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Python Data Developer Jobs in Mason, OH (NOW HIRING)

Javen Technologies, Inc

Data Engineer III

Cincinnati, OH · On-site

$109.90K - $132K/yr

Python, Java, or J2EE Job Summary: We are seeking a highly analytical and collaborative Data Engineering Contractor to support a critical data migration initiative within our commercial lending ...

dunnhumby

Senior Applied Data Scientist

Cincinnati, OH · On-site +1

Programming experience on any standard data mining and modelling packages such as Python and R; and * Applying advanced statistical models and machine learning algorithms to develop and implement ...

RH Aero Systems

Data Engineer

Mason, OH · On-site

$107.70K - $129.30K/yr

This is not a report developer role. This is a platform building role for a technically strong ... Experience with Python, PySpark, Spark SQL, or comparable scripting/programming tools used in ...

Syntricate Technologies

Data Engineer

Cincinnati, OH · On-site

$109.90K - $132K/yr

Data Engineer Location: Cincinnati, OH Fulltime only * 7+ plus years of experience in solutioning ... Strong command on Python, Pyspark , SQL & Power BI * Experience in GitHub , Git Action , Jira end ...

RH Aero Systems

Data Engineer

Mason, OH · On-site

$107.70K - $129.30K/yr

This is not a report developer role. This is a platform building role for a technically strong ... Experience with Python, PySpark, Spark SQL, or comparable scripting/programming tools used in ...

RHINESTAHL CORPORATION

Data Engineer

Mason, OH

$107.70K - $129.30K/yr

This is not a report developer role. This is a platform building role for a technically strong ... Experience with Python, PySpark, Spark SQL, or comparable scripting/programming tools used in ...

Medpace

Data Engineer

Cincinnati, OH · On-site

$111.70K - $134.20K/yr

The Data Engineer will be responsible for developing and supporting data systems, utilizing skills ... Python • Knowledge of REST API • Knowledge of C#, Azure development is a bonus Company

My3Tech Inc

Data Engineer Level 3

Cincinnati, OH · Hybrid

$109.90K - $132K/yr

... in Python, Scala, and SQL for data processing and API development. • Experience in building and managing APIs (REST, GraphQL, gRPC) and microservices. • Hands-on experience with Azure Data ...

Paycor

Data Engineer

Cincinnati, OH · On-site

$99.60K - $156.50K/yr

Python (Programming Language) - Preferred * SQL (Programming Language) - Preferred * Extract Transform Load (ETL) - Preferred * Data Pipelines - Preferred * Computer Science - Preferred * Apache ...

Vaco LLC

Data Architect / Data Engineers

Blue Ash, OH · Remote

$80 - $100/hr

... modern DevOps practices Support AI-ready data architectures where applicable Enablement ... SQL, Python, and enterprise data modeling (Kimball, Data Vault, or 3NF) Familiarity with data ...

My3Tech Inc

Data Engineer

Cincinnati, OH · On-site

$109.90K - $132K/yr

Data Pipeline Development: * Design, develop, and maintain robust and scalable ETL (Extract ... Proficiency in Python (mandatory). * Experience with other programming languages such as Java or ...

ComResource

Data Engineer

Cincinnati, OH

$109.90K - $131.90K/yr

ComResource is looking for a Data Engineer. Responsibilities: * Analyze existing SQL, DataStage ... Python, Java, or J2EE. * 3-5 years of experience building and maintaining data pipelines using ...

Vaco by Highspring

MS Fabric Data Engineer

Mason, OH

$107.70K - $129.30K/yr

This is not a report developer role. This is a platform building role for a technically strong ... Experience with Python, PySpark, Spark SQL, or comparable scripting/programming tools used in ...

Paychex

Data Engineer

Cincinnati, OH · On-site

$99.60K - $156.50K/yr

Python (Programming Language) - Preferred * SQL (Programming Language) - Preferred * Extract Transform Load (ETL) - Preferred * Data Pipelines - Preferred * Computer Science - Preferred * Apache ...

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How much do python data developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for python data developer in Mason, OH is $55.13, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $62.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Data Developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python Data Developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in Mason, OH? For Python Data Developer jobs in Mason, OH, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in Mason, OH look for? The top searched job categories for Python Data Developer jobs in Mason, OH are:
What cities near Mason, OH are hiring for Python Data Developer jobs? Cities near Mason, OH with the most Python Data Developer job openings:
Python Data Developer jobs near you
Data Engineer III

Data Engineer III

Javen Technologies, Inc

Cincinnati, OH • On-site

$109.90K - $132K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Engineering Contractor
Location: Cincinnati, OH (Onsite)
Duration: 7+ Months
Start Date: Immediate


TECHNICAL SKILLS:

Must Have

  • At least 5 years of experience working with relational and non-relational databases (e.g., SQL, Snowflake, DB2, MongoDB).
  • Minimum 5 years of experience analyzing legacy codebases (SQL, DataStage, SAS)
  • Python, Java, or J2EE

Job Summary:
We are seeking a highly analytical and collaborative Data Engineering Contractor to support a critical
data migration initiative within our commercial lending, underwriting, and reporting functions. This role
blends technical expertise with strong business analysis and stakeholder engagement. The contractor
will be responsible for deep analysis of legacy systems? Including SQL, DataStage, and SAS code? To
identify key data attributes, document current data usage, and assess downstream impacts.
Primary Responsibilities:

  • Analyze existing SQL, DataStage, and SAS code to extract business logic and identify critical data
    elements.
  • Create detailed inventories of current data usage across reporting and operational systems.
    Assess the impact of data migration on downstream processes, reports, and regulatory requirements.
  • Design, construct, install, test, and maintain scalable data management systems aligned with
    migration goals.
  • Collaborate with business stakeholders to gather requirements and translate them into actionable
    engineering tasks.
  • Integrate modern data management and software engineering technologies into existing data
    ecosystems.
  • Develop and optimize data pipelines for mining, modelling, and production.
    Create custom software components and analytics applications tailored to commercial lending and risk
    reporting.
  • Recommend improvements to enhance data reliability, quality, and performance.
    Implement and maintain disaster recovery procedures.

Qualifications:

  • Bachelor s degree in computer science, Information Systems, or related field; or equivalent work
    experience.
  • Minimum 5 years of experience analyzing legacy codebases (SQL, DataStage, SAS) and documenting
    business logic.
  • At least 5 years of experience working with relational and non-relational databases (e.g., SQL,
    Snowflake, DB2, MongoDB).
  • 3+ years of experience developing backend solutions using programming languages such as Python,
    Java, or J2EE.
  • 3-5 years of experience building and maintaining data pipelines using tools like DataStage, dbt, and
    other ETL frameworks.
  • Minimum 5 years of experience in business analysis, including stakeholder engagement and
    translating requirements into technical solutions.
  • Excellent communication and interpersonal skills; able to work effectively with technical and
    non-technical teams.
  • 2+ years of experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.
    Experience in financial services or banking, especially in commercial lending, underwriting, or
    regulatory reporting, is a strong plus.
  • Prior Agile experience is a strong plus.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.

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