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Python Automation Testing Jobs in Hamilton, OH (NOW HIRING)

LTM

Associate Principal - Data Engineering

Cincinnati, OH

$109.90K - $132K/yr

... Python Engineering Primary Focus Build Pythonbased data services automation scripts and utility ... testing with Testcontainers oType hints docstrings and modular design patterns oVirtual ...

Apidel Technologies

Data Engineer Level 2

Blue Ash, OH · On-site

$105.20K - $126.30K/yr

This role also supports cloud infrastructure automation and CI/CD using Terraform, GitHub, and ... and Python Experience with Delta Live Tables (DLT) or Databricks SQL Strong SQL and database ...

JConnect Infotech

Linux Engineer

Cincinnati, OH

... testing for Linux systems. • Manage system implementations or upgrades as projects arise as well ... Bash, Python) and automation tools (Ansible, Puppet, Terriform). • Familiarity with ...

Avanade

Junior DevOps Engineer

Cincinnati, OH · On-site

$51.50 - $70.50/hr

... scanning, testing, and policy enforcement • Leverage automation and AI-assisted tooling (e.g ... Bash, or Python) • Exposure to cloud platforms (Azure, AWS, or GCP) and basic services • ...

TQL

Senior Database Engineer

Cincinnati, OH

$101.70K - $138.10K/yr

Conduct performance/stress testing in partnership with App Dev and Performance Engineers. Identify ... Python, PowerShell) for automation tasks. Exposure to and understanding of AI models to accelerate ...

Cynet Systems

Senior Java Developer

Mason, OH

$53 - $58/hr

Python for scripting/automation. * Security: OAuth2/OIDC, JWT, OWASP. * Infrastructure as Code ... Experience with CI/CD, Git, Maven/Gradle, and automated testing. * Strong troubleshooting and ...

Cryptic Vector

Full Stack Developer

West Chester, OH · On-site

Develop and maintain scripting automation in Bash, Python, or other languages to support deployment ... Implement comprehensive automated testing suites: unit tests, integration tests, functional/end-to ...

Cryptic Vector

Full Stack Developer

West Chester, OH

Develop and maintain scripting automation in Bash, Python, or other languages to support deployment ... Implement comprehensive automated testing suites: unit tests, integration tests, functional/end-to ...

Cryptic Vector

Full Stack Developer

Liberty Township, OH · On-site

Develop and maintain scripting automation in Bash, Python, or other languages to support deployment ... Implement comprehensive automated testing suites: unit tests, integration tests, functional/end-to ...

My3Tech Inc

Functional Data Analyst

Cincinnati, OH

... automation processes • Problem solve and investigate issues • Participate in all phases of ... Python/R, SQL, PowerBI (especially with DAX) Basic Qualification : Additional Skills : Background ...

Belcan

Windows Engineer

Cincinnati, OH · Hybrid

Proven automation/scripting experience with PowerShell (preferred) and/or Python, including ... planning, testing rings, phased deployments, compliance reporting, exception management)

Belcan, LLC

Windows Engineer

Cincinnati, OH · Hybrid

Proven automation/scripting experience with PowerShell (preferred) and/or Python, including ... planning, testing rings, phased deployments, compliance reporting, exception management)

Belcan

Windows Engineer

Cincinnati, OH · On-site

Proven automation/scripting experience with PowerShell (preferred) and/or Python, including ... planning, testing rings, phased deployments, compliance reporting, exception management)

Deloitte

Agentic Delivery Engineer

Cincinnati, OH · On-site

Contribute to CI/CD, DevSecOps, testing, and release-readiness activities across delivery teams ... Experience using at least one CI/CD, DevSecOps, or automation toolchain in delivery environments

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How much do python automation testing jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for python automation testing in Hamilton, OH is $47.76, according to ZipRecruiter salary data. Most workers in this role earn between $41.20 and $54.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Automation Testing professional, and why are they important?

To thrive as a Python Automation Testing professional, you need strong proficiency in Python programming, knowledge of software testing methodologies, and experience with test automation frameworks, often supported by a degree in computer science or a related field. Familiarity with tools such as Selenium, PyTest, Jenkins, and version control systems like Git is typically required, along with certifications like ISTQB being advantageous. Analytical thinking, attention to detail, and effective communication skills help testers identify issues, collaborate with teams, and document findings clearly. These competencies ensure the creation of reliable, maintainable automated tests that improve software quality and streamline development cycles.

What are some common challenges faced in a Python Automation Testing role, and how can they be addressed?

One common challenge in Python Automation Testing is maintaining test scripts as applications evolve, which can lead to flaky tests or outdated scripts. To address this, it's important to implement modular and reusable code, and regularly review and refactor test cases. Collaborating closely with developers and participating in code reviews can also help testers anticipate changes and adapt their tests proactively. Additionally, integrating robust reporting and logging mechanisms helps quickly identify and resolve issues, ensuring the reliability of the automated test suite.

What is Python Automation Testing?

Python Automation Testing refers to the process of using Python programming language to write scripts that automatically test software applications. These scripts can validate functionality, performance, and reliability of software, reducing the need for manual testing and speeding up the development cycle. Python is popular for automation testing because of its readability, extensive libraries like Selenium and PyTest, and strong community support. Automation tests can be integrated into continuous integration pipelines to ensure consistent quality across software releases.

What is the difference between Python Automation Testing vs Manual Software Testing?

AspectPython Automation TestingManual Software Testing
Required SkillsPython programming, automation tools, scriptingTest case execution, attention to detail, communication
Work EnvironmentAutomated testing frameworks, scripting environmentsTest labs, user environments, manual execution
Industry UsageSoftware development, QA teams, continuous integrationInitial testing phases, exploratory testing, user acceptance

Python Automation Testing involves writing scripts to automate test cases, increasing efficiency and repeatability. Manual Software Testing requires testers to execute test cases manually, focusing on exploratory and usability aspects. Both roles are essential in software quality assurance, but Python Automation Testing emphasizes automation skills, while manual testing emphasizes detailed test execution and observation.

What are popular job titles related to Python Automation Testing jobs in Hamilton, OH? For Python Automation Testing jobs in Hamilton, OH, the most frequently searched job titles are:
What job categories do people searching Python Automation Testing jobs in Hamilton, OH look for? The top searched job categories for Python Automation Testing jobs in Hamilton, OH are:
What cities near Hamilton, OH are hiring for Python Automation Testing jobs? Cities near Hamilton, OH with the most Python Automation Testing job openings:
Python Automation Testing jobs near you
Infographic showing various Python Automation Testing job openings in Hamilton, OH as of May 2026, with employment types broken down into 91% Full Time, 3% Part Time, 5% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $99,345 per year, or $47.8 per hour.

Associate Principal - Data Engineering

LTM

Cincinnati, OH

$109.90K - $132K/yr

Other

Posted 13 days ago

Job description

Role description
Job Description JD Developer Senior Developer PySpark Python Data Engineering
Primary skills are pysparkpython Developer
Location India Global Delivery Center Regional Hub
Function Development Services Data Engineering Analytics Digital Emerging Tech
Industry MultiNational FMCG
Cloud Strategy HyperscalerFirst AzureGCPAWS with Databricks Delta Lake
Level Developer Senior Developer
Key Responsibilities
PySpark Development Primary Focus
Design and develop productiongrade PySpark applications for largescale batch and streaming data processing
Implement advanced PySpark DataFrame API operations
oComplex transformations Window functions PivotUnpivot and nested struct handling
oMultidataset joins Broadcast joins SortMerge joins and skewhandling strategies
oCustom UDFs User Defined Functions and Pandas UDFs Vectorized UDFs for performancecritical transformations
oAggregations and GroupBy operations optimized for large FMCG datasets
Implement PySpark Structured Streaming for realtime data processing
oKafka Azure Event Hubs GCP PubSub as streaming sources
oWatermarking and windowing strategies for latearriving data
oStateful streaming operations using mapGroupsWithState
oExactlyonce and atleastonce delivery semantics
Apply advanced Spark Performance Tuning techniques
oPartition optimization repartition vs coalesce strategies
oHandling data skew using salting and custom partitioners
oBroadcast variable management and accumulator usage
oCatalyst optimizer hints and AQE Adaptive Query Execution tuning
oExecutor sizing memory fractions and parallelism configuration
Develop and maintain reusable PySpark libraries for shared data processing capabilities
Python Engineering Primary Focus
Build Pythonbased data services automation scripts and utility frameworks supporting the data platform
Develop REST API integrations using Python requests httpx for consuming SAP OData Salesforce and thirdparty FMCG APIs
Implement data validation and reconciliation frameworks using Python Great Expectations Pandera
Build Pythonbased orchestration scripts and helper utilities for Airflow DAGs and Databricks Workflows
Apply software engineering best practices
oUnit testing with pytest and integration testing with Testcontainers
oType hints docstrings and modular design patterns
oVirtual environments dependency management Poetrypip and packaging
Implement Pythonbased data quality checks Completeness consistency and conformity validations
Data Lakehouse Cloud Platform Primary Focus
Build and manage Data Lakehouse architectures on hyperscaler platforms
oAzure Databricks GCP Dataproc AWS EMR for Spark cluster management
oDelta Lake Apache Iceberg Apache Hudi for ACIDcompliant data lake storage
oMedallion Architecture BronzeSilverGold for progressive data refinement
Implement Delta Lake features
oACID transactions and schema enforcement
oTime Travel for data versioning and rollback
oDelta Live Tables DLT for declarative pipeline development
oOptimize and ZOrder for query performance acceleration
oChange Data Feed CDF for incremental data propagation
Manage Databricks Workflows and Job Clusters for production pipeline execution
Implement Databricks Auto Loader for incremental scalable data ingestion from cloud storage
Utilize Unity Catalog for data governance lineage and access control
Data Ingestion Integration
Build data ingestion pipelines from diverse FMCG data sources
oSAP S4HANA OData APIs BAPI extracts and IDocbased feeds
oSalesforce REST API Bulk API and Platform Events
oOperational Databases Oracle Cloud SQL Azure SQL and Cloud Spanner
oStreaming Sources Apache Kafka Azure Event Hubs and GCP PubSub
oFilebased Sources SFTP Azure Blob GCS and S3 CSV Parquet Avro JSON
Implement Change Data Capture CDC patterns for realtime database synchronization
Design schema evolution strategies to handle upstream data model changes gracefully
Publish processed data to downstream consumers
oBigQuery Azure Synapse Snowflake for BI and analytics
oFeature Stores FeastDatabricks for AIML model training
oPower BI Looker for business reporting
SQL Data Modeling
Write and optimize complex SQL queries for data extraction transformation and validation
Design data warehouse schemas Star and Snowflake models for FMCG analytics domains
Implement Spark SQL for largescale analytical query processing
Develop data quality SQL checks and reconciliation frameworks
Optimize SQL performance Query plans partition pruning and predicate pushdown

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