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Internship Python Sql Developer Jobs in Cincinnati, OH

... programming languages (Python, SQL), or technologies in the development of technical analytics solutions, capabilities, and ad hoc analyses. * Experience working cross-functionally to continuously ...

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

PostgreSQL Developer DBA

Cincinnati, OH · On-site

$48 - $60/hr

SQL * Advanced Query Tuning * Database Performance Optimization * Database Monitoring * Schema ... Infrastructure as a code (Terraform, Python Scripting, Query performance tuning and Postgres DBA ...

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... SQL query development * Thorough data compilation, programming skills and qualitative analysis ...

Sr. Software Developer

Cincinnati, OH · On-site

$52.25 - $69.25/hr

Sr. Software Developer This position is a hands-on technologist responsible for the operational ... PowerShell, Bash, Python, Go). * Strong SQL and PL/SQL expertise, including the ability to ...

Internship experience in Data or Software Engineering; * Knowledge of developing dimensional data ... Knowledge of Python is preferred; * Knowledge of REST API; * Basic knowledge of SQL Server ...

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face, TensorFlow, Keras ...

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Internship Python Sql Developer information

See Cincinnati, OH salary details

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How much do internship python sql developer jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for internship python sql developer in Cincinnati, OH is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.89 per hour, depending on experience, location, and employer.

What does an Internship Python SQL Developer do?

An Internship Python SQL Developer is typically responsible for assisting with the design, development, and maintenance of applications that use Python programming and SQL databases. Interns in this role often help write and optimize queries, automate data processing tasks, and support software development teams in building data-driven solutions. They also learn best practices in coding, database management, and may participate in troubleshooting or debugging issues under the guidance of senior developers. The internship provides hands-on experience with real-world projects, helping interns build their technical skills and prepare for a career in software development.

What is the difference between Internship Python Sql Developer vs Python Sql Developer?

AspectInternship Python Sql DeveloperPython Sql Developer
QualificationsEnrolled in or recent graduate of relevant programBachelor's degree in Computer Science or related field, certifications preferred
Work EnvironmentInternship, supervised, entry-level projectsFull-time, professional projects, collaborative teams
ResponsibilitiesAssisting with data queries, learning SQL and Python basicsDeveloping and maintaining SQL databases, scripting in Python, data analysis

In summary, an Internship Python Sql Developer is an entry-level position aimed at learning and gaining experience, while a Python Sql Developer is a full-time professional role with more responsibilities and expectations. Internships serve as a stepping stone toward becoming a full developer.

What types of projects and tasks can I expect as an Internship Python SQL Developer?

As an Internship Python SQL Developer, you'll typically work on real-world projects that involve writing and optimizing SQL queries, developing Python scripts to automate data processing, and supporting database management tasks. You may assist with data extraction, transformation, and loading (ETL) processes, help troubleshoot data issues, and collaborate closely with senior developers and data analysts. This hands-on experience allows you to gain a deeper understanding of database structures and software development workflows, while also enhancing your problem-solving skills in a professional environment.

What are the key skills and qualifications needed to thrive as an Internship Python SQL Developer, and why are they important?

To thrive as an Internship Python SQL Developer, you need a foundational knowledge of Python programming, SQL databases, and basic software development concepts, usually evidenced by coursework or relevant projects. Familiarity with tools like MySQL, PostgreSQL, version control systems such as Git, and possibly cloud platforms is highly beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly will help you stand out. These skills and qualities are crucial for efficiently building, maintaining, and optimizing database-driven applications in a collaborative tech environment.
What are popular job titles related to Internship Python Sql Developer jobs in Cincinnati, OH? For Internship Python Sql Developer jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Internship Python Sql Developer jobs in Cincinnati, OH look for? The top searched job categories for Internship Python Sql Developer jobs in Cincinnati, OH are:
Infographic showing various Internship Python Sql Developer job openings in Cincinnati, OH as of June 2026, with employment types broken down into 81% Full Time, 5% Part Time, 1% Temporary, and 13% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $116,991 per year, or $56.2 per hour.

Senior Data Scientist (P1553)

84.51°

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

84.51° Overview:
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5-day in-office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)
You will be joining a team of data scientists operating within the PL&S at 84.51°. Our team partners across multiple portfolios, including Our Brands, Kroger Personal Finance, and the Kroger Enterprise Marketing organization, to support media strategy & execution, targeting, measurement, and enterprise level marketing initiatives.
We work closely with the Our Brands and Kroger Personal Finance teams to plan, execute and measure targeted media and deliver insights that drive growth and efficiency. The team leads the execution of brand loyalty mailers for the Big 3 Our Brands, with a focus on rewarding high-brand-loyal households that drive the greatest business value. We also collaborate with Kroger Marketing to execute and measure activations across a range of initiatives, ensuring data driven insights inform business decisions.
Our team is known for being subject matter experts of KPM processes for Kroger Model and owners of a broad set of analytical and external-facing tools. We solve complex client and customer problems by applying the most appropriate statistical and analytic approaches to answer meaningful business questions. In this role, you will be on the front lines supporting Sales and Account Management partners, while also developing deep expertise in retailer data.
You will work hands-on with large-scale retailer databases and leverage the full suite of 84.51° technical and visualization tools, including Python, SQL, Excel, Power BI, and internal platforms, to deliver timely, relevant, and actionable insights. We expect all data scientists on our team to be deeply engaged in advanced analytics and comfortable working directly with data to drive impact.
Responsibilities:
  • Lead end-to-end analytics and data science projects, managing stakeholders and delivering solutions on time, within scope, and to business objectives.
  • Develop a strong understanding of the end-to-end CRM (Our Brands Loyalty Mailer) targeting and measurement process to ensure the timely, accurate delivery of mailers and the generation of actionable insights.
  • Apply optimizations and scientific enhancements in targeting to improve customer engagement and maximize ROI.
  • Partner closely with Sales and Account Management to own the analytic relationship for OB, driving engagement and shaping analytical offerings through feedback and insight.
  • Translate complex first-party data into clear, actionable customer stories and recommendations that inform media strategy, optimization, and business decisions.
  • Drive continuous improvement through stronger measurement methodology, increased automation, and clearer data visualization that leads to more actionable insights.
  • Attain deep expertise in 84.51° and KPM data assets, measurement techniques, QA processes, and analytic capabilities, confidently applying them to internal and external business needs.
  • Collaborate across data science, product, engineering, and capabilities teams to validate new use cases, assess data quality, and support innovation.
  • Mentor and support junior data scientists through onboarding, coaching, and knowledge sharing, while championing best practices across the data science community.

Qualifications, Skills and Experience:
  • Bachelor's degree in statistics, mathematics, business analytics, economics, marketing, or related discipline.
  • 2+ years of experience in retail, ad technology, digital media, and/or advertising analytics.
  • 2+ years of experience in data science, ad technology, digital media, and/or advertising analytics.
  • 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients.
  • 2+ years of experience using advanced algorithms, programming languages (Python, SQL), or technologies in the development of technical analytics solutions, capabilities, and ad hoc analyses.
  • Experience working cross-functionally to continuously improve existing solutions based on client feedback and validated demand.
  • Strong interpersonal and communication skills including excellent verbal, written, presentation, and consultation skills.
  • Comfortable conveying complex data science techniques and methodological approaches to less technical audiences - both internal and external.
  • Strong analytical, problem-solving and decision-making skills.
  • Strong data visualization and business acumen skills to link analysis to business impact (grocery and/or retail experience is a plus).
  • Natural curiosity that welcomes and embraces ambiguity and change, with a willingness to try new things and to fail.
  • Excellent attention to detail, organization skills and ability to work in a collaborative environment.

#LI-AB1
Pay Transparency and Benefits
  • The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
  • Below is a list of some of the benefits we offer our associates:
    • Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
    • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
    • Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range
$98,000-$169,050 USD