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Data Processing Manager Jobs in Whitestown, IN (NOW HIRING)

Cummins

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

... in processing and managing large data sets - Design and development for a Big Data platform using open source and third-party tools - SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or ...

USIC

Geospatial Data Specialist

Zionsville, IN · On-site

$25/hr

Support managers and CAD/GIS staff with organized and verified datasets ready for drafting or analysis. Requirements * 2-5 years of experience in geospatial data processing, remote sensing, or GIS/CA ...

Blood Hound

Geospatial Data Specialist

Zionsville, IN · On-site

$25/hr

Support managers and CAD/GIS staff with organized and verified datasets ready for drafting or analysis. Requirements * 2-5 years of experience in geospatial data processing, remote sensing, or GIS/CA ...

Linde

IT Manager - Data & Analytics

Indianapolis, IN · On-site

You will optimize data processes for performance and scalability while proactively driving efficiency and innovation * Moreover, you will champion data quality and governance standards to ensure ...

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 ...

Dovel Technologies, Inc

Data Architect

Indianapolis, IN · On-site

$100 - $150/hr

Experience with SQL and distributed data processing frameworks* Experience integrating multiple data sources and managing complex data pipelines**What Would Be Great to Have*** Strong understanding ...

Guidehouse

Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Experience with SQL and distributed data processing frameworks * Experience integrating multiple data sources and managing complex data pipelines What Would Be Great to Have * Strong understanding of ...

RR

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Implement and maintain ETL/ELT workflows, data validation, and quality monitoring processes ... Ensure appropriate handling of sensitive data through de-identification, access management, and ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN

$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 ...

Brooksource

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/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 ...

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Showing results 21-40

All JobsData Processing JobsData Processing Manager JobsData Processing Manager Jobs in Whitestown, IN

Data Processing Manager information

See Whitestown, IN salary details

$35.3K

$53.8K

$70.1K

How much do data processing manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data processing manager in Whitestown, IN is $53,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $64,000.00 per year, depending on experience, location, and employer.

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 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 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, problem-solving skills, and knowledge of data security are essential for this role.
What cities near Whitestown, IN are hiring for Data Processing Manager jobs? Cities near Whitestown, IN with the most Data Processing Manager job openings:
Data Processing Manager jobs near you

Data Architect

Cummins

Indianapolis, IN • On-site, Remote

$123K - $150K/yr

Full-time

Re-posted 17 days ago

Cummins rating

7.9

Company rating: 7.9 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

160th of 538 rated manufacturers

Job description


We are looking for a talented Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote.
In this role, you will make an impact in the following ways:
  • Design and automate scalable data ingestion and transformation pipelines across relational, event-based, and unstructured sources.
  • Build and maintain frameworks to monitor, detect, and resolve data quality and integrity issues. Implement data governance practices, including metadata management, data access, and retention policies.
  • Architect and guide development of reliable, efficient, and scalable ETL/ELT data pipelines with monitoring and alerting.
  • Design physical data models and optimize database structures, indexing, and relationships for performance.
  • Test, optimize, and troubleshoot data pipelines to ensure stability and performance.
  • Develop and manage large-scale data storage solutions using distributed and cloud platforms (e.g., data lakes, Hadoop, NoSQL databases).
  • Drive automation and modernization of data infrastructure and integration processes to support agile analytics initiatives.

Responsibilities
To be successful in this role you will need the following:
  • Data Extraction - Build scalable, automated ETL pipelines that deliver accurate, timely data. Choose the right tools and optimize transformations for performance and usability.
  • Programming - Write clean, well-documented, and testable code using best practices. Leverage version control and automation to ensure reliability and efficiency
  • Solution Validation Testing - Follow SDLC standards to thoroughly test and validate all solutions. Ensure outputs meet business requirements and perform correctly in production.
  • Data Quality - Proactively monitor and resolve data issues. Establish strong governance practices to maintain data accuracy and trust across the organization.

Qualifications
Education/Experience:
  • College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required.
  • This position may require licensing for compliance with export controls or sanctions regulations.
  • Intermediate experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes:
    - Familiarity analyzing complex business systems, industry requirements, and/or data regulations
    - Background in processing and managing large data sets
    - Design and development for a Big Data platform using open source and third-party tools
    - SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework
    - SQL query language
    - Clustered compute cloud-based implementation experience
    - Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources
    - Experience in building analytical solutions
    Intermediate experiences in the following are preferred:
    - Experience with IoT technology
    - Experience in Agile software development
  • 6-8 years of experience required.

Additional Responsibilities:
Preferred Job Specific Skills - Data Architect
  • Dimensional Modeling Mastery - Deep expertise in designing enterprise-scale dimensional models (star, snowflake, constellation) with strong command of fact table grain definition, surrogate key strategies, slowly changing dimensions (Types 1-6), bridge tables, and late-arriving data handling.
  • Advanced SQL Engineering - Highly proficient in writing complex, high-performance SQL, including window functions, CTE-driven transformations, query plan analysis, cost-based optimization, partitioning strategies, and performance tuning across large, distributed datasets.
  • Snowflake Architecture & Engineering - Hands-on experience with Snowflake internals including micro-partitioning, clustering keys, result-set caching layers, warehouse sizing/auto-suspend tuning, Snowpipe/Streams/Tasks orchestration, Time Travel, Zero-Copy Cloning, and secure data sharing patterns.
  • Graph Database & Cypher Proficiency - Strong experience with Neo4j or equivalent graph platforms, including graph schema design, Cypher query optimization, graph algorithms (PageRank, community detection, pathfinding), and integration of graph workloads with analytical and relational systems.
  • Microsoft Fabric Ecosystem - Practical experience with Fabric Lakehouse architecture, Delta Lake optimization, Data Engineering pipelines, Data Factory orchestration, KQL-based Real-Time Analytics, semantic model creation, and integration with Power BI and OneLake governance.
  • SAP S/4HANA Data Structures -Familiarity of SAP S/4HANA data models (FI/CO, MM, SD, PP), CDS views, OData services, SLT/SDI/ODP-based extraction patterns, and harmonization of SAP transactional data into cloud-based analytical platforms.
  • Cloud Data Architecture - Strong understanding of distributed data processing, ELT/ETL orchestration, event-driven ingestion (Kafka/Event Hub), metadata-driven frameworks, schema evolution, and data lifecycle management across cloud environments (Azure preferred).
  • Data Governance & Metadata Management - Experience implementing enterprise data catalogs, lineage tracking, data quality rules, master data integration, and security models (RBAC/ABAC, row-level and column-level security).
  • Performance Engineering & Optimization - Ability to diagnose bottlenecks across compute, storage, and network layers; optimize workloads for cost and performance; and design scalable, fault-tolerant data architectures.
  • Cross-Platform Integration - Experience integrating heterogeneous systems (SAP, Snowflake, Fabric, graph DBs, APIs, streaming platforms) into unified analytical ecosystems with strong focus on interoperability and data consistency.

Compensation:
Please note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidate's qualifications and experience, where appropriate.
Premium Range:
Minimum: $123,030
Maximum: $150,370
About Us
Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919

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