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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 ...

Diverse Lynx

Lead Python Data Engineer

Irvine, CA · On-site

Job Summary : Diverse Lynx is seeking a Lead Python Data Engineer to join their team. The role involves hands-on experience in Python data engineering and requires expertise in AWS and data ...

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 : • ...

Black Cape

Python Data Engineer

Tampa, FL · On-site

$70 - $90/hr

Python Data Engineer (Entry - Mid Level) Location: Tampa, FL Onsite: Expected to go onsite (into a SCIF) up to 5 days per week Clearance: TS/SCI (no poly required) If you do NOT have a US Citizenship ...

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 ...

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 ...

Black Cape

Python Data Engineer

Tampa, FL · On-site

Python Data Engineer (Entry - Mid Level) Location: Tampa, FL Onsite: Expected to go onsite (into a SCIF) up to 5 days per week Clearance: TS/SCI (no poly required) ***If you do NOT have a US ...

SysMind Tech

Python Data Integration Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

Python Data Integration Developer Basic Information * Experience Level: 5-10 years Required Skills * Strong Python 3.x experience for data ingestion and transformation. * DataFrame processing ...

Pddn

Python Data Engineer

San Francisco, CA

$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 ...

Purple Drive

Python Data Engineer

Tampa, FL

$108K - $129K/yr

Strong hands-on experience in Python for data engineering and application development. Extensive experience with AWS cloud services, including S3, EMR, Glue, Lambda, IAM, EC2, ECS/EKS, CloudWatch ...

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 ...

PTR Global

Python Data Engineer

Mclean, VA · On-site

$90 - $95/hr

Proven experience in data analysis, machine learning, and statistical modeling. * Proficiency in programming languages such as Python, R, or SQL. * Strong problem-solving skills and attention to ...

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How much do python data jobs pay per hour?

As of Aug 21, 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 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 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.

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 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.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.
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Python Data jobs near you
Infographic showing various Python Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Data Engineer

Perficientcorp Inc

Phoenix, AZ • On-site

Contractor

Re-posted 26 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