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

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Sr. Data Architect (Remote)

Dallas, TX · Remote

$167K - $184K/yr

Use Pandas and other AWS-native tooling for data engineering and analysis * Architect data ... Remote -- work environment is at home. Occasional flexible hours may be required to support cross ...

Posted today

Be Seen First

Sr. Data Architect (Remote)

Dallas, TX · Remote

$167K - $184K/yr

Use Pandas and other AWS-native tooling for data engineering and analysis * Architect data ... Remote -- work environment is at home. Occasional flexible hours may be required to support cross ...

Posted today

Databricks Architect

Dallas, TX · Remote

$66.25 - $87/hr

Remote - Dallas, Texas Role/Responsibilities * Lead the data solutions stream within the program ... Subject Matter Expert (SME) level experience in Cloud Engineering, specifically with Databricks ...

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Lead metric alignment conversations with Data, Product, and Engineering; represent Support ...

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

... data scientists, and AI engineers to translate knowledge into formal models. - Govern ontology ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Showing results 41-60

Remote Data Engineer information

See Denton, TX salary details

$41.7K

$121.6K

$166.4K

How much do remote data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data engineer in Denton, TX is $121,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $128,900.00 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 Denton, TX?

The most popular types of Data Engineer jobs in Denton, TX are:

What are popular job titles related to Remote Data Engineer jobs in Denton, TX?

For Remote Data Engineer jobs in Denton, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Denton, TX look for?

The top searched job categories for Remote Data Engineer jobs in Denton, TX are:

What cities near Denton, TX are hiring for Remote Data Engineer jobs?

Cities near Denton, TX with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Denton, TX as of August 2026, with employment types broken down into 70% Full Time, 10% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,623 per year, or $58.5 per hour.

Role: Sr. GCP Architect

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Frisco, TX • Remote

$75/hr

Full-time

Re-posted 19 days ago


Job description

Role: Sr. GCP Architect || Don't share below 10yrs profiles 
Location: Remote
Duration: Long term
Visa: USC, GC, GCEAD, H4 EAD, H1B 
Technical Skills and Qualifications:
15+ years of experience across technology architecture, solution design and enterprise consulting roles
Deep Understanding of GCP Services: Needs to possess in-depth knowledge and hands-on experience with a wide range of GCP services across compute (Compute, Kubernetes Engine & Cloud Functions), storage (Cloud Storage, Persistent Disk, Filestore), networking (VPC, Load Balancing, Cloud DNS, Cloud CDN), databases (Cloud SQL, Cloud Spanner, Bigtable), data analytics (BigQuery, Dataflow, Dataproc), AI/ML (Vertex AI), security (Cloud IAM, Security Command Center), and more. 
Google Pub/Sub
BigQuery
Google Dataform
Data ingestion to Big Query experience
Google Cloud Storage
Cloud Composer
GitHub
SQL
Software SDLC
Google Cloud Data Engineer

This is a remote position.