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Data Processing Manager Jobs in Indiana (NOW HIRING)

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

... processing to analysis, modeling, and visualization--and collaborate closely with engineering and ... Query and manage geospatial datasets using PostgreSQL with PostGIS * Work with geospatial data ...

Prosync

Administrative Manager II

Crane, IN · On-site

By managing administrative operations such as records, logistics coordination, data processing, procurement support, and workplace services, the Administrative Manager contributes directly to ...

Prosync

Administrative Manager I

Crane, IN

By managing administrative operations such as records, logistics coordination, data processing, procurement support, and workplace services, the Administrative Manager contributes directly to ...

Prosync

Administrative Manager II

Crane, IN

By managing administrative operations such as records, logistics coordination, data processing, procurement support, and workplace services, the Administrative Manager contributes directly to ...

Prosync

Administrative Manager I

Crane, IN · On-site

By managing administrative operations such as records, logistics coordination, data processing, procurement support, and workplace services, the Administrative Manager contributes directly to ...

Prosync

Administrative Manager I

Crane, IN · On-site

By managing administrative operations such as records, logistics coordination, data processing, procurement support, and workplace services, the Administrative Manager contributes directly to ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... data processing and analysis. You will be responsible for developing and implementing data ...

Allied Solutions LLC

Senior Data Engineer

Carmel, IN

$105K - $143K/yr

... Management and Data Strategy roadmaps. Job Duties and Responsibilities * Creates detailed ... Troubleshoots and corrects data and data processing errors in existing solutions * Works with other ...

New

Prosync

Administrative Manager II

Crane, IN · On-site

By managing administrative operations such as records, logistics coordination, data processing, procurement support, and workplace services, the Administrative Manager contributes directly to ...

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All JobsData Processing JobsData Processing Manager JobsData Processing Manager Jobs in Indiana

Data Processing Manager information

See Indiana salary details

$32.8K

$50K

$65.2K

How much do data processing manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data processing manager in Indiana is $49,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,400.00 and $59,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data processing manager?

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

What are the typical challenges faced by a data processing manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What does a data processing manager do?

A data processing manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. Strong leadership, technical skills, and understanding of data security are essential for this role.

What are the most commonly searched types of Data Processing jobs in Indiana?

The most popular types of Data Processing jobs in Indiana are:

What are popular job titles related to Data Processing Manager jobs in Indiana?

For Data Processing Manager jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Processing Manager jobs in Indiana look for?

The top searched job categories for Data Processing Manager jobs in Indiana are:

What cities in Indiana are hiring for Data Processing Manager jobs?

Cities in Indiana with the most Data Processing Manager job openings:

Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in Indiana as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $49,957 per year, or $24 per hour.

Sr. Data Scientist

Eightelevengroup

Indianapolis, IN • On-site

$110.21 - $121.23/hr

Other

Posted 14 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 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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