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Remote Hive Jobs in Indiana (NOW HIRING)

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework - SQL query language ...

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 ... Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework - SQL query language ...

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework - SQL query language ...

Cummins

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework - SQL query language ...

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Remote Hive information

How to make $1000 a week remotely?

Remote Hive offers opportunities to earn $1000 or more weekly by engaging in high-demand freelance roles such as digital marketing, content creation, or virtual assistance. Success depends on building skills, gaining experience, and maintaining a consistent client base, often requiring strong communication and time management skills.

What are the key skills and qualifications needed to thrive as a Remote Hive Data Engineer, and why are they important?

To thrive as a Remote Hive Data Engineer, you need a strong background in data engineering, SQL, and distributed computing, often supported by a degree in computer science or a related field. Proficiency with Apache Hive, Hadoop, cloud platforms like AWS or Azure, and data pipeline tools is typically required, along with relevant certifications. Excellent problem-solving, communication, and time-management skills are essential for collaborating remotely and ensuring data integrity. These abilities are crucial for managing large-scale data sets efficiently and enabling data-driven decision making in distributed work environments.

How can I make 100,000 a year working from home?

Remote Hive roles that pay $100,000 annually typically require specialized skills such as software development, digital marketing, or project management, along with experience and sometimes certifications. Earning this income often involves building a strong professional reputation, working full-time or managing multiple clients, and leveraging remote work tools to increase productivity and income potential.

How does working as a Remote Hive Engineer typically differ from on-site roles in terms of team collaboration and communication?

As a Remote Hive Engineer, much of your collaboration with data engineers, analysts, and other stakeholders happens virtually through tools like Slack, Zoom, and project management platforms. Clear and proactive communication is essential since you'll be coordinating across different time zones and may have less face-to-face interaction. Regular stand-ups, documentation, and asynchronous updates help ensure alignment within the team. You'll need to be self-motivated and comfortable working independently, but also ready to engage in collaborative problem-solving sessions when complex Hive queries or data issues arise.

What are Remote Hive jobs?

Remote Hive jobs refer to positions offered by or listed on Remote Hive, a platform dedicated to connecting professionals with remote job opportunities. These jobs span various industries and roles, allowing individuals to work from anywhere with internet access. Remote Hive typically features positions in tech, marketing, customer support, and more, helping companies find remote talent globally. This flexibility supports work-life balance and access to a broader talent pool.

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Remote Hive offers opportunities for remote work that can potentially generate $2000 weekly, often through high-demand roles such as freelance consulting, digital marketing, or specialized customer support. Achieving this income level typically requires developing relevant skills, building a strong client base, and maintaining a consistent schedule, often involving multiple projects or clients simultaneously.

What job makes $10,000 a month without a degree?

High-paying remote jobs such as software developers, digital marketers, or sales managers can earn $10,000 or more per month without a degree, often requiring strong skills, experience, and certifications. Success in these roles depends on expertise, portfolio, and performance rather than formal education.

What is the difference between Remote Hive vs Remote Customer Support Specialist?

AspectRemote HiveRemote Customer Support Specialist
Required CredentialsVaries by role, often includes customer service or technical certificationsTypically requires customer service experience and communication skills
Work EnvironmentRemote, flexible hours, team collaboration toolsRemote, focused on assisting customers via chat, email, or phone
Employer & Industry UsageUsed across tech, e-commerce, and service industriesCommon in retail, tech, and service sectors
Search & Comparison IntentLooking for remote customer service roles with flexible optionsSeeking remote customer support jobs with specific skills

Remote Hive offers a broad platform for various remote roles, including customer support, with flexible credentials and industry usage. Remote Customer Support Specialist positions focus specifically on customer service tasks, requiring relevant communication skills. Both roles are remote and industry-spanning, but Remote Hive provides a wider range of opportunities beyond customer support.

What are popular job titles related to Remote Hive jobs in Indiana? For Remote Hive jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Hive jobs in Indiana look for? The top searched job categories for Remote Hive jobs in Indiana are:
Remote Hive jobs near you
Data Architect

Data Architect

Cummins Inc.

Indianapolis, IN • Remote

$61 - $78.50/hr

Full-time

Posted 6 days ago

Key responsibilities

  • Design and automate scalable data ingestion and transformation pipelines across various data sources.

  • Build and maintain frameworks to monitor, detect, and resolve data quality and integrity issues, and implement data governance practices.

  • Architect and guide development of reliable, efficient, and scalable ETL/ELT data pipelines with monitoring and alerting.

Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 252 frontline employees who took The Breakroom Quiz

110th of 527 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.
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.

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 enterprisescale 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 latearriving data handling.
  • Advanced SQL Engineering - Highly proficient in writing complex, highperformance SQL, including window functions, CTEdriven transformations, query plan analysis, costbased optimization, partitioning strategies, and performance tuning across large, distributed datasets.
  • Snowflake Architecture & Engineering - Handson experience with Snowflake internals including micropartitioning, clustering keys, resultset caching layers, warehouse sizing/autosuspend tuning, Snowpipe/Streams/Tasks orchestration, Time Travel, ZeroCopy 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, KQLbased RealTime 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/ODPbased extraction patterns, and harmonization of SAP transactional data into cloudbased analytical platforms.
  • Cloud Data Architecture - Strong understanding of distributed data processing, ELT/ETL orchestration, eventdriven ingestion (Kafka/Event Hub), metadatadriven 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, rowlevel and columnlevel security).
  • Performance Engineering & Optimization - Ability to diagnose bottlenecks across compute, storage, and network layers; optimize workloads for cost and performance; and design scalable, faulttolerant data architectures.
  • CrossPlatform 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

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.

What Cummins employees say

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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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