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Remote Data Engineering Jobs in Argyle, TX (NOW HIRING)

Stryker

Senior Lead Data Engineer (Remote)

Dallas, TX · On-site +1

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives ...

Vytwo

Senior Data Engineer - Remote

Prosper, TX · Remote

$55 - $60/hr

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary ... Lead technical design sessions and code reviews, promoting engineering best practices, reusability ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$117K - $140K/yr

The ideal candidate will have at least 5 years of experience in data engineering, a deep understanding of distributed systems, and proficiency with AWS services and tools like Step Functions, Lambda ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

The ideal candidate will have at least 5 years of experience in data engineering, a deep understanding of distributed systems, and proficiency with AWS services and tools like Step Functions, Lambda ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$109K - $131K/yr

The ideal candidate will have at least 5 years of experience in data engineering, a deep understanding of distributed systems, and proficiency with AWS services and tools like Step Functions, Lambda ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

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 ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

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 ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

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 ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

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 ...

Confie

Data Transformation Engineer

Addison, TX · On-site +1

$130K - $150K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... in data engineering, continuously improving the team's technical knowledge and skills On-call ...

IT America Inc

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and a contract to hire. Must be a Visa Independent ...

CVS Health

Sr. Data Engineer

Irving, TX · On-site +1

$114K - $185K/yr

Hybrid position: remote work permitted but must live within commuting distance of designated office ... Writing Extract/Transform/Load (ETL) processes; and Data analytics, data engineering, and data ...

CVS Health

Data Engineer

Irving, TX · On-site +1

$141K - $144K/yr

... engineering problems and develop, build and manage large-scale data structures, pipelines and ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

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Showing results 1-20

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Argyle, TX

Remote Data Engineering information

See Argyle, TX salary details

$42.4K

$123.7K

$169.2K

How much do remote data engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data engineering in Argyle, TX is $123,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $131,100.00 per year, depending on experience, location, and employer.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data engineer?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are popular job titles related to Remote Data Engineering jobs in Argyle, TX?

For Remote Data Engineering jobs in Argyle, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in Argyle, TX look for?

The top searched job categories for Remote Data Engineering jobs in Argyle, TX are:

What cities near Argyle, TX are hiring for Remote Data Engineering jobs?

Cities near Argyle, TX with the most Remote Data Engineering job openings:

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Argyle, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $123,673 per year, or $59.5 per hour.

Sr. Data Engineer - Data Platform and Data Engineering - Remote US

Triumph Financial

Dallas, TX • On-site, Remote

$130K - $201K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Key responsibilities

  • Design, build, and improve data pipelines and systems that support business applications, analytics, and decision-making.

  • Partner with analytics and business teams to improve data models and ensure data quality and reliability.

  • Develop and maintain data integrations, data quality frameworks, and technical documentation, while providing guidance on data engineering best practices.

Job description

Join Triumph!

At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. That's why we're looking for passionate, innovative, solutions-oriented people to join our team. We thrive on providing exceptional customer service and we look for team members with an entrepreneurial spirit and a passion to build successful partnerships with our clients. Because at the end of the day our goal is to help our partners businesses run better.

Position Summary:

Help shape how data powers better decisions at Triumph. As a Senior Data Engineer, you'll design, build, and improve the data pipelines and systems that support business applications, analytics, and decision-making across the organization. There is a fair amount of platform would that you'll do as well. You'll combine hands-on technical work with collaboration and strategic thinking, helping teams get the reliable, accessible data they need while guiding best practices across the data engineering team.

Day in the Life

You'll spend your day solving interesting data challenges, building scalable pipelines, and partnering with teams across the organization to turn business needs into effective data solutions. You'll have the opportunity to work hands-on while also helping shape the long-term direction of our data platform. Whether you're troubleshooting an issue, improving a data model, or collaborating on a new integration, you'll play an important role in keeping our data reliable, available, and useful.

What You'll Be Doing

  • Define and manage data assets and develop processes to populate data models.

  • Build and maintain scalable data pipelines and integrations as data volume and complexity grow.

  • Partner with analytics and business teams to improve data models and make information easier to access and use.

  • Develop data quality processes and monitoring to help ensure data is accurate, reliable, and available.

  • Design, develop, and maintain data integrations and data quality frameworks.

  • Analyze data to troubleshoot issues and help teams resolve them efficiently.

  • Write unit and integration tests to support reliable, high-quality solutions.

  • Document technical work and contribute to engineering resources and best practices.

  • Work with business and engineering teams to help shape the long-term data platform strategy.

  • Provide technical guidance and promote effective data engineering practices across the team.

  • Demonstrate Triumph's values and core tenets.

  • Take on other responsibilities as needed.

What Makes You a Great Fit

  • Bachelor's degree in a related field preferred; equivalent experience will be considered.

  • 3+ years of Python development and 5+ years of SQL experience.

  • 5+ years of experience with data modeling, schema design, and data processing systems.

  • Experience with Snowflake, GitHub, and ClickUp or a similar project management tool.

  • Experience with cloud technologies, preferably AWS.

  • Strong analytical, problem-solving, and communication skills.

  • Comfortable working independently and collaborating across teams.

  • Self-motivated, adaptable, detail-oriented, and able to manage multiple priorities.

  • Experience with Agile software development practices.

Call to Action

Apply now and take the next step in your career. We're excited to meet you!

#LI-BA1

Compensation Range

Annual Salary: $130,205.00 - $201,818.00

***Location: Dallas, TX or Remote U.S. excluding the following states: AK, DE, RI, VT, WY ***

We offer Medical, Dental, Vision, Paid Time Off, 401k and much more.

Go on. Do it. Apply Today!

Apply