ZipRecruiter

Log In

1

Pandas Jobs (NOW HIRING)

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure. * Refactor and modularize ML codebases to enhance reusability ...

Keylent Inc

AWS Cloud Engineer Lead

Boston, MA · On-site

$60.50 - $81/hr

... Pandas • Experience with DevOps pipeline (CI/CD) - Bitbucket; Concourse • AWS monitoring services like CloudWatch, CloudTrail ad CloudWatch events • AWS workflow orchestration tools like ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure. * Refactor and modularize ML codebases to enhance reusability ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas) * Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras ...

(unknown company)

Data Scientist

Orlando, FL

Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various ...

(unknown company)

Data Scientist

Orlando, FL · On-site +1

Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various ...

Xometry

Senior Data Scientist, Costing

Lexington, KY · On-site

D. in a related field highly desired • 5+ years of experience with machine learning, statistical modeling, and optimization techniques • Fluent in Python (pandas, numpy, SciPy, and scikit-learn ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

Work extensively with Python libraries such as Pandas, NumPy, and Scikit-learn for data processing and analysis. * Implement and optimize NLP techniques using tools like NLTK, SpaCy, or Transformers.

previous page

Showing results 41-60

All JobsTechnology JobsSoftware JobsPython Engineer JobsPandas Jobs

Pandas information

See salary details

$37.5K

$122.7K

$196.5K

How much do pandas jobs pay per year?

As of Aug 30, 2026, the average yearly pay for pandas in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a pandas?

A Pandas job typically refers to roles involving data manipulation, analysis, and processing using the Pandas library in Python. These jobs are common in data science, analytics, and engineering, where professionals use Pandas to clean, transform, and analyze datasets. Responsibilities often include data wrangling, exploratory data analysis, and integrating Pandas with other tools like NumPy and SQL.

What are the key skills and qualifications needed to thrive as a pandas developer?

To thrive as a Pandas developer, you need strong proficiency in Python programming, a solid grasp of data manipulation concepts, and experience working with large datasets. Familiarity with the Pandas library, data visualization tools like Matplotlib or Seaborn, and version control systems such as Git is typically required. Analytical thinking, attention to detail, and strong problem-solving skills help you stand out in this position. These skills are crucial for efficiently handling, analyzing, and drawing insights from complex data to support data-driven decision-making.

What are some common challenges data analysts face when using pandas in a professional setting?

Data analysts often encounter challenges with handling large datasets in Pandas, as performance can decrease with increasing data size. Ensuring data integrity during complex transformations and merges also requires careful attention to avoid introducing errors. Additionally, keeping up with best practices and new features in Pandas is essential for writing efficient, maintainable code. Collaborating with team members typically involves code reviews and sharing reusable functions to maintain consistency across projects.

What is the difference between Pandas vs Data Analysts?

AspectPandasData Analysts
Primary RoleData manipulation and analysis library for PythonInterpreting data, generating reports, and providing insights
Required SkillsPython programming, data handling, libraries like NumPyExcel, SQL, statistical analysis, communication skills
Work EnvironmentUsed within data analysis projects, coding environmentsBusiness settings, reporting, presentations
Common UsageData cleaning, transformation, analysis in PythonData interpretation, reporting, decision-making

While Pandas is a Python library used by data analysts, the two are interconnected. Pandas provides the tools data analysts use for data manipulation and analysis, making it a core component of a data analyst's toolkit. Understanding Pandas enhances a data analyst's ability to work efficiently with data in Python.

More about Pandas jobs

What cities are hiring for Pandas jobs?

Cities with the most Pandas job openings:

What are the most commonly searched types of Pandas jobs?

The most popular types of Pandas jobs are:

What states have the most Pandas jobs?

States with the most job openings for Pandas jobs include:

What job categories do people searching Pandas jobs look for?

The top searched job categories for Pandas jobs are:

Pandas jobs near you
Infographic showing various Pandas job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Machine Learning Operations Engineer

System One Holdings, LLC

Dallas, TX • On-site

$120K/yr

Contractor

Re-posted 22 days ago

Job description

Job Title: Machine Learning Operations Engineer
Location: Dallas, Texas
Type: Contract To Hire
Visa : USC, GC, EAD (Only W2, No Sponsorship)
Responsibilities
  • Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure.
  • Refactor and modularize ML codebases to enhance reusability, maintainability, and performance.
  • Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades.
  • Integrate with existing model serving frameworks to support testing, deployment, and rollback processes.
  • Monitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency.
  • Contribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices.
  • Build near real-time ML pipelines using Kafka and Spark Streaming.
  • Work with AWS and SageMaker MLOps ecosystem.

Requirements
  • 6+ years of experience in software engineering, data engineering, or MLOps roles.
  • Strong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow.
  • Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning.
  • Experience with CI/CD pipelines and best practices in ML environments.
  • Hands-on experience with monitoring tools for ML pipeline health and performance.
  • Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering).
  • Experience contributing to or building internal MLOps frameworks/platforms.
  • Familiarity with SLURM clusters or other distributed job schedulers.
  • Exposure to Kafka, Spark Streaming, or other real-time data processing technologies.
  • Understanding of ML lifecycle management, including versioning, deployment, and drift detection.

#M1
#DI-CB2
#L1 - KB1
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

View All System One Jobs

Apply