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Python Jobs in Indiana (NOW HIRING)

EndoSec LLC

FPGA Engineer

Indianapolis, IN · On-site

$124K - $159K/yr

Description Apply Now RTL, C/C++, Python, VHDL, Verilog, Tcl, cryptography, hardware, embedded software, System Integration, Hardware Security, Xilinx, Simulation, IP core, Versal, Stratix, concept ...

Merchants Bank of Indiana

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

Design, build, and optimize ETL/ELT pipelines utilizing Microsoft Fabric Notebooks (Python) and Fabric Pipelines. * Utilize CI/CD pipelines (Azure DevOps, Git-based workflows, Fabric deployment ...

Wipro Limited

TECHNO FUNCTIONAL CONSULTANT L1

Chandler, IN · On-site

$60K - $135K/yr

Knowledge in Python coding; Knowledge in Bash coding; DESIRED_SKILL: Knowledge of Linux operating systems Knowledge of Container technology Knowledge of Kubernetes technology Knowledge of Redhat ...

EndoSec LLC

FPGA Engineer

Lafayette, IN · On-site

$125K - $160K/yr

Description Apply Now RTL, C/C++, Python, VHDL, Verilog, Tcl, cryptography, hardware, embedded software, System Integration, Hardware Security, Xilinx, Simulation, IP core, Versal, Stratix, concept ...

Wipro Limited

TECHNO FUNCTIONAL CONSULTANT L1

Chandler, IN · On-site

$60K - $135K/yr

Knowledge in Python coding; Knowledge in Bash coding; DESIRED_SKILL: Knowledge of Linux operating systems Knowledge of Container technology Knowledge of Kubernetes technology Knowledge of Redhat ...

KYYBA

Be Seen First

IT Systems Engineer

Warsaw, IN · On-site

Develop automation scripts using Python, PowerShell, or Bash. * Implement security best practices, patching, vulnerability remediation, and disaster recovery processes. * Provide Tier 3 support and ...

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Python information

See Indiana salary details

$12

$55

$82

How much do python jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python in Indiana is $55.78, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $63.37 per hour, depending on experience, location, and employer.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve working in environments that emphasize scripting, data processing, or web development.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What jobs can I get in Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity analyst. These jobs often require knowledge of frameworks like Django or Flask, data analysis libraries such as Pandas, and proficiency in scripting and problem-solving. Python skills are valuable across industries like technology, finance, healthcare, and research.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What jobs in the US pay 300,000 a year?

In the US, high-paying roles for Python developers typically include senior software engineers, data scientists, machine learning engineers, and technical leads, especially in finance, technology, and consulting firms. These positions often require advanced skills, extensive experience, and sometimes specialized certifications, with salaries reaching or exceeding $300,000 annually in competitive markets.

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

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What Is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

More about Python jobs
What are the most commonly searched types of Python jobs in Indiana? The most popular types of Python jobs in Indiana are:
What are popular job titles related to Python jobs in Indiana? For Python jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Python jobs in Indiana look for? The top searched job categories for Python jobs in Indiana are:
What cities in Indiana are hiring for Python jobs? Cities in Indiana with the most Python job openings:
Python jobs near you
Infographic showing various Python job openings in Indiana as of June 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $116,026 per year, or $55.8 per hour.

Data Engineer - Databricks (No Sponsorship Available)

Heritage Construction + Materials

Indianapolis, IN • On-site

$100K - $120K/yr

Full-time

Posted 2 days ago

Job description

Job Summary:
Heritage Construction + Materials is a family-owned business focused on infrastructure building and road construction services. They are seeking a highly skilled Data Engineer to design, develop, and implement their cloud data platform, optimizing data operations and supporting analytics initiatives.
Responsibilities:
• Design, implement, and maintain scalable data pipelines within a cloud data platform (Azure preferred)
• Build, optimize, and manage Databricks clusters, ensuring performance, cost efficiency, and reliable job execution
• Develop and maintain Delta Lake tables, pipelines, and storage patterns to ensure data quality, versioning, and performance
• Integrate Databricks with Azure services such as Azure Data Factory, ADLS, and Azure DevOps
• Support the implementation of a new cloud-based data warehouse, defining architecture, governance, and standards
• Build and automate CI/CD pipelines for data workflows using Azure DevOps
• Design and implement monitoring solutions using Databricks monitoring tools, Azure Log Analytics, or custom dashboards
• Collaborate with business and technical stakeholders to identify high‑value data engineering and analytics opportunities and contribute to data governance initiatives
• Apply modern data engineering best practices to support advanced use cases involving NLP, predictive analytics, and automation
• Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company’s core values, competencies, and skills.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field required
• 3+ years of experience in data engineering or cloud data architecture
• Expertise in Databricks or Snowflake Cloud Data Platforms
• Expertise with programming languages such as Python and/or SQL
• Experience with Python Data Science Libraries (PySpark, Pandas, etc.)
• Experience with Test Drive Development (TDD)
• Automated CI/CD Pipelines
• Linux / Bash / Docker
• Database Schema Design and Optimization
• Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
• Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines)
• Strong analytical and problem-solving skills
• Experience with programming languages such as Python, Java, R, or SQL
• Experience with Databricks or Snowflake Cloud Data Platforms
• Knowledge of statistical analysis and data visualization tools, such as PowerBI or Tableau
• Proficient in Microsoft Office
Preferred:
• Experience with Azure services such as Azure Data Factory, ADLS, and Azure DevOps
• Experience with Databricks monitoring tools, Azure Log Analytics, or custom dashboards
• Apply modern data engineering best practices to support advanced use cases involving NLP, predictive analytics, and automation
Company:
Heritage Construction + Materials is part of a family business committed to providing our customers with innovative solutions. Founded in , the company is headquartered in Indianapolis, Indiana, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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