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Part Time Sql Python Jobs (NOW HIRING)

Baseball Analytics Job Type: Part-time, seasonal, hourly Job Summary This position is responsible ... Experience with SQL. * Experience with R or Python and pragmatic mathematical modeling.

Data Scientist

Alexandria, VA · On-site

$77K - $176K/yr

Experience with Databricks, Tableau, SQL, Python, or Qlik * Experience working within the WDP ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Technical proficiency in SQL, Python, Excel, and Power BI for data analysis and visualization ... part-time work * Comprehensive medical, dental, and vision plans * Culture of Health: Programs and ...

Technical proficiency in SQL, Python, Excel, and Power BI for data analysis and visualization ... part-time work * Comprehensive medical, dental, and vision plans * Culture of Health: Programs and ...

Data Scientist

Alexandria, VA · On-site

$77K - $176K/yr

Experience with Databricks, Tableau, SQL, Python, or Qlik * Experience working within the WDP ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

Develop automated workflows using Python, SQL, and modern orchestration tools to improve data ... part time, and independent contractor) and annual random drug screening for all current T3i ...

GIS Architect (part-time)

Arlington, VA · On-site

$73.29 - $76.17/hr

... Python, and SQL to write and maintain scripts to manipulate data and automate complex workflows, as well as join various databases for analytical processing. • Write and update technical ...

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Part Time Sql Python information

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How much do part time sql python jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for part time sql python 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 are part time SQL Python jobs?

Part time SQL Python jobs are roles that require proficiency in both SQL (Structured Query Language) and Python programming, but with a work schedule that is less than full time—often ranging from 10 to 30 hours per week. These positions typically involve managing databases, extracting and analyzing data, and developing scripts or applications to automate data-related tasks. Part time roles are popular among students, freelancers, or those seeking flexible working arrangements, and they are available in various industries such as finance, healthcare, and technology.

What is the difference between Part Time Sql Python vs Part Time Data Analyst?

AspectPart Time Sql PythonPart Time Data Analyst
Required SkillsSQL, Python, data manipulationSQL, Excel, data visualization
Work EnvironmentRemote or freelance projectsOffice or remote, business settings
Industry UsageTech, finance, startupsBusiness, marketing, finance

Part Time Sql Python roles focus on coding, database management, and data processing using SQL and Python, often in tech or startup environments. Part Time Data Analysts interpret data, create reports, and visualize insights, typically in business or corporate settings. While both roles require data skills, Sql Python positions emphasize programming and database work, whereas Data Analysts focus on analysis and reporting.

What are the key skills and qualifications needed to thrive as a Part-Time SQL Python Developer, and why are they important?

To thrive as a Part-Time SQL Python Developer, you need strong programming skills in Python and a solid understanding of SQL for data querying and manipulation, typically supported by relevant coursework or experience. Familiarity with relational database management systems (such as MySQL or PostgreSQL), version control tools like Git, and possibly certifications in Python or database technologies are advantageous. Analytical thinking, problem-solving, and effective time management are important soft skills for balancing part-time work with project deadlines. These abilities ensure you can efficiently develop, maintain, and optimize data-driven applications while delivering reliable results in a flexible work environment.

What types of projects and tasks can I expect to work on in a part-time SQL Python role?

In a part-time SQL Python position, you will typically work on data extraction, transformation, and analysis projects. Your daily tasks may include writing and optimizing SQL queries to retrieve data, cleaning and processing datasets using Python, and automating data workflows. You may also collaborate with data analysts, engineers, or business teams to support reporting or develop data-driven solutions. The flexibility of the part-time role allows you to focus on specific projects while gaining valuable hands-on experience in both SQL and Python.
More about Part Time Sql Python jobs
What cities are hiring for Part Time Sql Python jobs? Cities with the most Part Time Sql Python job openings:
What are the most commonly searched types of Sql Python jobs? The most popular types of Sql Python jobs are:
Infographic showing various Part Time Sql Python job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 60% Full Time, 38% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Data Scientist Fellow

Data Scientist Fellow

Baltimore Orioles

Baltimore, MD • On-site

$20/hr

Part-time

Re-posted 20 days ago


Job description

Title: Data Scientist Fellow
Reports To: Assistant GM, Analytics
Department: Baseball Analytics
Job Type: Part-time, seasonal, hourly
Job Summary
This position is responsible for creating and analyzing baseball datasets through the use of advanced statistical techniques, with the goal of building and maintaining interpretable predictive models and player valuation frameworks to aid in the decision-making of Baseball Operations executives.
Primary Responsibilities
  • Identify, diagnose and resolve data quality issues.
  • Work with end users to understand modeling needs.
  • Design, analyze, test and implement interpretable predictive models using R or Python.
  • Work with users and developers to create usable tools for the customers.
  • Evaluate, recommend and integrate new data sources (internal and 3rd party external data sources).
  • Complete ad-hoc reports or small studies as assigned throughout the year.
  • Execute SQL database queries to filter, clean and prepare data from existing database.

Qualifications
Required:
  • Deep passion for baseball and baseball analytics.
  • Understanding of statistics and statistical models.
  • Strong written and oral communication and presentation skills.
  • Excellent interpersonal skills and the ability to work well with staff members of all levels.

Desired:
  • Currently enrolled in or completed bachelor's Degree in Statistics, Analytics, Operations Research, Mathematics, Computer Science, or equivalent.
  • Experience with SQL.
  • Experience with R or Python and pragmatic mathematical modeling.
  • Experience with statistical analyses, data mining techniques, and working with large datasets.

The anticipated hourly rate for this role is $20/hour.
This information is being provided in accordance with the Maryland Equal Pay for Equal Work - Wage Range Transparency law.
DISCLAIMER:
The statements herein are intended to describe the general nature and level of work being performed by the employee in this position. The duties listed do not represent an exhaustive list of all responsibilities, duties, and skills required of a person in this position.
EQUAL OPPORTUNITY STATEMENT:
The Baltimore Orioles are an Equal Opportunity Employer. It is the policy of the Baltimore Orioles to ensure equal employment opportunity without discrimination or harassment on the basis of race (including hair textures, afro hairstyles, or protective hairstyles), color, national origin or ancestry, religion or creed, gender or sex (including pregnancy), age, disability, citizenship status, marital status, veteran's status, genetic predisposition or carrier status, gender identity, sexual orientation, or any other characteristic protected by law.