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Senior Backend Developer Python Jobs in Indianapolis, IN

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Collaborate with backend engineers to integrate geospatial features into production systems ... Strong proficiency in Python for geospatial data analysis and modeling (GeoPandas, Shapely, Fiona ...

Moser Consulting

Senior DevOps Engineer

Indianapolis, IN · On-site

$85K - $152K/yr

Description We are looking for a Senior DevOps Engineer to design, automate, and optimize ... Proficiency with scripting and automation technologies such as Powershell, Python, Bash, and ...

Moser Consulting

Senior DevOps Engineer

Indianapolis, IN · On-site

$85K - $152K/yr

Description We are looking for a Senior DevOps Engineer to design, automate, and optimize ... Proficiency with scripting and automation technologies such as Powershell, Python, Bash, and ...

Allied Solutions LLC

Senior Data Engineer

Carmel, IN · On-site

$105K - $143K/yr

... back-end data side to achieve the expected results * Conducts gap analysis on source system ... Experience with R or Python (preferred) * Experience with Git and CI/CD (preferred) * Strong ...

Allied Solutions, LLC

Senior Data Engineer

Carmel, IN · On-site

$120 - $160/hr

... back-end data side to achieve the expected results * Conducts gap analysis on source system ... Experience with R or Python (preferred) * Experience with Git and CI/CD (preferred) * Strong ...

Allied Solutions LLC

Senior Data Engineer

Carmel, IN · On-site

$105K - $143K/yr

... back-end data side to achieve the expected results * Conducts gap analysis on source system ... Experience with R or Python (preferred) * Experience with Git and CI/CD (preferred) * Strong ...

Vectrus, Inc

Senior Software Engineer

Indianapolis, IN · On-site

$100 - $150/hr

Responsibilities The Senior Software Engineer will join our multi-discipline Agile/DevSecOps ... Experience developing in one or more C++, Java, and Python languages. Strong communication and ...

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Senior Backend Developer Python information

See Indianapolis, IN salary details

$15.3K

$141.7K

$182.6K

How much do senior backend developer python jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior backend developer python in Indianapolis, IN is $141,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,100.00 and $160,100.00 per year, depending on experience, location, and employer.

What does a senior backend developer Python do?

A Senior Backend Developer Python designs, builds, and maintains the server-side logic and databases for web applications, primarily using the Python programming language. They are responsible for ensuring high performance, responsiveness, and security of applications, integrating with front-end elements, and working closely with other developers and stakeholders. Additionally, they often mentor junior developers, review code, and contribute to architectural decisions to ensure scalable and robust backend systems.

What are the key skills and qualifications needed to thrive as a senior backend developer Python?

To thrive as a Senior Backend Developer Python, you need deep expertise in Python programming, software architecture, and experience with databases and API development, usually supported by a computer science degree and several years of professional coding experience. Familiarity with frameworks like Django or Flask, cloud platforms (e.g., AWS, Azure), and version control systems such as Git is typically expected, along with knowledge of containerization tools like Docker. Strong problem-solving skills, collaboration, and clear communication set top performers apart in this role. These skills ensure the development of robust, scalable backend systems that meet business needs and support seamless integration with other technologies.

What are some common challenges faced by senior backend developers working with Python, and how can they be addressed?

Senior Backend Developers working with Python often encounter challenges such as ensuring high performance and scalability of applications, especially when dealing with large volumes of data or high user traffic. Managing dependencies and maintaining clean, modular codebases can also be demanding in complex projects. These challenges are typically addressed by leveraging advanced Python frameworks, implementing robust testing practices, and collaborating closely with DevOps and frontend teams to optimize system architecture and deployment pipelines. Continuous learning and staying updated with best practices in Python and backend development are also key to overcoming these obstacles.

What is the difference between Senior Backend Developer Python vs Backend Developer Python?

AspectSenior Backend Developer PythonBackend Developer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
CertificationsRelevant certifications (e.g., AWS, Python)Optional, entry-level certifications
Work EnvironmentDesigning architecture, mentoringImplementing features, coding
ResponsibilitiesSystem design, team coordinationCode development, bug fixing

The main difference between a Senior Backend Developer Python and a Backend Developer Python lies in experience, responsibilities, and leadership. Senior developers typically lead projects and mentor others, while backend developers focus on coding and feature implementation. Both roles require strong Python skills and relevant certifications, but senior roles demand more experience and strategic involvement.

What are popular job titles related to Senior Backend Developer Python jobs in Indianapolis, IN?

For Senior Backend Developer Python jobs in Indianapolis, IN, the most frequently searched job titles are:

What job categories do people searching Senior Backend Developer Python jobs in Indianapolis, IN look for?

The top searched job categories for Senior Backend Developer Python jobs in Indianapolis, IN are:

Senior Backend Developer Python jobs near you
Infographic showing various Senior Backend Developer Python job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $141,691 per year, or $68.1 per hour.

Sr. Data Scientist

Eightelevengroup

Indianapolis, IN • On-site

$110.21 - $121.23/hr

Other

Re-posted 22 hours ago

Key responsibilities

  • Design and execute geospatial analyses to support product and business decision-making

  • Build, validate, and maintain spatial data models and pipelines

  • Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders

Job description

Geospatial Data Scientist

Remote

This is a Remote role.

Compensation: $80 - $88 per hour

ABOUT THE ROLE

Our client is seeking a Geospatial Data Scientist to transform complex spatial data into actionable insights and support product and business decision-making. In this role, you will work across the full geospatial data pipeline—from data ingestion and processing to analysis, modeling, and visualization—and collaborate closely with engineering and product teams to embed spatial intelligence into our platform. You will be responsible for developing and maintaining spatial data models, applying machine learning techniques to spatial problems, and creating compelling visualizations for diverse stakeholders. The ideal candidate thrives in a fully remote, asynchronous environment and brings a solid understanding of geospatial standards, coordinate reference systems, and data quality management.

WHAT YOU'LL DO
  • Design and execute geospatial analyses to support product and business decision-making
  • Build, validate, and maintain spatial data models and pipelines
  • Query and manage geospatial datasets using PostgreSQL with PostGIS
  • Work with geospatial data formats including GeoJSON, Shapefile, GeoTIFF, WKT, and WKB
  • Develop machine learning models with spatial components (clustering, classification, interpolation, etc.)
  • Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders
  • Collaborate with backend engineers to integrate geospatial features into production systems
  • Evaluate and maintain geospatial data quality, coverage, and accuracy
  • Apply GIS tools (QGIS, ArcGIS, or equivalent) for spatial analysis and visualization
  • Ensure clear communication of geospatial insights in a remote, async environment
  • Maintain familiarity with geospatial standards, coordinate reference systems, and spatial indexing
  • Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed
WHAT YOU BRING
  • 3–6 years of experience in data science, GIS, or a related field
  • Strong proficiency in Python for geospatial data analysis and modeling (GeoPandas, Shapely, Fiona, Rasterio, or similar)
  • Deep experience with PostgreSQL and PostGIS for spatial querying and data management
  • Familiarity with geospatial standards and formats (GeoJSON, Shapefile, GeoTIFF, WMS/WFS, WKT, WKB, etc.)
  • Experience with GIS tools such as QGIS, ArcGIS, or equivalent
  • Solid understanding of coordinate reference systems (CRS), projections, and spatial indexing
  • Experience applying machine learning techniques to spatial problems
  • Ability to communicate findings clearly in a fully remote, async environment
  • Experience with remote sensing or satellite imagery analysis (nice to have)
  • Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.) (nice to have)
  • Exposure to spatial data infrastructure (GeoServer, MapServer, Mapbox, Deck.gl) (nice to have)
  • Experience with big geospatial data processing (Apache Sedona, H3, S2) (nice to have)
  • Knowledge of Docker and containerized data workflows (nice to have)
  • Familiarity with CI/CD and version control best practices (nice to have)
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