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Python Data Analysis Jobs (NOW HIRING)

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 ... Black Cape is a technology company focused on full‑stack web applications, advanced data analysis ...

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 : • ...

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Perform data validation and quality checks using SQL and Python * Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights * Analyze data structures, relationships, and ...

Vitol

Python Data Engineer

Houston, TX

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Vitol

Python Data Engineer

Houston, TX · On-site

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

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How much do python data analysis jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for python data analysis 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 analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

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Python Data Analysis jobs near you
Infographic showing various Python Data Analysis 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Data Engineer

Black Cape

Tampa, FL • On-site

$70 - $90/hr

Other

Retirement

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

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 or a Security Clearance issued by a US Government Customer, we will likely not get back to you. It is a REQUIREMENT of the job.

Black Cape is a technology company focused on full‑stack web applications, advanced data analysis tools, and AI/ML capabilities for federal government customers. Our teams develop mission‑critical solutions on aggressive schedules under DoW and IC programs.

Requirements
  • Must have a Bachelor’s degree
  • Must have a TS/SCI clearance (no poly required)
  • 0-5 years of professional development experience
  • Strong experience with Python
  • Experience with at least one relational database, such as PostgreSQL, MySQL, or sqlite3
  • Experience working with agile software development teams
  • Experience working in classified government environments
  • Experience developing on MacOS, Windows, and Linux
  • Familiarity with database query languages including SQL
  • Familiarity with Linux systems including RedHat‑based distributions
Preferred (Nice to Haves)
  • Experience with ETL techniques
  • Experience with data tools such as NiFi, AirFlow
  • Experience with NoSQL storage like Elasticsearch, Accumulo, or MongoDB
  • Experience with containers, Docker, and Kubernetes
  • Experience with AWS Console including EC2 management
  • Background communicating to senior stakeholders in a classified environment
  • CompTIA Security+ certification

Great Benefits | 401K | Competitive Salary | Generous Time Off | Exceptional Team‑Building & Fun Company Events | Mentorship & Professional Development Programs | Tuition Reimbursement | Parental Policy

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