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Remote Digital Signal Processing Engineer Jobs in Texas

Data Processing Engineer

Austin, TX ยท On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... We are looking for a passionate Security Data Analyst/Python Developer to help us parse, transform ...

Data Processing Engineer

Austin, TX ยท On-site +1

$111K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

RTL Design Engineer

Richardson, TX ยท On-site +1

$122K/yr

... digital and mixed-signal systems. Location: Richardson, TX (Hybrid, Remote considered based on ... Develop, integrate, and debug Verilog/SystemVerilog RTL for digital blocks, processing logic ...

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Remote Digital Signal Processing Engineer information

What is a remote digital signal processing engineer?

A Remote Digital Signal Processing (DSP) Engineer is a professional who designs, develops, and implements algorithms and systems for processing digital signals such as audio, video, radar, or sensor data, while working from a remote location. They use mathematical and computational techniques to analyze and manipulate signals to achieve desired outcomes, such as noise reduction, data compression, or feature extraction. Remote DSP Engineers typically collaborate with teams using digital tools, contribute to product development, and may work in industries such as telecommunications, audio engineering, medical imaging, or defense. Their role often involves programming, simulation, and testing of algorithms using languages like MATLAB, Python, or C/C++.

What are the key skills and qualifications needed to thrive as a remote digital signal processing engineer?

To thrive as a Remote Digital Signal Processing (DSP) Engineer, you need a solid background in electrical engineering, mathematics, and DSP theory, often supported by a bachelor's or master's degree in a related field. Familiarity with tools such as MATLAB, Python, C/C++, and DSP development environments, as well as experience with relevant certifications, is essential. Strong problem-solving abilities, self-motivation, and effective remote communication are standout soft skills for this role. These skills ensure accurate signal analysis, efficient project delivery, and seamless collaboration with distributed engineering teams.

What are some common challenges faced by remote digital signal processing engineers and how can they be addressed?

Remote Digital Signal Processing (DSP) Engineers often face challenges such as effective real-time collaboration with cross-functional teams, accessing specialized hardware for testing, and managing complex project documentation. To address these, many teams use collaborative platforms for code reviews, version control, and communication, as well as remote access to lab equipment or simulation tools. Proactive communication and clear documentation are essential for staying aligned with team goals and timelines, enabling remote DSP engineers to contribute effectively despite geographical distance.

What is the difference between Remote Digital Signal Processing Engineer vs Remote Audio Signal Processing Engineer?

AspectRemote Digital Signal Processing EngineerRemote Audio Signal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of DSP algorithmsBachelor's or Master's in Audio Engineering, Electrical Engineering, or related fields; expertise in audio processing
Work EnvironmentRemote, often in tech or telecommunications companiesRemote, mainly in music, media, or audio technology companies
Industry UsageTelecommunications, defense, consumer electronicsMusic production, broadcasting, audio hardware/software

The main difference is that Remote Digital Signal Processing Engineers focus on a broad range of signals like radio, radar, or telecommunications, while Remote Audio Signal Processing Engineers specialize in audio signals for music, media, and broadcasting. Both roles require strong DSP knowledge and often work remotely in tech-driven industries.

What are the most commonly searched types of Digital Signal Processing Engineer jobs in Texas?

The most popular types of Digital Signal Processing Engineer jobs in Texas are:

What job categories do people searching Remote Digital Signal Processing Engineer jobs in Texas look for?

The top searched job categories for Remote Digital Signal Processing Engineer jobs in Texas are:

What cities in Texas are hiring for Remote Digital Signal Processing Engineer jobs?

Cities in Texas with the most Remote Digital Signal Processing Engineer job openings:

Infographic showing various Remote Digital Signal Processing Engineer job openings in Texas as of August 2026, with employment types broken down into 78% Full Time, 12% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

Data Processing Engineer

SpyCloud

Austin, TX โ€ข On-site, Remote

$111K - $144K/yr

Full-time

Posted 28 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.ย  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.