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

ComboCurve, Inc.

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 ...

Ascent Placement Partners

Be Seen First

Remote Software Engineer - Technical Advisor

Houston, TX · Remote

$150/hr

Remote Software Engineer - Technical Advisor $150.00 USD/hour | 100% Remote (USA Only) | Mostly ... Cross-layer fluency: backend, frontend, APIs, data, testing, or tooling * Strong written ...

YO AI Labs

Backend Java Developer - Remote

Houston, TX · Remote

$60 - $110/hr

Backend Java Developer Job Type: Contractor Location: Remote Job Overview We are seeking ... Solid knowledge of REST APIs, data structures, and backend best practices . * Strong problem ...

YO AI Labs

Backend Developer - Remote

Houston, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Tetra Tech

Civil Engineer III

Houston, TX · On-site +1

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 ...

Tetra Tech

Civil Engineer III

Houston, TX · On-site +1

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 ...

YO AI Labs

Frontend Developer - Remote

Houston, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

GAI Consultants

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 ...

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Showing results 41-60

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Spring, TX

Remote Data Engineer information

See Spring, TX salary details

$37.7K

$109.8K

$150.2K

How much do remote data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote data engineer in Spring, TX is $109,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $116,400.00 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.
More about Remote Data Engineer jobs

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:

Remote Data Engineer jobs near you
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.

Senior Software Engineer, Python

Houston, TX • On-site, Remote

ComboCurve, Inc.
Oil and Gas Extraction • 11 - 50 employees
Learn more about ComboCurve, Inc.external

$117K - $154K/yr

Full-time

Re-posted 11 days ago

Job description

ComboCurve is a industry leading cloud-based software solution for A&D, reservoir management, and forecasting in the energy sector. Our platform empowers professionals to evaluate assets, optimize workflows, and manage reserves efficiently, all in one integrated environment.
By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve delivers real-time analytics and exceptional user support, with a world-class customer experience team that responds to inquiries in under 5 minutes.
This is a fully remote position, but candidates will be expected to be in person for initial onboarding.
We're hiring a Senior Software Engineer to join our Platform Team. You'll help design and build the core services, internal APIs, and data workflows that power ComboCurve's products. This role is ideal for someone who loves writing modern Python, caring about architecture and testability, and building platform capabilities that make the rest of engineering faster and more reliable.
What You'll Do
  • Build and maintain robust platform services and internal tooling primarily in Python.
  • Design clean, well-typed interfaces and services that scale with growing data volumes and product needs.
  • Develop and own internal APIs that other teams depend on, with strong contracts and documentation.
  • Create high-performance data processing paths inside services to support analytics and ingestion workloads.
  • Deploy and operate Python services on GCP using serverless and managed platforms.
  • Improve CI/CD pipelines, testing practices, and developer experience across the platform.
  • Partner closely with product engineers, data engineers, and leadership to shape platform direction.
  • Write ADRs, architecture diagrams, and technical documentation that scale decision-making.
  • Mentor other engineers through code reviews, pairing, and pragmatic standards-setting.

Requirements
  • Advanced Python Proficiency: Deep expertise in Python 3.13+, specifically utilizing type annotations, async/await patterns, and modern language features to build robust platform services.
  • Modern Dependency Management: Hands-on experience with uv for fast package management (or similar), dependency resolution, and virtual environment handling.
  • Software Architecture Patterns: Strong adherence to SOLID principles and clean architecture; ability to design decoupled, maintainable systems that scale.
  • API Design & Development: Experience designing internal APIs using REST or gRPC, including defining clear, standard contracts using OpenAPI specifications.
  • High-Performance Data Processing: Experience using polars, PyArrow, or Apache Iceberg for efficient large-scale data manipulation and processing within application logic.
  • Data Warehouse Integration: Experience connecting Python applications to modern data platforms like Snowflake or Databricks for data ingestion and retrieval.
  • Google Cloud Platform: Proven track record deploying and managing services on GCP, specifically using Cloud Run, Cloud Functions, and Google Cloud Storage.
  • CI/CD: Ability to design and maintain pipelines for automated testing, linting, and cloud deployment; experience with GitHub Actions is strongly preferred.
  • Automated Testing Strategy: Extensive experience writing comprehensive test suites using pytest, including the use of fixtures, parameterization, and mocking external services.
  • Technical Leadership: Ability to mentor team members through code reviews, ADRs and architecture diagrams.
  • AI Agent Frameworks Experience: building or integrating with AI agent frameworks and LLM orchestration tools to enhance platform automation and capabilities.
  • Shell Scripting: Competency in Bash scripting for automating local developer tasks, build processes, or operational utility scripts.
  • Version Control Mastery: Deep understanding of Git, including branching strategies, conflict resolution, and maintaining a clean commit history.
  • Containerization: Proficiency in Docker and Docker Compose for creating consistent local development environments and production-ready images.
  • Static Analysis Configuration: Familiarity with enforcing code quality standards using ruff for linting and pyright for strict static type checking.

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