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Remote Chemical Process Engineer Jobs in Dallas, TX

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 ... Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake ...

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Remote Chemical Process Engineer information

See Dallas, TX salary details

$45K

$100.2K

$160.3K

How much do remote chemical process engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote chemical process engineer in Dallas, TX is $100,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $113,300.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a remote chemical process engineer?

As a Remote Chemical Process Engineer, your day-to-day tasks often include analyzing process data, designing or optimizing chemical processes, creating technical documentation, and troubleshooting operational issues. You'll regularly use process simulation software and collaborate virtually with cross-functional teams such as project managers, plant operators, and safety specialists. Participation in virtual meetings, providing technical support, and ensuring compliance with safety and environmental regulations are also common parts of the job. This role requires managing your own schedule efficiently while staying responsive to the needs of both internal and external stakeholders.

What are the key skills and qualifications needed to thrive as a remote chemical process engineer?

To thrive as a Remote Chemical Process Engineer, you need a solid background in chemical engineering principles, process design, and troubleshooting, typically supported by a relevant engineering degree and professional certifications like a PE or EIT. Familiarity with process simulation software (such as Aspen Plus or HYSYS), data analysis tools, and remote collaboration platforms is important. Strong problem-solving skills, effective time management, and clear communication are essential for working autonomously and collaborating with distributed teams. These skills ensure efficient process optimization, regulatory compliance, and seamless teamwork despite remote work settings.

What is a remote chemical process engineer?

A Remote Chemical Process Engineer designs, analyzes, and optimizes chemical manufacturing processes while working from a remote location. They use simulation software, data analysis, and virtual collaboration tools to improve efficiency, safety, and sustainability in chemical production. Responsibilities may include process design, troubleshooting, scaling operations, and ensuring regulatory compliance. Remote engineers often coordinate with on-site teams, suppliers, and clients through digital communication. This role requires strong problem-solving skills and expertise in chemical engineering principles to enhance industrial processes effectively.

What are the most commonly searched types of Chemical Process Engineer jobs in Dallas, TX? The most popular types of Chemical Process Engineer jobs in Dallas, TX are:
What are popular job titles related to Remote Chemical Process Engineer jobs in Dallas, TX? For Remote Chemical Process Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Chemical Process Engineer jobs in Dallas, TX look for? The top searched job categories for Remote Chemical Process Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Chemical Process Engineer jobs? Cities near Dallas, TX with the most Remote Chemical Process Engineer job openings:
Remote Chemical Process Engineer jobs near you
Infographic showing various Remote Chemical Process Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $100,233 per year, or $48.2 per hour.

Senior Data Engineer - Remote

Vytwo

Prosper, TX • Remote

$55 - $60/hr

Full-time

Re-posted 9 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.