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Remote Environmental Engineering Jobs in Dallas, TX

Lead technical design sessions and code reviews, promoting engineering best practices, reusability ... and environment management * Monitor and troubleshoot production data pipelines, proactively ...

Issues may span application functionality, system environments, and end-user challenges, requiring ... We provide innovative end-to-end CIS and ERP solutions that were engineered from the ground up to ...

Senior Engineer - Wind

Dallas, TX ยท Remote

$93K - $140K/yr

We offer the flexibility to work from home or in an office environment on your own terms. Braun ... Manage routine to complex geotechnical engineering projects including project scope, schedule ...

... Remote Power Panels (RPPs), busway systems, rack-level electrical distribution, grounding and ... Lead engineering efforts supporting NVIDIA GPU clusters, AI training environments, machine learning ...

Software Engineer (Remote)

Allen, TX ยท Remote

$95K - $115K/yr

... engineering experience operating within an agile team ecosystem (experience in multi-client agency or SaaS environments is a plus). * Technical Stack Proficiency: Solid proficiency in C# languages ...

Showing results 41-60

Remote Environmental Engineering information

See Dallas, TX salary details

$30.7K

$59.1K

$100.9K

How much do remote environmental engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote environmental engineering in Dallas, TX is $59,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $70,200.00 per year, depending on experience, location, and employer.

What is remote environmental engineering?

A Remote Environmental Engineering job involves designing, assessing, and implementing environmental solutions while working from a remote location. Engineers in this role focus on sustainability, pollution control, environmental impact assessments, and regulatory compliance using digital tools and remote collaboration platforms. Common tasks include data analysis, modeling, and report writing, often in industries like energy, water resources, and waste management. Remote work allows professionals to contribute to environmental projects without being physically present at job sites.

What does a remote environmental engineer do?

In a remote environmental engineering role, you can expect to spend your days conducting data analysis, preparing technical reports, and developing environmental assessment or remediation plans using digital tools. Collaboration with team members, clients, and regulatory agencies often happens through video calls, emails, and project management platforms. You may also be responsible for modeling environmental impacts, reviewing regulatory compliance documents, and advising on sustainable design practices. While fieldwork may occasionally be required, most work is completed independently from your remote location. This structure allows for flexibility while maintaining a high level of technical and collaborative output.

What skills and qualifications are needed for remote environmental engineering?

To thrive as a Remote Environmental Engineer, you need a solid foundation in environmental science and engineering principles, typically with a bachelor's or master's degree in environmental engineering or a related field. Familiarity with tools such as GIS software, modeling applications (like AutoCAD or MATLAB), and regulatory frameworks (such as EPA standards) is often required, along with relevant certifications like Professional Engineer (PE) licensure. Strong communication, project management, and problem-solving skills are important, especially for collaborating with distributed teams and stakeholders virtually. These skills ensure effective analysis, compliance, and the successful execution of projects while working remotely.

Can remote environmental engineers work remotely?

Remote environmental engineers can work remotely, especially for tasks such as data analysis, report writing, and project planning that do not require on-site presence. However, some roles may require fieldwork, site inspections, or laboratory work, which necessitate physical presence. The feasibility depends on the specific job responsibilities and employer policies.

Is there a demand for remote environmental engineers?

Remote environmental engineering is in increasing demand as companies seek sustainable solutions and regulatory compliance. Professionals with skills in environmental assessment, data analysis, and environmental management tools are especially sought after, with many roles offering flexible or remote work options due to the nature of the field.

What are the most commonly searched types of Environmental Engineering jobs in Dallas, TX?

The most popular types of Environmental Engineering jobs in Dallas, TX are:

What are popular job titles related to Remote Environmental Engineering jobs in Dallas, TX?

For Remote Environmental Engineering jobs in Dallas, TX, the most frequently searched job titles are:

What cities near Dallas, TX are hiring for Remote Environmental Engineering jobs?

Cities near Dallas, TX with the most Remote Environmental Engineering job openings:

Infographic showing various Remote Environmental Engineering job openings in Dallas, TX as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $59,138 per year, or $28.4 per hour.

Senior Data Engineer - Remote

Vytwo

Prosper, TX โ€ข Remote

$55 - $60/hr

Full-time

Re-posted 20 days ago


Job description

Role: Senior Data Engineer
Remote Work
*Must be a US Citizen* & have a USA Passport
Primary Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads.
  • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
  • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
  • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
  • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
  • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
  • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
  • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
  • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
  • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
  • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
  • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

  • 7+ years of experience in data engineering, software engineering, or similar disciplines
  • Hands-on experience with Databricks or Snowflake
  • Experience with orchestration tools such as Apache Airflow
  • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
  • Advanced SQL skills and experience with OLTP and OLAP data modeling
  • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
  • Familiarity with data governance tools, especially Microsoft Purview
  • Solid programming expertise in Python, PySpark, or similar languages
  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment
  • Must be a US Citizen
Preferred Qualifications:

  • Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
  • Experience with containerization (Docker, Kubernetes) for data workloads
  • Experience supporting machine learning workflows or analytical data science pipelines
  • Knowledge of distributed computing concepts and performance tuning

This is a remote position.