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Remote Automation Control Jobs in Indiana (NOW HIRING)

Cummins

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Leverage version control and automation to ensure reliability and efficiency * Solution Validation ...

Deloitte

Consultant - ServiceNow

Indianapolis, IN · Remote

This compensation range is specific to a Remote role and takes into account the wide range of ... Experience supporting implementation and configuration of ServiceNow AI Control Tower capabilities ...

ABB

Strategic Segment Proposal Engineer

Evansville, IN · Remote

This is a remote position. Candidates can be located anywhere in the US. This role is contributing ... The Division offers integrated digital technologies to control HVAC, lighting, shutters, and ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... control, and observability * Partner with domain architects and engineering teams to ensure shared ...

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Remote Automation Control information

What is the difference between Remote Automation Control vs Remote Automation Technician?

AspectRemote Automation ControlRemote Automation Technician
CredentialsTypically requires certifications in automation systems, PLC programming, or control systemsOften requires technical certifications or associate degrees in automation, electronics, or related fields
Work EnvironmentPrimarily remote, overseeing automation systems remotely, with some on-site visitsMostly on-site or field-based, with some remote troubleshooting
Industry UsageUsed across manufacturing, energy, and industrial sectors for system oversightCommonly found in industrial plants, factories, and maintenance settings

Remote Automation Control professionals focus on remotely managing and overseeing automation systems, often requiring specialized certifications and working in a mostly remote environment. In contrast, Remote Automation Technicians typically perform hands-on maintenance and troubleshooting, often on-site, with some remote support. Both roles are essential in industrial automation but differ mainly in their work setting and certification requirements.

What are Remote Automation Control jobs?

Remote Automation Control jobs involve monitoring, managing, and optimizing automated systems or processes from a remote location. Professionals in these roles use specialized software and networked devices to control machinery, production lines, or building systems without being physically present on-site. These jobs are common in industries such as manufacturing, energy, and smart building management. Key responsibilities often include troubleshooting, system configuration, and ensuring smooth operation of automation technologies.

What are the key skills and qualifications needed to thrive as a Remote Automation Control specialist, and why are they important?

To thrive as a Remote Automation Control specialist, you need expertise in control systems engineering, process automation, and a relevant degree in engineering or a related technical field. Familiarity with SCADA systems, PLC programming, industrial protocols, and certifications such as ISA or Siemens are typically required. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These competencies are crucial for ensuring safe, efficient, and reliable operation of automated systems from a distance.

What are some common challenges faced when working as a Remote Automation Control professional, and how can they be addressed?

One common challenge in Remote Automation Control is troubleshooting issues without being physically present at the site, which requires strong diagnostic skills and clear communication with on-site personnel. Additionally, maintaining reliable and secure remote connections is essential due to the sensitive nature of control systems. Adapting to rapidly evolving technologies and staying current with industry standards are also important for long-term success. Building strong collaboration with cross-functional teams, such as IT and maintenance staff, can help address these challenges and ensure smooth operations.
What are the most commonly searched types of Automation Control jobs in Indiana? The most popular types of Automation Control jobs in Indiana are:
What are popular job titles related to Remote Automation Control jobs in Indiana? For Remote Automation Control jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Automation Control jobs in Indiana look for? The top searched job categories for Remote Automation Control jobs in Indiana are:
What cities in Indiana are hiring for Remote Automation Control jobs? Cities in Indiana with the most Remote Automation Control job openings:
Remote Automation Control jobs near you
Data Architect

Data Architect

Cummins

Indianapolis, IN • On-site, Remote

$123K - $150K/yr

Full-time

Posted 22 days ago

Cummins rating

8.0

Company rating: 8.0 out of 10

Based on 259 frontline employees who took The Breakroom Quiz

131st of 528 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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