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Python Sql Jobs in Ohio (NOW HIRING)

Narwal

Senior Data Analyst

Mason, OH · On-site

$80.90K - $102K/yr

Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc) * Knowledge of Big Data landscape as ...

CYNET SYSTEMS

Palantir Lead / Architect

Raymond, OH · On-site

$75 - $80/hr

Proficiency in Python and SQL. * Experience with data governance and data quality frameworks. * Ability to work in client-facing environments and drive technical discussions. Should Have:

CareSource

Technical Delivery Lead

Dayton, OH · On-site

Python-based services, automation, and AI pipelines * SQL-based data processing and analytics solutions * Design systems for high-volume transaction processing and scalability * Drive best practices ...

CareSource

Technical Delivery Lead

Dayton, OH · On-site +1

Python-based services, automation, and AI pipelines * SQL-based data processing and analytics solutions * Design systems for high-volume transaction processing and scalability * Drive best practices ...

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How much do python sql jobs pay per hour?

As of May 30, 2026, the average hourly pay for python sql in Ohio is $55.73, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $63.32 per hour, depending on experience, location, and employer.

What is a Python SQL job?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are the key skills and qualifications needed to thrive in the Python Sql position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.
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Python Sql jobs near you

Data Analytics Engineer

Kanak Elite Services Inc

Cincinnati, OH • On-site

$109.90K - $131.90K/yr

Contractor

Posted 23 days ago

Job description

Hi,
Hope your are doing well. 

My name is Anjali, and I am a Sr Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, share me your updated resume on anjali08@kanakits.com.  


Role: DATA ANALYTICS ENGINEER

Location: Cincinnati, OH (onsite)

We are forward-thinking organization committed to harnessing the power of data to drive business success. We are seeking a skilled Data Visualization Developer with expertise in Spotfire and AWS Redshift to join our team and help us build and maintain robust data infrastructure.

 

Responsibilities:

  • Design, develop, and maintain reports using Tibco Spotfire
  • Optimize and manage existing reports.
  • Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Monitor and troubleshoot data pipeline issues, ensuring timely resolution.
  • Develop and maintain documentation for data processes and architecture.
  • Stay updated with the latest trends and best practices in data engineering and AWS technologies.

 

Requirements:

  • Bachelor's degree in computer science, Information Technology, or related field.
  • Proven experience as a Data Engineer, with a focus on AWS Redshift.
  • Strong proficiency in SQL and database management.
  • Strong proficiency in Tibco Spotfire.
  • Familiarity with AWS services such as AWS Quick sight, AWS redshift
  • Knowledge of data warehousing concepts and best practices.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively.
  • Knowledge on CICD process

 

Preferred Qualifications:

  • Certifications in Tibco Spotfire
  • Knowledge of programming languages such as Python, SQL etc.
  • Understanding of data governance and security practices.