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Python Data Jobs (NOW HIRING)

Perficientcorp Inc

Python Data Engineer

Phoenix, AZ · On-site

Immediate Hiring | Python Data Engineer / API Developer We are hiring experienced Python Data Engineers / API Developers for enterprise-level projects. If you have strong expertise in PySpark, GCP ...

VC5 Consulting

Python Data Engineer

Houston, TX

A well-established energy trading firm in Houston is seeking a seasoned Python Data Engineer to expand its data assets and directly elevate its analytical and trading capabilities. In this role, you ...

Vitol

Python Data Engineer

Houston, TX · On-site

They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists. Responsibilities : • ...

Vitol

Python Data Engineer

Houston, TX

This Role is located in Houston, TX - In office 5x a week We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities ...

Vitol

Python Data Engineer

Houston, TX · On-site

This Role is located in Houston, TX - In office 5x a week We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities ...

Pddn

Python Data Engineer

San Francisco, CA · On-site

$110K - $130K/hr

Must have strong experience in Python Programming. Must have strong experience in SQL. Experience in building and optimizing data pipelines, architectures and data sets. Experience in processing and ...

Diverse Lynx

Pyspark/Python Data Engineer

Edison, NJ · On-site

$116K - $139K/yr

Job Summary : Diverse Lynx is a company seeking a Pyspark/Python Data Engineer to design, develop, and maintain ETL/ELT pipelines. The role involves writing optimized PySpark transformations ...

Diverse Lynx

Pyspark/Python Data Engineer

Irving, TX · On-site

$106K - $127K/yr

They are seeking a Pyspark/Python Data Engineer to design, develop, and maintain ETL/ELT pipelines, ensuring data quality and performance across data workloads. Responsibilities : • Design, develop ...

Diverse Lynx

Pyspark/Python Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Diverse Lynx is a company focused on providing technology solutions, and they are seeking a Pyspark/Python Data Engineer to design and maintain ETL/ELT pipelines. The role involves developing ...

Palnar

Sr. Python Data Engineer

Mclean, VA · On-site

Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3 The role is to continue to ... This work involves building pipelines to get data into the platform, update drools based rules, and ...

Diverse Lynx

PySpark/Python Data Engineer

Irving, TX · On-site

$106K - $127K/yr

Diverse Lynx is seeking an experienced PySpark/Python Data Engineer to design, develop, and optimize scalable data processing solutions. The role involves building high-performance data pipelines ...

Diverse Lynx

Pyspark/Python Data Engineer

Irving, TX · On-site

$106K - $127K/yr

The ideal candidate will have hands-on experience with PySpark and Python, working in distributed data processing environments. Responsibilities : • Design, develop, and maintain ETL/ELT pipelines ...

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Python Data information

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How much do python data jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python data in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals skilled in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries, especially with certifications or advanced degrees.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, NumPy, or frameworks like Django and Flask, and may involve tasks like scripting, data processing, or web development.

Is Python a high paying job?

Python data roles, such as Python developers or data analysts, tend to offer competitive salaries due to the high demand for programming and data skills. Salaries vary based on experience, location, and industry, but Python-related positions generally pay above average compared to many other tech roles.

What are the key skills and qualifications needed to thrive as a Python Data professional, and why are they important?

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.
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Python Data jobs near you

Python Data Engineer

Perficientcorp Inc

Phoenix, AZ • On-site

Contractor

Posted 23 days ago

Job description

Immediate Hiring | Python Data Engineer / API Developer

We are hiring experienced Python Data Engineers / API Developers for enterprise-level projects. If you have strong expertise in PySpark, GCP, and scalable API development, we’d love to connect with you.

Required Skills:

PySpark & distributed data processing
Python API development using FastAPI or Flask
Google Cloud Platform (GCP): BigQuery, Composer, DAGs, Cloud Storage
Batch and real-time data pipeline development
Data quality, monitoring, and validation frameworks
Performance optimization and security best practices
BI tools such as Power BI and MicroStrategy

Job Details
Experience Required: 9+ years
Location: Salt Lake City, UT, and multiple locations
Opportunity Type: Enterprise-level projects