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Associate Pattern Recognition Jobs (NOW HIRING)

Expression Networks

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... pattern recognition, and decision-support functions. * Develop services within secure ... Associate's degree plus 7 years of recent specialized experience; or * Major certification plus 7 ...

Hatch IT

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... pattern recognition, and decision-support functions. * Develop services within secure ... Associate's degree plus 7 years of recent specialized experience; or * Major certification plus 7 ...

Texas Instruments

Product Test Technician

Lehi, UT · On-site

Visual Pattern Recognition & Quality Control: Perform high-level inspection of wafer maps (PNG die ... Associate's degree in a technical field or equivalent semiconductor manufacturing experience. * 2+ ...

Texas Instruments

Product Test Technician

Lehi, UT · On-site

Visual Pattern Recognition & Quality Control: Perform high-level inspection of wafer maps (PNG die ... Associate's degree in a technical field or equivalent semiconductor manufacturing experience. * 2+ ...

Texas Instruments

Product Test Technician

Lehi, UT

Visual Pattern Recognition & Quality Control: Perform high-level inspection of wafer maps (PNG die ... Associate's degree in a technical field or equivalent semiconductor manufacturing experience. * 2+ ...

Ancient Crunch Inc

Customer Service Associate

$22/hr

The Customer Relations Associate is expected to lead new initiatives and assume additional duties ... Pattern recognition (noticing when customers bring similar experiences to your attention)

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How much do associate pattern recognition jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for associate pattern recognition in the United States is $19.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $20.67 per hour, depending on experience, location, and employer.

What is an associate pattern recognition?

Associate Pattern Recognition professionals are entry-level specialists who support the development and implementation of algorithms and systems that identify patterns in data. They typically assist senior analysts or engineers in analyzing datasets, using tools such as machine learning or statistical software to recognize trends, anomalies, or recurring patterns. Their work is applied in a variety of industries, including technology, healthcare, finance, and manufacturing, to improve decision-making and automate processes. They often collaborate with data scientists and engineers to refine models and enhance the accuracy of pattern recognition systems.

What are the key skills and qualifications needed to thrive as an associate pattern recognition?

To thrive as an Associate Pattern Recognition Specialist, you need a solid background in mathematics, statistics, and computer science, often supported by a relevant degree. Familiarity with programming languages such as Python or R, as well as experience using machine learning frameworks like TensorFlow or scikit-learn, is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with team members. These skills and qualifications are essential for accurately identifying meaningful patterns in data, driving actionable insights, and supporting data-driven decision-making in various industries.

What are some typical projects an associate pattern recognition might work on, and how do they collaborate with other team members?

As an Associate Pattern Recognition professional, you may work on projects such as developing algorithms to identify trends in large datasets, improving image or speech recognition systems, or supporting data-driven decision-making in areas like healthcare or finance. You will often collaborate closely with data scientists, software engineers, and domain experts to understand project goals, refine models, and implement solutions. Regular team meetings and code reviews are common, providing opportunities to learn from senior colleagues and contribute your insights.

What jobs are good with associate pattern recognition?

An associate pattern recognition skill is valuable in roles such as data analyst, computer vision technician, machine learning assistant, and quality control inspector. These jobs often involve analyzing visual or data patterns, using tools like MATLAB or Python, and may require knowledge of algorithms and image processing.
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Associate Pattern Recognition jobs near you
Infographic showing various Associate Pattern Recognition job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $41,327 per year, or $19.9 per hour.

Data Engineer

Expression Networks

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Expression is seeking an experienced Data Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions for the Department of Defense CDAO ADA IR program.
The Data Engineer will work as part of a multidisciplinary team integrating data engineering, advanced analytics, machine learning, and software engineering capabilities into mission-critical environments supporting Combatant Commands. This role will design and deploy data pipelines, preprocessing workflows, feature-engineering strategies, reusable data services, and machine learning capabilities within secure, containerized environments.
The successful candidate will collaborate with product managers, full-stack developers, platform and DevSecOps engineers, data scientists, and mission stakeholders to transform structured and unstructured data into operational insights and decision-support capabilities. The role combines data engineering, applied data science, and production ML responsibilities and emphasizes reproducibility, testing, secure deployment, technical communication, and continuous delivery.
Clearance: Secret clearance required ability to obtain TS/SCI clearance
Location: Onsite Washington DC
Key Responsibilities
  • Design, develop, and maintain reusable services for data ingestion, transformation, preprocessing, and feature engineering supporting AI/ML workflows.
  • Build scalable data pipelines and workflows supporting structured and unstructured mission data.
  • Implement data science capabilities such as entity resolution, classification, clustering, prediction, anomaly detection, pattern recognition, and decision-support functions.
  • Develop services within secure, containerized environments using established CI/CD, version-control, testing, and documentation standards.
  • Collaborate with DevSecOps engineers to integrate data and ML services into secure production environments using technologies such as Databricks, Docker, and Terraform.
  • Ensure production services meet applicable performance, reliability, security, and architectural requirements for DoD enterprise and cloud-native environments.
  • Develop and deploy standalone and embedded machine learning models supporting mission decision-making, automation, anomaly detection, and pattern recognition.
  • Select and implement appropriate modeling approaches using Python, Spark, and cloud-native ML frameworks such as SageMaker and MLflow.
  • Maintain reproducibility and interpretability of model outputs to support mission transparency and audit requirements.
  • Package model-inference services using documented APIs for integration with end-user applications, operational dashboards, and other mission capabilities.
  • Conduct exploratory data analysis to identify patterns, trends, data gaps, and opportunities across structured and unstructured datasets.
  • Develop data visualizations, analytical outputs, and interpretive summaries supporting stakeholder understanding and product-team decisions.
  • Translate analytical findings into actionable recommendations using visual, narrative, and quantitative communication methods.
  • Develop and contribute reusable analysis templates, queries, and analytical workflows to improve delivery efficiency.
  • Engage product managers and mission users to define data, analytical, and model requirements aligned with operational objectives.
  • Collaborate with software, platform, and DevSecOps engineers to ensure data science components align with technical constraints, architecture, and deployment patterns.
  • Participate in Agile sprint planning, retrospectives, demonstrations, and related delivery activities.
  • Maintain documentation supporting technical accountability, reproducibility, operational handoff, and sustainment.

Required Qualifications
  • One of the following combinations of education, certification, and recent specialized experience:
    • Bachelor's degree plus 3 years of recent specialized experience; or
    • Associate's degree plus 7 years of recent specialized experience; or
    • Major certification plus 7 years of recent specialized experience; or
    • 11 years of recent specialized experience.
  • Experience with data visualization and data storytelling using tools such as Palantir MSS Workshop and Slate applications.
  • Proficiency with Python, SQL, and distributed data frameworks, including technologies such as Spark, Databricks, and PySpark.
  • Experience developing machine learning models from training through deployment using industry-standard tools and libraries such as scikit-learn, TensorFlow, and XGBoost.
  • Strong technical communication skills with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications
  • 4+ years of experience in applied data science, Palantir Foundry development, or data-pipeline development.
  • Familiarity with MLOps, API development, and secure cloud-based environments, including AWS, Azure, or Palantir Foundry.
  • Strong understanding of data validation, model testing, and performance-evaluation techniques.

Benefits:
Expression offers competitive salaries and benefits, such as:
  • 401k matching
  • PPO and HDHP medical/dental/vision insurance
  • Education reimbursement up to $10,000/yr
  • Complimentary life insurance
  • Generous PTO and 11 days of holiday leave
  • Onsite gym facility and trainer
  • Commuter Benefits Plan
  • In-office Cold Brew Coffee

About Expression:
Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest-growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
We make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.
Equal Opportunity Employer/Veterans/Disabled
Expression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process, please submit your request to our Human Resources department through the application portal.

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