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Local Pandas Jobs (NOW HIRING)

Acro Service Corp.

Software Engineer

Houston, TX · On-site

$50 - $56/hr

Looking for local TX candidates***** *****No ***** * Languages: Python, SQL, JavaScript. Data Analysis & Visualization: Pandas, NumPy, Jupyter Notebook, Plotly, Dash, Power BI Testing: PyTest, Unit ...

Staffingine LLC

Data Scientist

Redmond, WA · On-site

Redmond, WA (Onsite) Interview: 2 Rounds (2nd Round Face-to-Face) Local Candidates Only Rate: Open ... Strong Python (Pandas, NumPy, Scikit-learn) * Good SQL skills * Experience in Machine Learning ...

Appex Innovation

Python Developer (Airlines)

Chicago, IL · On-site

$51.75 - $71.25/hr

First preference is local. Top 5 Skill sets 1. Programming Language: Python leveraging pandas 2. Development experience on AWS platform 3. Containerization tool: Docker 4. Environments: Linux ...

Appex Innovation

Python Developer (Airlines)

Chicago, IL · On-site

$51.75 - $71.50/hr

Contract-W2 Insights: • Looking for local but can be remote and must work CST hours. • First preference is local. Top 5 Skill sets 1. Programming Language: Python leveraging pandas 2. Development ...

S R INTERNATIONAL INC

Senior Data Analyst

Phoenix, AZ · On-site

$85K - $108K/yr

Phoenix, AZ (Hybrid - Local Candidates Only) Duration: 6+ Months Work Location: Hybrid (Onsite once ... Python (Pandas) * Scripting & Automation * Power Query / Advanced Excel * EBCDIC to ASCII ...

New

Boot Barn

Data Scientist

Irvine, CA · On-site

... pandas, numpy, scikit-learn, PyTorch, TensorFlow. • Collaborate with AI/ML Engineers to ... local, federal and state laws in addition to Company policies, procedures, and practices. • ...

Winaxis

Data Scientist

Philadelphia, PA · On-site

$60/hr

Philadelphia, PA (Local candidates only) - Duration: Long-term contract - Client: UST Global ... SQL and Python (pandas, numpy, etc.). - Apply AI/ML techniques, including familiarity with ...

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Showing results 21-40

All JobsLocal Pandas Jobs

Local Pandas information

See salary details

$37.5K

$122.7K

$196.5K

How much do local pandas jobs pay per year?

As of Aug 5, 2026, the average yearly pay for local 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 the difference between Local Pandas vs Data Analysts?

AspectLocal PandasData Analysts
Required CredentialsProficiency in Python, pandas library, basic data skillsBachelor's in statistics, data science, or related field; sometimes certifications
Work EnvironmentData analysis, scripting, coding in Python, often remote or office-basedData interpretation, reporting, often in office or remote settings
Industry UsageTech, finance, healthcare, and more; used by data-focused teamsBusiness, marketing, finance, and other sectors requiring data insights

Local Pandas professionals focus on coding and data manipulation using Python, while Data Analysts often handle broader data interpretation and reporting. Both roles overlap in data skills but differ in technical depth and scope.

More about Local Pandas jobs
What cities are hiring for Local Pandas jobs? Cities with the most Local 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 Local Pandas jobs? States with the most job openings for Local Pandas jobs include:
What job categories do people searching Local Pandas jobs look for? The top searched job categories for Local Pandas jobs are:
Local Pandas jobs near you
Infographic showing various Local Pandas job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Software Engineer

Acro Service Corp.

Houston, TX • On-site

$50 - $56/hr

Other

PTO

Re-posted 5 days ago

Job description

Job Title: Software Engineer
Duration: 6 months contract (Possibility of Extension)
Location:  Houston TX 77079 (Hybrid) 3 days onsite
Pay: $50-56/hr on W2 without any benefits/holiday/vacation
******Looking for local TX candidates*********
***********No *************
  1. Languages: Python, SQL, JavaScript.
    Data Analysis & Visualization: Pandas, NumPy, Jupyter Notebook, Plotly, Dash, Power BI
    Testing: PyTest, Unit Testing, Integration Testing, API Testing, Test Automation.
    Architecture: Reusable Components, Shared Libraries, Scalable Frameworks, Performance Optimization
    Recent job description describing projects: (Has hands-on recent python experience)
    Developed Python-based analytical services using FastAPI, Django, PostgreSQL, Redis, Pandas, and Numpy
    Built reusable object-oriented service components, shared libraries, and framework utilities that reduced duplicate development effort
  2. Current, Hands-On Python Experience It is critical that candidates are actively writing Python code in their current role. Many of the recent candidates demonstrated past experience but are no longer actively developing, which has led to challenges during assessment. Candidates must be comfortable coding independently and from scratch.

2. Independent Problem-Solving (No AI During Assessment) Candidates are required to complete an on-site technical assessment using their own laptop. AI tools are not permitted during this exercise. The manager has observed that many candidates rely heavily on AI, which limits their ability to demonstrate foundational knowledge and problem-solving skills.

3. Strong Foundation in Python Fundamentals Candidates should be able to:

  • Write and structure code logically
  • Build basic functions
  • Test and validate outputs
  • Debug independently

The assessment itself is not overly complex; however, it is designed to evaluate core competency and logical thinking.

4. Understanding of Modeling Fundamentals Candidates should demonstrate a solid grasp of foundational modeling concepts, including:

  • Basic statistical principles
  • Model assumptions and error terms
  • Ability to explain their approach clearly

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