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Remote Data Engineering Jobs in Texas (NOW HIRING)

H R PUNDITS INC

Data Engineer

Carrollton, TX · On-site +1

$120K/yr

Data Engineer Location: Lewisville TX Onsite/ Remote: Day 1 Onsite at customer location Automotive domain Must. Job Functions / Responsibilities Candidate must have Battery Electric Vehicle related ...

TEXAS RESEARCH INTERNATIONAL INC

Cloud Data Engineer

Austin, TX · Remote

$55.25 - $73.75/hr

Open for Remote We are aggressively hiring Cloud Data Engineers with excellent background in Data Engineering and architecture. We need someone with strong Microsoft Cloud experience, including Azure ...

Loxo

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data ... Progressive culture * 100% flexibility in living and working from anywhere you want * 100% remote ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

This is a fully remote position. Face to face communication is important to us, so we have ... engineering * Strong SQL skills * Experience with ETL/ELT techniques * Strong sense for data ...

Wondr Health

Data Engineer

Dallas, TX · On-site +1

$100K - $120K/yr

Engineering POSITION: Data Engineer REPORTS TO: Director, Engineering SUPERVISES: None JOB CLASS ... General office working conditions can be remote work from home or in the office. Each department ...

NEP GROUP

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote ... data engineering with strong Python, SQL, and Spark skills * Hands-on experience building and ...

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 ...

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 ...

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All JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Texas

Remote Data Engineering information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do remote data engineering jobs pay per year?

As of Jul 5, 2026, the average yearly pay for remote data engineering in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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 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, and why are they important?

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.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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 the most commonly searched types of Data Engineering jobs in Texas? The most popular types of Data Engineering jobs in Texas are:
What are popular job titles related to Remote Data Engineering jobs in Texas? For Remote Data Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Texas look for? The top searched job categories for Remote Data Engineering jobs in Texas are:
What cities in Texas are hiring for Remote Data Engineering jobs? Cities in Texas with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Data Lead & Pre-Sales - Remote - USA

Data Lead & Pre-Sales - Remote - USA

FullStack Labs

El Paso, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We are looking for an entrepreneurial, client-facing Data Competency Lead to spearhead and scale our newly formalized Data Competency. This is a high-impact, hybrid role, part technical architect, part pre-sales strategist, and part internal practice leader. You will act as the face of our data offerings to executive-level clients while simultaneously serving as the technical north star for our internal data engineering talent.
As a key leader in our competency-driven growth strategy, you will bridge the gap between complex data technologies and business solutions. You'll be responsible for defining our data engineering standards, collaborating with elite technology partners like Snowflake and Databricks, and turning technical pre-sales conversations into multi-million dollar delivery engagements.
What We Are Looking For
  • 10+ years of experience in deep data architecture, data engineering, or technical delivery management within a digital services, tech consulting, or advanced software engineering environment.
  • Proven Pre-Sales Track Record: Clear experience supporting enterprise-level sales cycles, scoping complex technical data initiatives, and structuring advisory or implementation projects.
  • Data Stack Fluency: Deep, hands-on architectural experience with modern cloud data platforms, specifically Databricks and Snowflake, alongside a strong foundational command of enterprise databases and cloud infrastructure (AWS, Azure, or GCP).
  • People & Practice Leadership: Demonstrated success leading a pool of technical professionals, defining engineering competencies, and setting training standards.
  • Executive-Level Communication: Exceptional ability to translate sophisticated data concepts into high-level business value for non-technical stakeholders, while retaining the technical credibility to go deep with client architects.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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