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Full Time Pattern Recognition Jobs in Breese, IL

Booz Allen Hamilton

Agentic AI Developer

O Fallon, IL

$99K - $225K/yr

Experience with software design patterns * Knowledge of embedding models, vector databases, and ... Our recognition awards program acknowledges employees for exceptional performance and superior ...

All JobsPattern Recognition JobsFull Time Pattern Recognition JobsFull Time Pattern Recognition Jobs in Breese, IL

Full Time Pattern Recognition information

See Breese, IL salary details

$30.3K

$70.1K

$114.1K

How much do full time pattern recognition jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time pattern recognition in Breese, IL is $70,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $77,900.00 per year, depending on experience, location, and employer.

What is a full time pattern recognition job?

A full time pattern recognition job involves working with data to identify patterns, trends, or structures, often using techniques from machine learning, statistics, and artificial intelligence. Professionals in this field develop algorithms and models that enable computers to recognize patterns in images, sounds, or other forms of data, which can be applied in areas like speech recognition, image analysis, and fraud detection. These roles typically require strong analytical skills, proficiency in programming languages such as Python or R, and a solid understanding of mathematical concepts. Full time positions may be found in industries like technology, healthcare, finance, and more.

What are the key skills and qualifications needed to thrive as a pattern recognition specialist?

To thrive as a Pattern Recognition Specialist, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), statistical analysis tools, and programming languages like Python or R is typically required. Analytical thinking, attention to detail, and problem-solving abilities are crucial soft skills for interpreting complex data and developing effective algorithms. These skills and qualities are essential for identifying meaningful patterns in large datasets, driving innovation, and supporting data-driven decision-making.

What are some common challenges faced by professionals in full time pattern recognition roles, and how can they be addressed?

Professionals in full-time pattern recognition roles often encounter challenges such as dealing with large, complex datasets, ensuring data quality, and keeping up with rapidly evolving algorithms and technologies. Overcoming these challenges typically involves continuous learning, collaborating closely with data engineers and domain experts, and utilizing robust validation and testing strategies to ensure model accuracy. Additionally, effective communication with stakeholders is essential to translate technical findings into actionable insights.

What is the difference between Full Time Pattern Recognition vs Full Time Data Analyst?

AspectFull Time Pattern RecognitionFull Time Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with machine learningDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, tech companies, AI development teamsBusiness intelligence, finance, marketing departments
Industry UsageAI, machine learning, pattern detection projectsData interpretation, reporting, decision support

Full Time Pattern Recognition specialists focus on developing algorithms to identify patterns in data, often involving machine learning and AI. In contrast, Full Time Data Analysts interpret data sets to generate insights for business decisions. While both roles require analytical skills and familiarity with data tools, pattern recognition emphasizes algorithm development, whereas data analysis centers on data interpretation and reporting.

What jobs are good for full time pattern recognition?

Full time pattern recognition skills are valuable in roles such as data analysts, machine learning engineers, computer vision specialists, and cybersecurity analysts. These jobs often require strong analytical abilities, knowledge of algorithms, and experience with tools like Python, MATLAB, or specialized software to identify trends, anomalies, or patterns in large datasets or systems.
Full Time Pattern Recognition jobs near you
Infographic showing various Full Time Pattern Recognition job openings in Breese, IL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $70,051 per year, or $33.7 per hour.

Data Engineer 3 (Mid-Level, Data Product Implementation and Architecture)

UNCOMN

Scott Air Force Base, IL • On-site

$88K - $110K/yr

Full-time

Medical, Retirement, PTO

Re-posted 21 days ago

Job description

At UNCOMN, we don’t just fix issues; we deliver secure solutions that power essential operations in both the public and private sectors. Our team tackles tough challenges—whether it’s improving organizational systems, streamlining logistics, or making sense of complex data—all with one goal: helping our clients succeed so they can continue serving others.
We’ve built a culture rooted in our Core Values, where innovation thrives, work-life balance is respected, and career growth is always encouraged. We're also proud to be recognized as a ‘Top Workplace,’ and that’s not just us talking; it’s our employees. Now, we’re looking for another Uncommon Genius to join our dynamic team. If you love solving puzzles, building new things, fixing what’s broken, or pushing the boundaries of creativity, we encourage you to explore the details of this position below!

UNCOMN is seeking a Data Engineer 3 (Mid-Level, Data Product Implementation and Architecture) to:
  • Design, develop, and support secure, scalable enterprise data integration and exchange solutions.
  • Build and maintain APIs, data pipelines, and integration services that enable reliable data sharing.
  • Develop data ingestion, transformation, and orchestration capabilities supporting operational and analytical workloads.
  • Implement reusable integration patterns that improve interoperability, scalability, and system connectivity.
  • Monitor, troubleshoot, and optimize integration services for performance, reliability, and security.
  • Collaborate with engineers, analysts, cybersecurity personnel, and stakeholders to deliver mission-focused solutions.
  • Produce technical documentation and support enterprise data governance and interoperability initiatives.
This position description outlines the core duties for this role, but it is not all-inclusive. Responsibilities may shift based on contract requirements, mission needs, or organizational objectives.
Requirements
  • Must be eligible to obtain a Secret clearance, granted by the US Government, which requires US citizenship. The government also uses 13 adjudicative guidelines to determine an individual's eligibility.
  • 5+ years of experience in data engineering, systems integration, software engineering, or enterprise data exchange.
  • Experience designing and supporting secure APIs, data pipelines, and enterprise integration solutions.
  • Experience implementing data ingestion, transformation, orchestration, and secure data-sharing practices.
  • Experience with modern data engineering technologies such as Python, SQL, REST APIs, Databricks, Spark, Palantir Foundry, cloud integration services, or similar enterprise platforms.
  • Knowledge of secure software development, enterprise security principles, and data governance.
  • Strong analytical, communication, and problem-solving skills.
  • Ability to work on-site in support of USTRANSCOM mission requirements and obtain additional certifications as required.
Preferred Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Cybersecurity, or a related technical field.
  • Experience supporting Department of Defense, Combatant Command, transportation, logistics, or other federal mission environments.
  • Experience with cloud platforms and enterprise integration technologies.
  • Familiarity with enterprise architecture, interoperability, or large-scale data modernization initiatives.
  • Relevant industry certifications (e.g., AWS, Azure, Security+, Databricks, CISSP, TOGAF, or similar).
Why UNCOMN?
  • Instant Flexible PTO: Enjoy flexible paid time off starting your very first day with us!
  • Generous Holidays: Benefit from 7 paid holidays and up to 3 floating holidays annually.
  • Immediate Health Coverage: Get access to comprehensive health benefits from day one.
  • 401K Safe Harbor Match: Secure your future with our top-tier 401K matching program.
  • Growth Opportunities: Advance your career with our training and education assistance programs.
  • Free Employee Assistance Program (EAP): Access complimentary support services for you and your family.
Note: Benefits apply to full-time employees only.

Don’t meet every single requirement? We’re dedicated to building an uncommon, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

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