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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 ...

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 ...

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 Aug 9, 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.

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?

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.

Can you work remotely as a data engineer?

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

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 62% Full Time, and 38% Part Time. Highlights an 100% Remote job distribution, with an average salary of $118,793 per year, or $57.1 per hour.

Principal Forward Deployed Engineer (FDE)

NTT DATA Services

Plano, TX • On-site, Remote

$158K - $367K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 223 rated it services


Job description

Req ID: 381439 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Principal Forward Deployed Engineer (FDE) to join our team in Plano, Texas (US-TX), United States (US).


The Principal Forward-Deployed Engineer is a client-facing builder within the AI GTM organization responsible for rapidly creating demos, prototypes, proofs of concept, and MVPs that make AI opportunities tangible for clients and account teams. This role combines hands-on engineering, AI fluency, product thinking, and field presence to translate client problems into working technical concepts using models, agents, data, workflows, integrations, and user experiences.

Key Responsibilities:
- Rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
- Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.
- Support discovery workshops, executive demos, technical deep dives, proof-of-value sessions, and partner enablement activities.
- Partner with Solution Architects to ensure prototypes align to scalable architecture, delivery paths, security expectations, and operational requirements.
- Work with ecosystem partners to showcase differentiated capabilities across OpenAI, Anthropic, Mistral, Google/Gemini, cloud, data, and enterprise platforms.
- Package prototypes into reusable assets, demo scripts, technical collateral, setup guides, reference architectures, and handoff materials.
- Validate technical feasibility, data dependencies, integration complexity, user experience assumptions, and implementation risks early in the sales cycle.
- Help accelerate opportunity conversion by making AI solutions concrete, credible, and client-specific.
- Contribute lessons learned, reusable code, prompts, agent patterns, and implementation guidance back into the global FDE knowledge base.

Success Measures:
- Pursuit deal volume, measured as total TCV value of AI deals where the FDE supported.
- Pursuit win rate for AI deals where the FDE supported.
- Prototype-to-pipeline conversion, measured by demos, prototypes, or POCs that convert into qualified pipeline, funded POCs, or downstream implementation work.
- Utilization, reuse of technical assets, demo quality, and stakeholder feedback.

Basic Qualifications:
- 12+ years of experience in software engineering, AI engineering, data engineering, ML engineering, solution engineering, technical consulting, or related hands-on technical roles.
- 2+ years of experience building or deploying AI, ML, GenAI, LLM, RAG, agentic AI, data science, or automation solutions.
- 2+ years of hands-on experience with programming languages and frameworks such as Python, JavaScript/TypeScript, FastAPI, Flask, React, LangChain, LlamaIndex, PyTorch, TensorFlow, or similar technologies.
- 2+ years of experience integrating APIs, data sources, model providers, workflow tools, and cloud services into working demos or prototypes.
- Bachelor's degree or equivalent work experience.

Preferred Skills:
- Experience with OpenAI, Anthropic, Mistral, Google/Gemini, Azure, AWS, GCP, Databricks, Snowflake, vector databases, model registries, and MLOps/LLMOps tooling.
- Experience working directly with clients, sales teams, or product teams to rapidly prototype solutions under ambiguous conditions.
- AI/ML, cloud, data engineering, or software engineering certifications.
- Strong technical curiosity, client empathy, communication, bias for action, collaboration, and ability to explain complex technical concepts clearly.
- Ability to travel as required for client and internal engagements.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $158,962.00-$367,969.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. 

This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967