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Data Engineer Python Jobs in Ohio (NOW HIRING)

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

Maintain and contribute to custom Python applications used across the team * Collaborate with ... a data engineering role * Strong SQL skills and a solid understanding of data modeling for ...

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107K - $129K/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 ...

Data Engineer

Columbus, OH

$110K - $132K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Experience with Python or similar programming languages. * Familiarity with AWS and/or GCP cloud ...

New

GCP Data Engineer

Brooklyn, OH · On-site

$107K - $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 ...

Azure Data Engineer

Cincinnati, OH · On-site

$111K - $134K/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 ...

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 ...

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 ...

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 ...

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Proficiency in SQL and one programming language (Python / PySpark preferred). * Experience in ETL/ELT tools and data integration frameworks. * Strong knowledge of data warehousing concepts and ...

Data Engineer

Westerville, OH · On-site

$111K - $133K/yr

Use SQL, Python, statistics, visualization, or other analytical techniques to profile data, test ... Approximately 3-5 years of experience in data engineering, database development, business ...

New

Data Engineer

Toledo, OH · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Bowling Green, OH · On-site

$107K - $129K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer Sr

Cleveland, OH · On-site

$111K - $133K/yr

Programming experience in Python or Scala. - Demonstrated analytical and problem-solving skills. - Familiarity with cloud platforms (e.g Azure , AWS ) and their data related services - Proactive and ...

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Showing results 1-20

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 Jul 17, 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.

Infographic showing various Data Engineer Python job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,070 per year, or $64 per hour.

Data Engineer (Remote)

Greenfield Talent

Cleveland, OH • Remote

$111K - $133K/yr

Full-time

Posted 23 days ago


Job description

We’re looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a hands‑on role where you’ll manage and evolve our ELT pipelines, Snowflake environment, and Python‑based integrations while partnering closely with analysts and systems administrators who rely on high‑quality, reliable data.

What You’ll Do
  • Own the day‑to‑day operation, maintenance, and enhancement of ELT pipelines and the Snowflake data warehouse

  • Troubleshoot and resolve pipeline failures, data quality issues, and performance bottlenecks

  • Design, build, and document new data models and transformations as analytical needs evolve

  • Ensure data reliability, consistency, and availability for downstream consumers

  • Support and extend API integration workflows built with Boomi and Python

  • Maintain and contribute to custom Python applications used across the team

  • Collaborate with internal stakeholders to scope and deliver new data integration projects

  • Participate in evaluating modern data tooling as we consider improvements to our architecture

  • Document systems, processes, and decisions to build long‑term institutional knowledge

What You Bring
  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field (preferred)

  • 3–5 years of hands‑on experience in a data engineering role

  • Strong SQL skills and a solid understanding of data modeling for analytics

  • Practical experience with Snowflake or a similar cloud data warehouse

  • Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.)

  • Working knowledge of Python for data processing and scripting

  • Experience with REST APIs and integrating external data sources

  • Comfort digging into unfamiliar systems to diagnose root‑cause issues

  • Experience using GitHub for version control

Nice to Have
  • Exposure to enterprise integration platforms (Boomi or similar iPaaS tools)

  • Experience with Oracle EBS or Salesforce

  • Familiarity with data pipeline orchestration concepts

  • Experience partnering closely with BI or analytics teams