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Model Validation Jobs in Dallas, TX (NOW HIRING)

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Participate in data architecture reviews and model validation processes * Support analytics reporting and risk platforms. Required Qualifications * 5+ years of experience in data engineering and big ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Participate in data architecture reviews and model validation processes * Support analytics reporting and risk platforms. Required Qualifications * 5+ years of experience in data engineering and big ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Participate in data architecture reviews and model validation processes * Support analytics reporting and risk platforms. Required Qualifications * 5+ years of experience in data engineering and big ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Participate in data architecture reviews and model validation processes * Support analytics reporting and risk platforms. Required Qualifications * 5+ years of experience in data engineering and big ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Participate in data architecture reviews and model validation processes * Support analytics reporting and risk platforms. Required Qualifications * 5+ years of experience in data engineering and big ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Participate in data architecture reviews and model validation processes * Support analytics reporting and risk platforms. Required Qualifications * 5+ years of experience in data engineering and big ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Participate in data architecture reviews and model validation processes * Support analytics reporting and risk platforms. Required Qualifications * 5+ years of experience in data engineering and big ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

... design, and model validation. - Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark). - Familiarity with data ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Participate in data architecture reviews and model validation processes * Support analytics reporting and risk platforms. Required Qualifications * 5+ years of experience in data engineering and big ...

... model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models. • Partner closely with product, analytics, and ...

... model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models. • Partner closely with product, analytics, and ...

... model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models. • Partner closely with product, analytics, and ...

Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and ...

Experience with AI governance processes, including AI use case tracking, model risk classification ... Drive validation and compliance activities for complex GxP systems as a Senior Consultant ...

Experience with AI governance processes, including AI use case tracking, model risk classification ... Drive validation and compliance activities for complex GxP systems as a Senior Consultant ...

Showing results 41-60

Model Validation information

See Dallas, TX salary details

$22

$51

$77

How much do model validation jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for model validation in Dallas, TX is $51.44, according to ZipRecruiter salary data. Most workers in this role earn between $38.99 and $62.55 per hour, depending on experience, location, and employer.

What is a model validation?

A Model Validation job involves assessing and verifying the accuracy, reliability, and performance of mathematical and statistical models used in finance, risk management, or other industries. Professionals in this role conduct independent testing, evaluate assumptions, and ensure models comply with regulatory and internal standards. They identify weaknesses, suggest improvements, and help mitigate potential risks associated with model usage. Model validators often work with machine learning models, credit risk models, or trading algorithms, depending on the industry.

What are the key skills and qualifications needed to thrive in the model validation position, and why are they important?

To thrive as a Model Validation professional, you need strong quantitative, statistical, and analytical skills, often supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with programming languages such as Python or R, statistical modeling software, and familiarity with regulatory guidelines like SR 11-7 or CCAR is essential. Outstanding attention to detail, problem-solving abilities, and clear communication are valuable soft skills in this role. These competencies are crucial for rigorously assessing complex models, documenting findings, and collaborating effectively with model developers and risk management teams.

What are some common challenges faced by professionals in model validation roles?

One common challenge in Model Validation is staying up-to-date with evolving regulatory requirements and industry best practices, which can impact how models should be tested and documented. Model validators often work with highly complex financial or risk models, requiring strong analytical skills to assess underlying assumptions and potential risks. Additionally, balancing the need for thoroughness with tight deadlines and collaborating with model developers to address issues can be demanding. However, overcoming these challenges offers valuable opportunities to build expertise, work cross-functionally, and play a critical role in ensuring the integrity and reliability of key business decisions.

What are the most commonly searched types of Model Validation jobs in Dallas, TX?

The most popular types of Model Validation jobs in Dallas, TX are:

What are popular job titles related to Model Validation jobs in Dallas, TX?

For Model Validation jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Model Validation jobs in Dallas, TX look for?

The top searched job categories for Model Validation jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Model Validation jobs?

Cities near Dallas, TX with the most Model Validation job openings:

Infographic showing various Model Validation job openings in Dallas, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,988 per year, or $51.4 per hour.

Data Engineer with DevOps

System One

Dallas, TX • On-site

$52.25 - $71.50/hr

Other

Re-posted 20 days ago


Job description

Job Title: Senior Data Engineer with DevOps

Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX

Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs Job Description: We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards. Duties and Responsibilities:

  • Design and build scalable data pipelines aligned with business needs
  • Process large dataset (batch + sometimes near Realtime)
  • Ensure data quality, consistency, and governance standards across systems
  • Support data integration and transformation efforts for analytics and reporting platforms
  • Maintain data dictionaries, metadata, and documentation
  • Participate in data architecture reviews and model validation processes
  • Support analytics reporting and risk platforms.
Required Qualifications
  • 5+ years of experience in data engineering and big data processing
  • Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing
  • Experience working with structured and semi structured data, including complex transformations and performance tuning
  • Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into ‘curated data models'
  • Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems
  • Strong knowledge of SQL and data modeling concepts
  • Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring)
  • Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling
  • Strong understanding of batch processing and batch job scheduling frameworks
  • Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines
  • Fundamentals in Linux and Networking
  • Docker, OCP containerization / Kubernetes
  • Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle
  • Automate operational tasks using Python, Bash/Shell, and PowerShell
  • Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK.
  • Experience ensuring data quality, reliability, and compliance in regulated environments
  • Good communication and documentation skillsGood communication and collaboration skills in cross-functional teams
  • Agile/Safe methodologies
Must Have Skills
  • Airflow
  • Containerization
  • DevOps
  • Elastic Stack & Elasticsearch
  • GitHub
  • Hadoop Hive
  • Jenkins
  • JSON Web Token (JWT)
  • Kubernetes
  • OpenShift
  • Oracle
  • Python
  • Shell Script
  • SQLite
Ref: #404-IT Pittsburgh


System One logo

About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US