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Coding Theory Jobs (NOW HIRING)

The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic. Striving never to be pigeonholed, we work across ...

Senior Engineer, DevOps (US)

New York, NY ยท On-site

$142K - $182K/yr

The Machine is the agentic operating system for marketing, built by Code and Theory. It plugs into the tools marketing teams use and turns disconnected workflows into a single intelligent system ...

Senior Engineer, DevOps (US)

New York, NY

$142K - $182K/yr

The Machine is the agentic operating system for marketing, built by Code and Theory. It plugs into the tools marketing teams use and turns disconnected workflows into a single intelligent system ...

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Coding Theory information

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$11

$35

$87

How much do coding theory jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for coding theory in the United States is $35.14, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $43.51 per hour, depending on experience, location, and employer.

What is coding theory?

Coding theory is a branch of mathematics and computer science that focuses on the design of error-correcting and error-detecting codes to ensure reliable transmission and storage of data. It involves creating algorithms and codes that can detect and correct errors in digital information, which is crucial for communication systems, data storage devices, and networks. Coding theory combines concepts from algebra, probability, and information theory to solve practical problems in digital communication and data integrity.

What are the key skills and qualifications needed to thrive as a coding theory engineer, and why are they important?

To excel as a Coding Theory Engineer, you need a strong background in mathematics, computer science, and algorithm design, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or C++), error-correcting code libraries, and mathematical tools like MATLAB is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating on complex projects and conveying technical concepts clearly. These abilities are crucial for developing robust data transmission systems and ensuring reliable information processing in industries such as telecommunications and data storage.

What is the difference between Coding Theory vs Data Scientist?

AspectCoding TheoryData Scientist
Required CredentialsDegree in Computer Science, Electrical Engineering, or Mathematics; often advanced degreesDegree in Statistics, Computer Science, or related fields; often advanced degrees
Work EnvironmentResearch labs, academia, tech companies focusing on communications and data integrityBusiness, tech firms, finance, healthcare analyzing data for insights
Industry UsageTelecommunications, data storage, error correctionBusiness analytics, machine learning, predictive modeling
Common Search/ComparisonYesYes

While Coding Theory focuses on designing algorithms for error detection and correction in data transmission, Data Scientists analyze large datasets to extract insights and build predictive models. Both roles require strong analytical skills and programming knowledge, but Coding Theory is more specialized in information theory and error correction, whereas Data Science emphasizes data analysis and machine learning applications.

What are some common challenges faced by professionals working in coding theory roles, and how can they be addressed?

Professionals in coding theory often encounter challenges such as staying current with rapidly evolving algorithms, bridging the gap between theoretical models and practical applications, and collaborating effectively with multidisciplinary teams. Addressing these challenges typically involves continuous learning through academic journals and conferences, hands-on experimentation with real-world data, and open communication with colleagues in fields like electrical engineering, computer science, and mathematics. Leveraging collaborative tools and participating in cross-functional meetings can also help ensure that solutions are both innovative and practically viable.
More about Coding Theory jobs
What states have the most Coding Theory jobs? States with the most job openings for Coding Theory jobs include:
What job categories do people searching Coding Theory jobs look for? The top searched job categories for Coding Theory jobs are:
Infographic showing various Coding Theory job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $73,094 per year, or $35.1 per hour.

Senior Director, Principal Engineer (US)

Code and Theory

New York, NY โ€ข On-site

$180K - $250K/yr

Full-time

Posted 15 days ago


Job description

The Machine is the agentic operating system for marketing, built by Code and Theory. It plugs into the tools marketing teams use and turns disconnected workflows into a single intelligent system, connecting brand strategy, creative production, and media performance. The Machine helps power agencies across Stagwell's network and world-leading brands. We're looking for a Principal Engineer to help lead architecture and technical direction while directing a matrixed group of DevOps, infrastructure, and data engineering professionals.
This is a hands-on technical leadership role. You'll set the architectural vision, raise the bar on engineering quality and velocity, and drive how AI reshapes the way we build and operate software.
Our engineers are AI native and engage in and advance the state of the art in the practice of software development flow with AI.
WHAT YOU'LL DO
  • Lead cloud architecture across the organization, bringing deep expertise in at least one major cloud provider and the ability to translate those patterns into multi-cloud environments
  • Direct DevOps strategy with a relentless focus on quality, efficiency, and flow, treating AI as a core lever for improving how the team ships and operates -- this spans building AI tooling hands-on and influencing teams across engineering to adopt low-friction, AI-powered production workflows
  • Help shape backend architecture and development, setting standards and making the key technical decisions that the team builds against
  • Evolve the data engineering practice, applying broad and deep knowledge across pipelines, storage, and processing to keep our data infrastructure reliable and scalable
  • Provide people leadership for a matrixed team spanning DevOps, infrastructure, and data engineering, mentoring engineers and coordinating across reporting lines to deliver as one team

WHAT YOU'LL NEED
  • Deep, demonstrated expertise in cloud architecture, with mastery of one major cloud provider (AWS, GCP, or Azure) and proven ability to design and reason about multi-cloud environments
  • Strong backend development background with a track record of architecting and shipping production systems
  • Broad and deep data engineering knowledge spanning ingestion, transformation, warehousing, and the tradeoffs between them
  • A DevOps mindset oriented toward measurable improvements in quality, efficiency, and flow, with conviction about where AI accelerates engineering work
  • Experience leading engineers, including in matrixed or cross-functional structures where influence matters as much as authority

ABOUT US
Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.
Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.
The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We're always on the lookout for smart, driven, and forward-thinking people to join our team.
The target range of base compensation for this role is $180,000 - $250,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.