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Remote Data Cleaning 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 ... Programming - Write clean, well-documented, and testable code using best practices. Leverage ...

Kobie Marketing

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... data clean rooms, marketplace, and Snowpark. * Strong proficiency in SQL, Python, and JavaScript ...

Verawholehealth

$63K - $111K/yr

This is a remote-friendly position suited for a mid-level professional with strong SQL skills and a ... Data Analysis & Modeling: Write and optimize complex SQL queries in BigQuery to extract, clean, and ...

MasTec Inc

Survey Manager

Fargo, ND · On-site +1

... data conflicts to Geomatics leadership. Location & Travel Details: This position is open to remote ... MasTec's Clean Energy & Infrastructure (CE&I) segment generates over $4.5 billion in annual revenue ...

MasTec Inc

Survey Manager

Fargo, ND · On-site +1

... data conflicts to Geomatics leadership. Location & Travel Details: This position is open to remote ... MasTec's Clean Energy & Infrastructure (CE&I) segment generates over $4.5 billion in annual revenue ...

MasTec Inc

Survey Manager

Fargo, ND · On-site +1

... data conflicts to Geomatics leadership. Location & Travel Details: This position is open to remote ... MasTec's Clean Energy & Infrastructure (CE&I) segment generates over $4.5 billion in annual revenue ...

MasTec Inc

Survey Manager

Fargo, ND · On-site +1

... data conflicts to Geomatics leadership. Location & Travel Details: This position is open to remote ... MasTec's Clean Energy & Infrastructure (CE&I) segment generates over $4.5 billion in annual revenue ...

MasTec Inc

Survey Manager

Fargo, ND · On-site +1

... data conflicts to Geomatics leadership. Location & Travel Details: This position is open to remote ... MasTec's Clean Energy & Infrastructure (CE&I) segment generates over $4.5 billion in annual revenue ...

MasTec Inc

Survey Manager

Fargo, ND · On-site +1

... data conflicts to Geomatics leadership. Location & Travel Details: This position is open to remote ... MasTec's Clean Energy & Infrastructure (CE&I) segment generates over $4.5 billion in annual revenue ...

MasTec Inc

Survey Manager

Fargo, ND · On-site +1

... data conflicts to Geomatics leadership. Location & Travel Details: This position is open to remote ... MasTec's Clean Energy & Infrastructure (CE&I) segment generates over $4.5 billion in annual revenue ...

ABB

Senior Project Engineer

Evansville, IN · Remote

$94K - $123K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

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Remote Data Cleaning information

What is the difference between Remote Data Cleaning vs Remote Data Entry?

AspectRemote Data CleaningRemote Data Entry
Primary FocusIdentifying and correcting errors in datasets, improving data qualityInputting and updating data into systems accurately
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData analysis platforms, spreadsheets, specialized cleaning toolsData management software, spreadsheets, databases
CertificationsData analysis, Excel, database managementBasic computer skills, typing certifications

Remote Data Cleaning involves reviewing and correcting datasets to ensure accuracy, often requiring analytical skills. Remote Data Entry focuses on accurately inputting data into systems. While both roles require attention to detail, data cleaning emphasizes quality control, whereas data entry emphasizes speed and accuracy in data input.

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

To thrive as a Remote Data Cleaning Specialist, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in a quantitative field. Proficiency with tools such as Microsoft Excel, SQL, Python (pandas), and data visualization platforms is commonly required. Excellent problem-solving abilities, time management, and clear communication help you collaborate effectively and maintain data integrity. These skills ensure that datasets are accurate, reliable, and ready for analysis, which is crucial for informed business decision-making.

What is remote data cleaning?

Remote data cleaning is the process of identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from datasets, all performed from a remote location rather than on-site. Professionals use specialized software and scripts to clean and organize data, ensuring its quality and consistency before analysis or use in business processes. This role is essential for organizations that rely on accurate data for decision-making and often involves tasks such as deduplication, error correction, and formatting standardization.

What are some common challenges faced when working remotely as a data cleaning specialist, and how can they be addressed?

Remote data cleaning specialists often encounter challenges such as inconsistent data formats, limited access to original data sources, and communication gaps with team members. To address these, it's important to establish clear data standards, use collaborative tools for real-time updates, and schedule regular check-ins with stakeholders. Staying organized and documenting data cleaning processes also helps maintain quality and ensures team alignment, even when working from different locations.
What are the most commonly searched types of Data Cleaning jobs in Indiana? The most popular types of Data Cleaning jobs in Indiana are:
What are popular job titles related to Remote Data Cleaning jobs in Indiana? For Remote Data Cleaning jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Data Cleaning jobs in Indiana look for? The top searched job categories for Remote Data Cleaning jobs in Indiana are:
What cities in Indiana are hiring for Remote Data Cleaning jobs? Cities in Indiana with the most Remote Data Cleaning job openings:
Remote Data Cleaning jobs near you
Infographic showing various Remote Data Cleaning job openings in Indiana as of July 2026, with employment types broken down into 2% Internship, 80% Full Time, 16% Part Time, and 2% Contract. Highlights an 100% Remote job distribution.
Data Architect

Data Architect

Cummins

Indianapolis, IN • On-site, Remote

$123K - $150K/yr

Full-time

Posted 25 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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Hours and flexibility

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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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