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Remote Data Engineer Jobs in Grand Prairie, TX (NOW HIRING)

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client ...

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Sr. Data Engineer

Dallas, TX · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Sr. Data Engineer

Dallas, TX · Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Principal Data Engineer

Westlake, TX · On-site +1

$109K - $132K/yr

Designs, develops, and implements scalable data engineering, analytics and reporting solutions to support business needs. Builds robust data infrastructure and reporting platforms, using Oracle SQL ...

Data Engineer II

Dallas, TX · On-site +1

$113K - $136K/yr

Lantern is looking for a Data Engineer II to join our Data Engineering team. The ideal candidate will have solid experience building data pipelines, working with batch processing frameworks, and ...

Senior Data Engineer

Dallas, TX · On-site +1

$104K - $142K/yr

Senior Data Engineer Location: Dallas, TX or Mountain View, CA Duration: Long Term Contract As part of the Mail Analytics Data Engineering team, you will be working on large-scale batch pipelines ...

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

Showing results 21-40

Remote Data Engineer information

See Grand Prairie, TX salary details

$42.1K

$122.8K

$168K

How much do remote data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote data engineer in Grand Prairie, TX is $122,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $130,200.00 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.

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 are the most commonly searched types of Data Engineer jobs in Grand Prairie, TX? The most popular types of Data Engineer jobs in Grand Prairie, TX are:
What are popular job titles related to Remote Data Engineer jobs in Grand Prairie, TX? For Remote Data Engineer jobs in Grand Prairie, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Grand Prairie, TX look for? The top searched job categories for Remote Data Engineer jobs in Grand Prairie, TX are:
What cities near Grand Prairie, TX are hiring for Remote Data Engineer jobs? Cities near Grand Prairie, TX with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Grand Prairie, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,783 per year, or $59 per hour.

Data Engineer

Protagona

Dallas, TX • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago


Job description

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client engagements cover a wide variety of business requirements and require our engineers to adapt quickly and stay on top of recent cloud technology trends. Candidates should be able to identify and remediate issues within cloud-based systems, based on their knowledge of industry standards and best practices.
Responsibilities
  • Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management 
  • Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements
  • Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution
  • Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming
  • Develop data pipelines / APIs using a variety of tools, including but not limited to Python, SQL, Spark and various AWS services
  • Use an analytical, data-driven approach to drive a deep understanding of fast changing business 
  • Build large-scale batch and real-time data pipelines with data processing frameworks in AWS
  • Moving data from on-prem to cloud and cloud data conversions
Desired Skills & Experience
  • Experience in data engineering with an emphasis on data pipelines, analytics and reporting
  • Exposure to the AWS Cloud Platform
  • Experience in SQL, data transformations, and troubleshooting across at least one database Platform (Redshift, Amazon RDS, Cassandra, Snowflake, PostgreSQL, Databricks, etc.)
  • Experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines
  • Experience in a scripting languages such as Python
  • Experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
Nice to Haves
  • AWS Certification - Solutions Architect Pro or Data Specialty
  • Machine Learning experience
  • Advanced GenAI experience


Compensation:
The expected base salary range for this position is $115,000 – $130,000 USD annually, plus eligibility for an annual performance bonus.

Actual compensation will depend on experience, skill set, and location.

Benefits:
We offer a comprehensive benefits package that includes medical, dental, and vision coverage, and paid time off.

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