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

Jobsultant Solutions

Remote Data Analyst

Dallas, TX · Remote

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

Lorven Technologies

Data Engineer - Remote

Dallas, TX · On-site +1

$105K - $126K/yr

Bachelor's degree in Computer Science, Data Engineering, or a related field * 3+ years of experience in data engineering, building and scaling data-intensive applications * Strong understanding of ...

Owens & Minor

Senior Manager, Data Engineering

Dallas, TX · On-site +1

$140K - $155K/yr

The role is fully remote. Applicants in different states are encouraged to apply. Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

... engineering services industries. XTG is part of the TTI Family of Companies ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

... engineering services industries. XTG is part of the TTI Family of Companies ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

TriOptus LLC

Senior ML Data Engineer - Remote

Plano, TX · On-site +1

$110K - $132K/yr

... Engineering ETL Qualifications 7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML Proven experience managing ...

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 ...

Kemper

Senior Data Engineer

Dallas, TX · Remote

$104K - $142K/yr

... PA, Remote-RI, Remote-VA, St. Louis, Missouri Details Kemper is one of the nation's leading ... Mentor engineering team members,facilitatecode reviews, and promote continuous learning and ...

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 ...

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

$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 · 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 ...

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

Remote Data Engineering information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do remote data engineering jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote data 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 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 Dallas, TX? The most popular types of Data Engineering jobs in Dallas, TX are:
What are popular job titles related to Remote Data Engineering jobs in Dallas, TX? For Remote Data Engineering jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Dallas, TX look for? The top searched job categories for Remote Data Engineering jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Data Engineering jobs? Cities near Dallas, TX with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Dallas, TX as of July 2026, with employment types broken down into 73% Full Time, 7% Part Time, 5% Temporary, and 15% Contract. Highlights an 100% 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 18 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

Apply