2

Remote Data Science Civil Engineering Jobs in Dallas, TX

Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus ... Data science experience * Retail experience * SQL Coding, Microsoft Access, Macro building ...

Civil Engineering Tutor

Irving, TX · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Civil Engineering Tutor

Dallas, TX · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Civil Engineering Tutor

Mckinney, TX · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Civil Engineering Tutor

Allen, TX · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Civil Engineering Tutor

Arlington, TX · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... Analyze data and review project work products, including site specific technical data, engineering ...

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value. * Lead a team of data scientists, driving ...

next page

Showing results 1-20

Remote Data Science Civil Engineering information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do remote data science civil engineering jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote data science civil engineering in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

Can you make $500,000 as a civil engineer?

Remote data science roles in civil engineering are uncommon, and salaries reaching $500,000 are rare in the field. High earnings typically require extensive experience, specialized skills, management positions, or working in high-cost regions. Most civil engineers earn significantly less, with top salaries often exceeding $100,000 annually.

What is a remote data science civil engineering job?

A remote data science civil engineering job combines the principles of civil engineering with data science techniques, allowing professionals to analyze, model, and interpret complex engineering data from a remote location. These roles typically involve tasks such as data analysis, predictive modeling, simulation, and optimization to improve infrastructure design, construction, and maintenance. Professionals in this field use programming languages, statistical methods, and engineering software to solve real-world civil engineering problems, all while working outside of a traditional office environment.

What is the difference between Remote Data Science Civil Engineering vs Remote Structural Engineering?

AspectRemote Data Science Civil EngineeringRemote Structural Engineering
Required CredentialsBachelor's or Master's in Data Science, Civil Engineering, or related fields; certifications in data analysis or civil engineeringBachelor's or Master's in Civil or Structural Engineering; PE license may be preferred
Work EnvironmentData analysis, modeling, and reporting using software like Python, R, or SQL; collaboration via online toolsDesign, analysis, and review of structural projects; remote collaboration with teams and clients
Employer & Industry UsageTech firms, consulting agencies, government agenciesConstruction firms, engineering consultancies, government agencies

Remote Data Science Civil Engineering focuses on data analysis and modeling within civil engineering projects, while Remote Structural Engineering emphasizes designing and analyzing structural components remotely. Both roles require engineering credentials but differ in daily tasks and software tools used.

How does a remote data science role in civil engineering typically interact with on-site engineering teams to ensure project alignment?

In a remote data science position within civil engineering, frequent collaboration with on-site engineering teams is essential to ensure data-driven insights align with practical project requirements. This is commonly achieved through regular video meetings, shared project management tools, and clear documentation of data methodologies and results. Remote data scientists often participate in cross-functional team discussions to translate complex analyses into actionable recommendations, bridging the gap between data insights and field implementation. Effective communication and proactive engagement are key to overcoming challenges posed by physical distance.

Can a civil engineer become a data scientist?

A civil engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through online courses or advanced degrees. Their background in engineering and data analysis can provide a strong foundation for transitioning into data science roles, especially with experience in data management tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive as a Remote Data Science Civil Engineer, and why are they important?

To thrive as a Remote Data Science Civil Engineer, you need a solid background in civil engineering principles, data analysis, and proficiency with programming languages like Python or R, often supported by an engineering degree and relevant certifications. Familiarity with software such as AutoCAD, GIS tools, data visualization platforms, and cloud-based collaboration systems is typically required. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively across virtual teams and translate data insights into practical engineering solutions. These capabilities are essential for leveraging data to drive innovation and efficiency in civil engineering projects while working remotely.

Can data science jobs be done remotely?

Data science jobs, including roles related to civil engineering, are often performed remotely, especially when tasks involve data analysis, modeling, and programming that can be done with a computer and internet connection. Many companies offer remote positions for data scientists, requiring skills in tools like Python, R, and cloud platforms, and may involve collaboration through virtual communication platforms.

What engineers make $500,000?

Senior civil engineers with extensive experience, specialized skills, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in consulting or managerial positions. Data scientists and certain software engineers in high-demand industries may also reach this level with bonuses and stock options. Compensation varies based on location, industry, and individual expertise.
What are the most commonly searched types of Data Science Civil Engineering jobs in Dallas, TX? The most popular types of Data Science Civil Engineering jobs in Dallas, TX are:
Infographic showing various Remote Data Science Civil Engineering job openings in Dallas, TX as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Remote Data Analyst

Jobsultant Solutions

Dallas, TX • Remote

Contractor

Re-posted 15 days ago


Job description

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst at a global leader in retail pharmacy for a 6-month contract with the opportunity for extension or conversion.

Summary:

The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building for the Walgreens Merchandising team. They support a team of 100+ merchants and 40+ planners to optimize performance of the Walgreens Front End (non-Pharmacy) businesses.

Work Environment:

  • 100% remote - must work in CST
  • 8am-5pm (9 hour day with one hour lunch break 12pm-1pm).
    • The hours can be flexible per above but minimally need 30 hours a week in order to fulfill the business needs

Responsibilities:

  • Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs
  • Item level historical analysis and recapping
  • Item level future looking forecast
  • Scope will be thousands of Own Brand items (at item level)
  • System/ tool used is Excel
  • Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps

Top Must-Have Skills:

  • Bachelors Degree and at least 3-5 year of experience in one or more of the following: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising
  • Minimum 3 years experience in data analytics or other related field with strong understanding of retail merchandising basics (i.e. category management) and merchandising organization structures and processes
  • Outstanding analytical and problem-solving skills partnered with storytelling finesse
  • Ability to conduct complex quantitative analysis and build analytical models using Microsoft Excel
  • Ability to communicate effectively and succinctly both verbally and in writing via Microsoft PowerPoint
  • Ability to manage and prioritize multiple assignments and meet tight deadlines
  • Ability to develop effective working relationships with Merchandising, Planning, Finance and other stakeholders
  • Ability to work independently and adapt to changing work priorities
  • Retail math background; skills such as item level forecasting based on demand patterns or sell through/ sales/ profit goals, knowledge of sales by type and AUR impacts, all inventory and sales metrics
  • Intermediate/Advanced level skill in Microsoft Excel (for example: using SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) - CRITICAL SKILL NEEDED FOR ROLE, most work will be done in excel
  • Intermediate level skill in Microsoft Word and PowerPoint

Top Nice-to-Have Skills:

  • MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus
  • Data science experience
  • Retail experience
  • SQL Coding, Microsoft Access, Macro building

Education / Experience Requirements:

  • 3-5 year experience in Analytics or Data Science, Merchandising background