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

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term contract Job Summary: We're looking for a dynamic data engineer with Apache Spark and AWS experience ...

Here is the other role Client is OneMain Financial Group This role is a Remote role But the ... Data Engineer will report to the Marketing Technology (MarTech) team and will support the ...

New

Here is the other role Client is OneMain Financial Group This role is a Remote role But the ... Data Engineer will report to the Marketing Technology (MarTech) team and will support the ...

New

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Snowflake Developer - ll - Dallas, TX

Dallas, TX · Remote

$113K - $136K/yr

The candidate should have strong expertise in Snowflake, SQL, data modeling, cloud technologies, and modern data engineering practices. This role requires close collaboration with business ...

Showing results 41-60

Remote Data Engineering information

See Prosper, TX salary details

$40.8K

$118.8K

$162.6K

How much do remote data engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data engineering in Prosper, TX is $118,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $125,900.00 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 the most commonly searched types of Data Engineering jobs in Prosper, TX?

The most popular types of Data Engineering jobs in Prosper, TX are:

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

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

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

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

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

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

Infographic showing various Remote Data Engineering job openings in Prosper, 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 $118,793 per year, or $57.1 per hour.

Staff Technology Engineer-Databricks (Remote/Hybrid)

State Farm

Richardson, TX • On-site, Remote

$189K - $306K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago


State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,564 frontline employees who took The Breakroom Quiz

241st of 315 rated insurance


Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. We're moving with urgency to become a Next Gen Good Neighbor, with technology that strengthens human connections and enhances the customer experience. As an employee, you'll spend less time navigating systems and more time applying judgment, empathy, and expertise in the moments that matter most.

REMOTE: Qualified candidates (outside of hub locations listed below) may be considered for remote work arrangements based on where a candidate currently resides or is currently located.

HYBRID: Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.
HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

SPONSORSHIP:  Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.


Responsibilities

The Data Engineering organization builds and operates the trusted data platforms, pipelines, and services that power analytics, reporting, operational processes, and data-driven decision-making across the company.

As a Staff Technology Engineer, you will serve as a senior technical leader responsible for designing scalable data solutions, establishing engineering standards, and guiding complex initiatives from strategy through production. You will collaborate with engineers, architects, product partners, analysts, and business stakeholders to translate business needs into secure, reliable, and maintainable data capabilities. You will also mentor engineers, influence the technical roadmap, and improve engineering practices across teams.

This role offers the opportunity to solve high-impact data challenges, shape the future of our data ecosystem, and influence technology decisions across the organization. Your contributions will help make data easier to discover, trust, govern, and use while improving the scalability, reliability, and efficiency of our platforms.


Qualifications

We Are Seeking Candidates With:

  • Data engineering expertise: Demonstrated experience designing and building scalable data pipelines, data platforms, and batch or real-time processing solutions.
  • Technical architecture and systems thinking: Ability to lead solution design, evaluate technical tradeoffs, and create secure, resilient, maintainable architectures across complex systems.
  • Strong software engineering practices: Advanced proficiency with relevant programming and data technologies—such as Python, SQL, cloud services, distributed processing, APIs, testing, CI/CD, and infrastructure automation.
  • Technical leadership and influence: Proven ability to lead complex, cross-team initiatives, establish engineering standards, mentor other engineers, and influence decisions without relying on direct authority.
  • Communication and business partnership: Ability to translate business requirements into technical solutions and communicate complex concepts clearly to both technical and nontechnical stakeholders.
  • Strong Databricks expertise and experience supporting digital marketing use cases.

Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential yearly incentive pay up to 20% of base salary
  • For Los Angeles candidates: Pursuant to the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment qualified applicants with criminal histories.
  • For San Francisco candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
  • For Colorado, Hawaii and Washington State candidates:  Salary Range: $166,650 - $269,500
  • For California, New York, and CT candidates: Potential salary range: $189,375-$306,250

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

Qualifications:

We Are Seeking Candidates With:

  • Data engineering expertise: Demonstrated experience designing and building scalable data pipelines, data platforms, and batch or real-time processing solutions.
  • Technical architecture and systems thinking: Ability to lead solution design, evaluate technical tradeoffs, and create secure, resilient, maintainable architectures across complex systems.
  • Strong software engineering practices: Advanced proficiency with relevant programming and data technologies—such as Python, SQL, cloud services, distributed processing, APIs, testing, CI/CD, and infrastructure automation.
  • Technical leadership and influence: Proven ability to lead complex, cross-team initiatives, establish engineering standards, mentor other engineers, and influence decisions without relying on direct authority.
  • Communication and business partnership: Ability to translate business requirements into technical solutions and communicate complex concepts clearly to both technical and nontechnical stakeholders.
  • Strong Databricks expertise and experience supporting digital marketing use cases.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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