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Data Engineer Python Jobs in Ohio (NOW HIRING)

Prophecy Technologies

Data Engineer - GCP

Dublin, OH · On-site

$110.30K - $132.50K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale ... Develop pipelines using Java, Python, GCP Dataflow, and Apache Airflow . * Design and implement ...

Synergy

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107.90K - $129.60K/yr

Develop and maintain data transformations, ML workflows, and automation scripts using Python and ... Strong programming knowledge in Python and SQL (Java or C++ is a plus). Experience with Palantir ...

RHINESTAHL CORPORATION

Data Engineer

Mason, OH

$107.70K - $129.30K/yr

Experience with Python, PySpark, Spark SQL, or comparable scripting/programming tools used in modern data engineering. * Experience designing and implementing data lake, lakehouse, or data warehouse ...

RH Aero Systems

Data Engineer

Mason, OH · On-site

$107.70K - $129.30K/yr

Experience with Python, PySpark, Spark SQL, or comparable scripting/programming tools used in modern data engineering. * Experience designing and implementing data lake, lakehouse, or data warehouse ...

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

Sarian, Inc.

GCP Data Engineer

Brooklyn, OH · On-site

$107.40K - $129K/yr

Role: GCP Data Engineer Location: Brooklyn, OH Fulltime position Onsite position JD: * GCP Data ... Python. * Teraform. * Google Pub/Sub. * Salesforce data integration experience. * Oracle/SQL server ...

campus4tech

Azure Data Engineer

Cincinnati, OH · On-site

$111.70K - $134.20K/yr

Requirements • 7+ years of experience as a Data Engineer • Hands-on experience with Azure Databricks, Spark, and Python • Experience with Delta Live Tables (DLT) and Databricks SQL • Strong ...

Deloitte

Databricks Data Engineer

Cincinnati, OH

$109.90K - $131.90K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Deloitte

Databricks Data Engineer

Columbus, OH

$110.60K - $132.80K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Deloitte

Databricks Data Engineer

Cleveland, OH · On-site

$111K - $133.40K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Zer04 Consulting LLC

Lead Data Engineer

Cincinnati, OH

$109.90K - $131.90K/yr

Strong proficiency in SQL and Python, with experience building and maintaining production-grade ... Familiarity with Azure Synapse, Data Lake, Purview, and/or DevOps is a plus * A bachelor's degree ...

Apidel Technologies

Data Engineer Level 2

Blue Ash, OH

$105.20K - $126.30K/yr

The team is seeking a Data Engineer experienced in implementing modern data solutions in Azure, with strong hands-on skills in Databricks, Spark, Python, and cloud-based DataOps practices. The Data ...

Purple Drive Technologies

Senior Data Engineer

Columbus, OH · On-site

$102.40K - $139.10K/yr

Role Overview We are seeking a Data Engineer with strong expertise in Databricks, Python, and PySpark , coupled with experience in CI/CD pipelines. The ideal candidate will have a solid background 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 ...

Paychex

Data Engineer

Cincinnati, OH

$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 ...

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 ...

Pwc

GenAI Python Systems Engineer-Manager

Cincinnati, OH · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Visa

Data Engineer

Mentor, OH · On-site

$98.40K/yr

Apply your data engineering skills with Spark and Python to build and maintain data pipelines. * Analyze business requirements to design data solutions. * Follow software best practices. * Work as a ...

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All JobsData Engineer Python JobsData Engineer Python Jobs in Ohio

Data Engineer Python information

See Ohio salary details

$21.9K

$133.1K

$192.5K

How much do data engineer python jobs pay per year?

As of May 31, 2026, the average yearly pay for data engineer python in Ohio is $133,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $156,400.00 per year, depending on experience, location, and employer.

What is a Data Engineer Python job?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

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

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

What are the typical daily responsibilities of a Data Engineer Python?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.
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Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in Ohio as of May 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 85% In-person, 12% Hybrid, and 3% Remote job distribution, with an average salary of $133,070 per year, or $64 per hour.

Data Engineer - GCP

Prophecy Technologies

Dublin, OH • On-site

$110.30K - $132.50K/yr

Full-time

Posted 12 days ago

Job description

Job Summary
The Senior Data Engineer will design, build, optimize, and support enterprise-scale data pipelines within a hybrid big data architecture, primarily on Google Cloud Platform (GCP). This role focuses on data ingestion, transformation, governance, and curation while ensuring performance, cost efficiency, security, and compliance with enterprise standards.
Role Descriptions / Responsibilities
  • Re-write and enhance existing data pipelines to meet evolving business needs.
  • Design and build production-grade data pipelines from ingestion to consumption in a hybrid big data environment.
  • Develop pipelines using Java, Python, GCP Dataflow, and Apache Airflow.
  • Design and implement Collibra workflows using Java.
  • Design and implement data ingestion, transformation, and curation solutions using GCP-native and custom frameworks.
  • Optimize data pipelines for performance, scalability, and cost efficiency across large-scale data lakes.
  • Ensure technical specifications align with business requirements and enterprise architecture standards.
  • Partner with external consultants, solution providers, and managed services teams to deliver compliant and scalable solutions.
  • Collaborate across multiple teams to track project progress, identify risks, and communicate status and impacts to leadership.
  • Proactively propose process, platform, and technical improvements.
  • Ensure platforms and tools meet data security, audit, and compliance requirements.
  • Apply best practices for frameworks, naming conventions, scripting, and coding standards.
  • Communicate technical concepts clearly to non-technical stakeholders.

Essential Skills & Qualifications
  • Bachelor's degree or equivalent work experience.
  • 8+ years of engineering experience in Big Data, Data Analytics, and Data Integration.
  • 2+ years of hands-on experience in GCP Data Engineering and Cloud Analytics solutions.
  • 5+ years of programming experience with:
  • Python
  • Java
  • Spring Boot, Spring MVC
  • REST API development
  • Hands-on experience with CI/CD pipelines (Concourse, Jenkins).
  • Experience with GCP Data Ingestion technologies:
  • Dataflow
  • Fusion
  • Airflow
  • Experience designing and optimizing data models using BigQuery.
  • Experience integrating KMS / HSM solutions with GCP data services.
  • Experience implementing metadata management solutions on GCP.
  • Strong verbal and written communication skills

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