2

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

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

Databricks Architect - Remote

Houston, TX · Remote

$61.75 - $81.25/hr

Remote Duration: 12 Months Contract We have below longterm job opening. If you are interested ... Must Have Technical/Functional Skills 10+ years of overall experience in data engineering or ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

Databricks Architect - Remote

Houston, TX · On-site +1

$61.75 - $81.25/hr

Remote Duration: 12 Months Contract We have below longterm job opening. If you are interested ... Must Have Technical/Functional Skills 10+ years of overall experience in data engineering or ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... Build MLOps pipelines for structured/unstructured data. * Implement observability, monitoring, and ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

next page

Showing results 1-20

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 Jun 22, 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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

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 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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
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 June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,433 per year, or $55.5 per hour.
Level IV Software Engineer (API's, integration and Data Products)

Level IV Software Engineer (API's, integration and Data Products)

Software Technology Inc

Houston, TX • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.


Job description

Wells Platform - Level IV Software Engineer (API's, Integration and Data Products)

Tech stack:

API - strong experience here

C#

.Net Core

Azure - @ least 1-2 years

Angular

Location:

Houston - will look at remote candidates secondary

The Chevron Wells Platform is looking for a mid to senior career Software Engineer. A full set of job requirement is below but this role will have an emphasis on Role 1 API's, Integration and Data Products / Role 2 Full Stack Dev & Mobility / Role 3 Full Stack Dev and Real Time Data. The roles are strongly & preferably Houston based but nearshore locations such as Mexico will be considered

Responsibilities for this position may include but are not limited to:

  • Consistently delivers complex, innovative and complete solutions, driving them through design, planning, development, deployment and support that simplify business processes and workflows to drive business value.
  • Experience building solutions in multiple programming languages and platforms.
  • Provide technical leadership both tactical (day to day activities) and strategic (big picture, vision). Work has high senior IT and business leadership visibility.
  • Represent team, priorities, architectures in cross-team architectural discussions and decision making. Partner with PMs/POs in forming vision, direction and priorities
  • Advocate solid software development practices in the team covering testing, modularity, scalability, observability and integration.
  • Deliver results in collaboration with other software engineering and technical teams. Constructively and positively influence own and other teams/organizations direction
  • Practical, hands on experience in all phases of Software Development Lifecycle (plan, design, develop, test, release, maintain and support, decommission), data engineering/data management practices and tools, strong technical background in one or more development platforms (Microsoft, Java, Linux/Unix, Cloud, Mobile).
  • Design and develop data engineering, data integration and data management practices and tools
  • Develop software solution leveraging established Chevron technology standards and collaborate with internal partners to develop new technology standards as needs arise
  • Maintain working knowledge of the latest software engineering tools and practices for continuous integration, unit tests, static and dynamic profiling, code coverage, code analysis, and automated tests.
  • Expert knowledge developing and debugging in Microsoft technologies.
  • 7+ year of Technical depth and breadth across the range of large-scale cloud and data architectures technologies
  • Effective communicator with a record of clear and impactful communication at multiple levels (i.e. from junior engineers to company’s IT leadership)
  • Technical mentor for the team, enabling development and growth of other software engineers across the company
  • Experience designing and implementing API-first approach across platforms and solutions.
  • Significant experience working on and leading agile teams, utilizing industry methodologies such as SAFe, Scrum, Kanban etc.
  • BS minimum, MS preferred in Computer Science or related technical field involving coding (e.g., physics, Engineering or mathematics), or equivalent practical experience.
  • Hands-on experience with Azure Cloud, Service Now, Ansible, Jenkins, and VSTS are considered a plus.

Required Qualifications:

  • BS in Computer Science or related technical field involving coding (e.g., physics, Engineering or mathematics), or equivalent practical experience.
  • 10+ year of Technical depth and breadth across the range of large-scale cloud and data architectures technologies
  • Demonstrated deep understanding of the methods, processes and appropriate software engineering frameworks along with Chevron Digital Architecture System and Agile Frameworks.
  • Practical, hands on experience in all phases of Software Development Lifecycle (plan, design, develop, test, release, maintain and support, decommission), data engineering/data management practices and tools, strong technical background in one or more development platforms (Microsoft, Java, Linux/Unix, Cloud, Mobile).
  • Expert knowledge developing and debugging in Microsoft technologies.
  • Experience designing and implementing API-first approach across platforms and solutions.
  • Has deep knowledge of multiple programming languages, how to apply them and can easily articulate their strengths and weaknesses,
  • Example Object Oriented Design and Programming with proficiency in 2 or more of the following languages: C#, C++, Angular, Node.js, SQL, Ansible, R, Java, JavaScript, Python, among others
  • Must have a disciplined, methodical, minimalist approach to designing and constructing layered software components that can be embedded within larger frameworks or applications
  • A keen eye for good architecture and the ability to develop new architectures and frameworks
  • Demonstrated experience in all phases of Software Development Lifecycle (plan, design, develop, test, release, maintain and support, decommission)
  • Modern API platform design including how modern UI’s are built consuming services/API’s .
  • Demonstrated strong understanding of Public cloud service offerings (IaaS, PaaS, SaaS services as well product offerings from Azure) and Infrastructure as Code (Container Orchestration, Observability, CI/CD)
  • Demonstrated application of systems thinking and strategic thinking skills. Ability to capture the key elements of a system into a simple abstraction that empowers good decisions.
  • Demonstrated strong understanding of modern data architectures (e.g. event driven architectures, data democratization, platform approaches to support ML/AI at scale, stream processing, and integrating real time analytics into applications)

Leadership Influence:

  • Works with leaders in the IT Function and to understand business strategies and shape technology roadmaps to support those strategies.
  • Provide technical leadership both tactical (day to day activities) and strategic (big picture, vision)

Innovation mindset:

  • Experimentation mindset

Understands how to manage strategic directions / strategies and action them into tasks and deliverables.

Deliver Results:

  • Demonstrated experience leading and delivering small, medium & large /complex enterprise scale projects and how to technically manage all inner technical dependency’s.
  • Demonstrated solid understanding of existing, new and emerging technologies and knows when or if to apply them to achieve business outcomes.

Business Acumen:

  • Demonstrated solid business domain knowledge and financial skills.
  • Demonstrated ability to perform cost benefit analysis at a technical level.
  • Demonstrated strong business negotiation skills, influence, conflict resolution, and resolving technical stalemates.

Required Skills : need to have : api - (need to be able to build and consume services/api's).