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Senior Backend Python Jobs in Indiana (NOW HIRING)

Sr. Data Scientist

Indianapolis, IN ยท 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 ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Showing results 41-56

Senior Backend Python information

What does a senior backend Python developer do?

A Senior Backend Python Developer designs, builds, and maintains the server-side logic of web applications using Python. They are responsible for creating robust APIs, optimizing databases, ensuring application security, and integrating third-party services. In addition, they often mentor junior developers, contribute to architectural decisions, and collaborate closely with frontend and DevOps teams. Their work ensures that applications are scalable, reliable, and efficient. Senior developers typically have several years of experience and deep knowledge of Python frameworks like Django or Flask.

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

To thrive as a Senior Backend Python Developer, you need expertise in Python programming, strong knowledge of backend frameworks (such as Django or Flask), and experience with database management, often backed by a degree in computer science or equivalent experience. Familiarity with version control systems like Git, containerization tools like Docker, cloud platforms (e.g., AWS), and possibly certifications in cloud or Python technologies are common requirements. Outstanding problem-solving skills, effective communication, and the ability to mentor junior developers help set top performers apart. These competencies ensure the development of robust, scalable, and maintainable backend systems that support business objectives.

What are some common challenges senior backend Python developers face when working on large-scale systems?

Senior Backend Python developers working on large-scale systems often encounter challenges such as ensuring application scalability, maintaining code quality across distributed teams, and optimizing performance for high traffic. Balancing the integration of new features with legacy system constraints can also be demanding. Effective communication and collaboration with frontend teams, DevOps, and product managers are crucial for delivering reliable and maintainable backend solutions.

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

AspectSenior Backend PythonBackend Developer
Required CredentialsBachelor's in CS or related, 5+ years experience, Python expertiseBachelor's in CS or related, 2-4 years experience, Python knowledge
Work EnvironmentTech companies, startups, enterprise systemsTech firms, startups, software agencies
Employer & Industry UsageUsed across industries requiring scalable backend solutionsCommon in web development and software services
Search & Comparison IntentUnderstanding senior roles, responsibilities, salaryEntry to mid-level backend roles, skill requirements

Senior Backend Python professionals typically have more experience, advanced skills, and leadership responsibilities compared to Backend Developers. They often work on complex systems, mentor junior staff, and have a broader understanding of architecture. Backend Developers focus on building and maintaining backend services with less emphasis on leadership or strategic planning.

What cities in Indiana are hiring for Senior Backend Python jobs?

Cities in Indiana with the most Senior Backend Python job openings:

Infographic showing various Senior Backend Python job openings in Indiana as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

Sr. Data Scientist

Eightelevengroup

Indianapolis, IN โ€ข On-site

$110.21 - $121.23/hr

Other

Posted 15 days ago


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 pipelineโ€”from data ingestion and processing to analysis, modeling, and visualizationโ€”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
  • 3โ€“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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