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Summer Python Sql Jobs (NOW HIRING)

Summer Friday's * Regional Belonging & Inclusion Networks * Green office concept and a global ... Strong proficiency in Python, SQL, R, Databricks and data visualization tools (e.g., Tableau, Power ...

Summer Friday's * Regional Belonging & Inclusion Networks * Green office concept and a global ... Strong proficiency in Python, SQL, R, Databricks and data visualization tools (e.g., Tableau, Power ...

Research Analyst Summer Intern Truveta is the world's first health provider led data platform with ... Experience with data analysis using tools such as R, Python, SQL, or similar. * Basic understanding ...

Job Summary The Business Analyst Intern is an entry-level summer position designed for a motivated ... Basic coding or scripting experience (e.g., Python, SQL, VBA) * Experience using Power BI or other ...

Research Analyst Summer Intern Truveta is the world's first health provider led data platform with ... Experience with data analysis using tools such as R, Python, SQL, or similar. * Basic understanding ...

Experience with Python or R a plus. * Collaborate with data engineers, analysts, and team members ... Proficiency in Excel and SQL; with the ability to write queries for data extraction, transformation ...

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How much do summer python sql jobs pay per hour?

As of May 30, 2026, the average hourly pay for summer python sql 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 difference between Summer Python Sql vs Summer Data Analyst?

AspectSummer Python SqlSummer Data Analyst
Required SkillsPython, SQL, data manipulationData analysis, SQL, Excel, visualization
Work EnvironmentProgramming, coding projectsData interpretation, reporting
Industry UsageTech, finance, startupsBusiness, marketing, finance

Summer Python Sql focuses on coding and data manipulation using Python and SQL, often in tech-driven environments. Summer Data Analyst emphasizes analyzing data, creating reports, and visualizations. Both roles require SQL skills, but Python is central to Summer Python Sql, while data analysis tools are key for Summer Data Analyst. They share industry overlap but differ in daily tasks and skill emphasis.

What cities are hiring for Summer Python Sql jobs? Cities with the most Summer Python Sql job openings:
What are the most commonly searched types of Python Sql jobs? The most popular types of Python Sql jobs are:
What states have the most Summer Python Sql jobs? States with the most job openings for Summer Python Sql jobs include:
Intern - Enterprise Analytics

$15.75 - $20.50/hr

Part-time

Posted 14 days ago


Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

MidAmerican Energy Company is seeking a student pursuing a bachelor's degree program in data analytics, computer science, management information systems, mathematics, or related field of study. Enterprise Analytics interns will be exposed to a variety of projects and activities that occur within the energy industry. Interns will have the opportunity to apply their knowledge and skills learned through college and apply them to the workplace. The position is temporary, nonexempt, and full-time/hourly through the summer. 

Company and Internship Program Overview

MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory.

Interns will have the opportunity to participate in the annual three-day summer intern event in Des Moines, Iowa where they will have the opportunity to tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company. Other panels, lunch and learns, and events will be happening throughout the summer to give our interns the best experience.

MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

Must be a college student, sophomore, or higher standing, currently enrolled in a bachelor's degree program in data analytics, computer science, management information systems, mathematics, or related field of study. Must be available May-August 2026. Working knowledge of Microsoft Office and the Windows operating environment.

Primary Job Duties and Responsibilities

  • Identify partner teams' key problems, prototype solutions, and help solve business problems using statistical analysis, cloud technology and data science tools
  • Collaborate with internal business groups and domain experts to develop problems, gather requirements, and design advanced analytics solutions.
  • Collaborate with team members and other Data and Analytics interns to design, develop, and deliver advanced analytics projects.
  • Perform data discovery, exploratory analysis, and data profiling activities using Python, SQL, and PowerBI.
  • Perform ETL, data engineering, and data wrangling in Python and SQL supporting advanced analytics projects.
  • Develop advanced analytics models (machine learning, statistical, mathematical, or computational models) using Python to solve industry problems.
  • Develop data visualizations and dashboards using PowerBI to display and present advanced analytical model results as well as descriptive and exploratory analytics.
  • Effectively communicate and present advanced analytics model results and project outcomes.
  • Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth.
  • Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning.
  • Perform any additional responsibilities as requested or assigned.

Performance Expectations

  • Perform responsibilities as directed within determined time frames and with a high degree of accuracy.
  • Establish and maintain effective work relationships within the department and the company.
  • Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training.
  • Maintain sensitive and confidential information regarding company information.
  • Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules.
  • Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.

Skills for Success

  • Effective oral and written communication skills.
  • Effective analytical and problem-solving skills.
  • Effective interpersonal skills and customer relationship skills
  • Ability to prioritize and handle multiple tasks and projects concurrently.
  • Experience using Python to develop machine learning or statistical models.
  • Experience using SQL to work with database tables and ETL processes.
  • Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred.

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