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Mid Level Python Developer Jobs in Indiana (NOW HIRING)

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Strong proficiency in Python and Spark * Experience developing and optimizing ETL/ELT pipelines

Data Engineer

Granger, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Strong proficiency in Python and Spark * Experience developing and optimizing ETL/ELT pipelines

Data Engineer

Mishawaka, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Strong proficiency in Python and Spark * Experience developing and optimizing ETL/ELT pipelines

Data Engineer

Osceola, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Strong proficiency in Python and Spark * Experience developing and optimizing ETL/ELT pipelines

New

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Strong proficiency in Python and Spark * Experience developing and optimizing ETL/ELT pipelines

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Strong proficiency in Python and Spark * Experience developing and optimizing ETL/ELT pipelines

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Strong proficiency in Python and Spark * Experience developing and optimizing ETL/ELT pipelines

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Strong proficiency in Python and Spark * Experience developing and optimizing ETL/ELT pipelines

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Strong proficiency in Python and Spark * Experience developing and optimizing ETL/ELT pipelines

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Strong proficiency in Python and Spark * Experience developing and optimizing ETL/ELT pipelines

Data Engineer

Mishawaka, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Strong proficiency in Python and Spark * Experience developing and optimizing ETL/ELT pipelines

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Mid Level Python Developer information

See Indiana salary details

$12

$55

$82

How much do mid level python developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for mid level python developer 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 are the most commonly searched types of Python Developer jobs in Indiana? The most popular types of Python Developer jobs in Indiana are:
What cities in Indiana are hiring for Mid Level Python Developer jobs? Cities in Indiana with the most Mid Level Python Developer job openings:

Data Engineer

CFS

South Bend, IN • Hybrid

$150K/yr

Full-time

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


Job description

Data Engineer
Location: South Bend, IN (Hybrid)
Salary: Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level)

About the Role

An organization in South Bend, IN is seeking a Data Engineer to play a critical role in building and optimizing a centralized enterprise data platform. This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark.

As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high-performance data delivery across the enterprise.

This is a highly visible role working closely with analytics, IT, and business stakeholders to support enterprise-wide reporting, operational intelligence, and long-term data strategy.

What We're Looking For

Must-Have Skills

  • Strong experience with Azure data services (Azure Data Factory, Azure SQL, Synapse, etc.)
  • Hands-on experience with Databricks
  • Strong proficiency in Python and Spark
  • Experience developing and optimizing ETL/ELT pipelines
  • Background working with legacy Microsoft tools such as SSIS and SSRS
  • Deep understanding of data modeling, transformation logic, and pipeline architecture
  • Experience consolidating data into centralized or cloud-based platforms
  • Strong SQL skills
  • Ability to troubleshoot performance issues and optimize large-scale datasets
  • Strong communication skills and ability to collaborate cross-functionally

Nice-to-Have

  • Experience supporting enterprise BI/reporting environments
  • Exposure to ERP, operational, or transactional data systems
  • Experience in manufacturing, agriculture, supply chain, or similar industries
  • Familiarity with data governance and best practices

Key Responsibilities

Data Engineering & Platform Development

  • Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark
  • Migrate and modernize legacy SSIS/SSRS workflows into the centralized data platform
  • Develop robust ETL/ELT processes to integrate data from multiple enterprise systems

Data Architecture & Optimization

  • Support the design of a unified enterprise data model
  • Optimize data processing performance and reliability
  • Ensure data quality, validation, and integrity across pipelines

Collaboration & Strategy

  • Partner with BI, analytics, and business teams to support enterprise reporting needs
  • Contribute to data standards, governance, and architectural best practices
  • Support the organization's transition to a modern, centralized data ecosystem
Click here to apply online