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Remote Quality Process Engineer Jobs in Texas (NOW HIRING)

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... Monitor the ingestion process for issues. * Collaborate with the team to design and build ...

ICF

Substation Physical Engineer - REMOTE

Dallas, TX · Remote

$97K - $124K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... You always strive to expand your knowledge and improve work processes to increase quality and ...

KBR, Inc.

Remote Special Process Auditor

Houston, TX · On-site +1

Program Summary Remote Special Process Quality Auditor will have experience in auditing globally ... Bachelor's Degree in Engineering, Business or Technical discipline preferred with applicable ...

KBR

Remote Special Process Auditor

Houston, TX · Remote

Program Summary Remote Special Process Quality Auditor will have experience in auditing globally ... Bachelor's Degree in Engineering, Business or Technical discipline preferred with applicable ...

UnitedHealth Group

Quality Engineer

Plano, TX · Remote

$72K - $130K/yr

... processing and UNIX/Linux environments, including validating job scheduling, file handling ... in QA Testing with IBM Transformation Extender (WTX) maps, including designing, developing ...

Raymond Search Group

Inside Sales Engineer

Houston, TX · On-site +1

$57K - $72K/yr

Onsite/hybrid preferred; fully remote considered for an exceptional candidate; ~15% travel ... Proposal quality, accuracy, and win rate. * Qualified pipeline growth. * Proposal turnaround speed.

USAA

Business Process Owner Lead

Plano, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... engineering/optimization. * Experience in successfully applying quality management, process ...

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All JobsQuality Process Engineer JobsRemote Quality Process Engineer JobsRemote Quality Process Engineer Jobs in Texas

Remote Quality Process Engineer information

What is the difference between Remote Quality Process Engineer vs Remote Quality Assurance Specialist?

AspectRemote Quality Process EngineerRemote Quality Assurance Specialist
Primary FocusDesigning and improving quality processes and workflowsTesting, inspecting, and verifying product quality
Required CredentialsEngineering degree, quality management certifications (e.g., Six Sigma)Quality assurance certifications, testing experience
Work EnvironmentCollaborates with engineering and production teamsWorks closely with testing labs and production
Industry UsageManufacturing, tech, aerospaceSoftware, manufacturing, healthcare

The Remote Quality Process Engineer focuses on developing and optimizing quality systems and processes, while the Remote Quality Assurance Specialist concentrates on testing and verifying product quality. Both roles require quality certifications and often work in similar industries, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Quality Process Engineer jobs in Texas?

The most popular types of Quality Process Engineer jobs in Texas are:

What cities in Texas are hiring for Remote Quality Process Engineer jobs?

Cities in Texas with the most Remote Quality Process Engineer job openings:

Remote Quality Process Engineer jobs near you
Infographic showing various Remote Quality Process Engineer job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Processing Engineer

SpyCloud

Austin, TX • On-site, Remote

$111K - $144K/yr

Full-time

Re-posted 2 days ago

Job description

*The ideal candidate for this role would work hybrid (2 days per week) in our Austin, Texas headquarters. We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter*

We are looking for a passionate Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis techniques, AWS, ETL patterns, and Automation techniques. This is a local or remote role supporting a hybrid workforce with an expected 40 hours per week.

Our Stack:

  • Python
  • Linux
  • Databases: Elasticsearch, SQL, Databricks
  • AWS (EC2, RDS, SQS, S3, Lambda, API Gateway, and more)

What You'll Do:

  • Parse, clean, and transform structured and unstructured datasets to the spycloud schema.
  • Build Python-based automation for the parsing platform.
  • Bring order to dirty and/or unstructured data.
  • Develop ETL-style automation scripts.
  • Monitor the ingestion process for issues.
  • Collaborate with the team to design and build innovative data systems.
  • Analyze data based on the consumption of blogs for the marketing team.
  • Develop processes, standards and CI/CD pipelines to manage our codebase.
  • Leverage AI to help automate parsing dirty datasets

Requirements:

  • 5-7 years of professional experience as a Python developer.
  • A love of working with data.  Familiarity with cleaning/transforming data.
  • Experience building data solutions and automation tools using Python.
  • Proficient in Linux bash/ksh scripting and Regular Expressions.
  • Interest in cybersecurity.
  • Strong understanding of computer science fundamentals (data structures, algorithms, data processing).
  • Experience with relational and NoSQL databases.
  • Excellent communication skills.
  • Great team player.
  • Self-directed, empathetic, and eager to automate repetitive tasks.
  • Able to switch contexts as business needs change.

Nice to Have:

  • Background or strong interest in cybersecurity.
  • Familiarity with Git version control system.
  • Experience with AWS (Compute, Storage, Database).
  • Experience working with Infrastructure as Code (we use Terraform and Ansible).

Base Salary Range: $111,000 - 144,000

The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.

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