflake
Duration: 6 months
Location: Remote
The ideal candidate will assess our client's current Snowflake environment, provide strategic recommendations, and lead optimization efforts. Additionally, this role involves mentoring and upskilling a couple of our client's employees, ensuring knowledge transfer and best practices.This is a senior-level position requiring deep technical expertise, strong leadership skills, and excellent communication abilities. The environment is fast-paced with no hand-holding; we need a self-starter who can hit the ground running.
Key Responsibilities:
  • Assess the existing Snowflake environment, identifying strengths, weaknesses, and areas for improvement.
  • Develop and implement best practices for performance tuning, security, governance, and cost optimization.
  • Provide strategic recommendations and a roadmap for enhancing Snowflake usage.
  • Lead and mentor internal employees, offering guidance on data architecture, ELT processes, and advanced Snowflake features.
  • Collaborate with business and technical stakeholders to ensure Snowflake solutions align with business needs.
  • Work with Sigma BI to optimize dashboards and reports for better decision-making.
  • (Nice to have) Provide insights on potential MuleSoft integrations if relevant.
  • Document architecture, processes, and recommendations for future reference.

Required Qualifications:
  • Extensive hands-on experience with Snowflake, including architecture, security, optimization, and best practices.
  • Proven expertise with Sigma BI for data visualization and reporting.
  • Experience mentoring and upskilling technical team members.
  • Strong ability to work in a fast-paced, no-hand-holding environment.
  • Exceptional communication skills to convey technical concepts to both technical and non-technical stakeholders.
  • Ability to work independently while aligning with company objectives.

Preferred Qualifications:
  • Familiarity with MuleSoft integration (nice to have).
  • Experience in high-performance data engineering and cloud solutions.
  • Knowledge of data governance, compliance, and security frameworks.

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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