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Remote Data Extraction 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 ... Data Extraction - Build scalable, automated ETL pipelines that deliver accurate, timely data.

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

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

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

Belden Inc

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

Configure data migration tools including Syniti ADMM and BODS for data extraction, transformation ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... Informatica ETL, Power BI/Tableau development, and CMS processes (10%). * Recommend and drive ... with company's remote work policy. * Domestic travel required less than 2% of the time.

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... Informatica ETL, Power BI/Tableau development, and CMS processes (10%). * Recommend and drive ... with company's remote work policy. * Domestic travel required less than 2% of the time.

Recruitment Room

$60 - $90/hr

Data Analysis / Analytics Expert Hourly Contract Remote Compensation: $60$90 per hour Overview We ... Apply statistical tools and models to extract meaningful insights. * Develop visualizations that ...

Circle Logistics

AI Automation Engineer

Fort Wayne, IN · On-site +1

Proficiency with SQL and database querying for data extraction and manipulation * Ability to work ... Competitive salary + performance bonus * [Health / Dental / Vision] benefits * [Remote/Hybrid / On ...

Circle Logistics

AI Automation Engineer

Fort Wayne, IN · On-site +1

Proficiency with SQL and database querying for data extraction and manipulation * Ability to work ... Competitive salary + performance bonus * [Health / Dental / Vision] benefits * [Remote/Hybrid / On ...

CSAA

... extract actionable insights, shape data foundations, and foster a datadriven culture. Your Work ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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 ... Serve as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines ...

Circle

Staff Software Engineer, Data Platform

Austin, IN · On-site +1

... processing, ETL/ELT pipelines orchestration platform, data cataloging, data governance. These ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

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Remote Data Extraction information

What are some common challenges faced in a remote data extraction role and how can they be addressed?

One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.

What jobs pay 4000 a week without a degree?

Remote data extraction roles can pay around $4,000 per week for experienced professionals, especially those skilled in data scraping, automation tools, and programming languages like Python or SQL. These positions often require strong technical skills, self-motivation, and the ability to work independently, with some roles offering high pay based on project complexity and volume.

How to make $1000 a week remotely?

Remote data extraction jobs can pay between $10 and $25 per hour, so earning $1000 weekly typically requires working 40 to 50 hours. Developing strong data handling skills, familiarity with tools like Excel or data scraping software, and maintaining consistent productivity can help achieve this income level. Building a reliable client base or working through reputable platforms can also increase earning potential.

What is remote data extraction?

Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.

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

To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.

How to become a data extractor?

To become a remote data extractor, you should develop skills in data collection, cleaning, and analysis, often using tools like Excel, SQL, or web scraping software. Relevant experience, attention to detail, and the ability to work independently are important, and some roles may require basic knowledge of programming languages such as Python or JavaScript.

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

AspectRemote Data ExtractionRemote Data Entry
Primary FocusExtracting data from various sources like websites, PDFs, or imagesInputting data into databases or spreadsheets
Skills RequiredWeb scraping, data analysis, attention to detailTyping speed, accuracy, basic computer skills
Tools UsedWeb scraping software, OCR tools, data management platformsExcel, Google Sheets, data entry software
Work EnvironmentMostly independent, often project-basedConsistent, repetitive tasks

Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.

Is 40 too late for data science?

Age is not a strict barrier for a remote data extraction or data science role; many professionals transition into the field later in life. Success depends on skills, experience, and continuous learning of tools like Python, SQL, and machine learning concepts, regardless of age.
What are the most commonly searched types of Data Extraction jobs in Indiana? The most popular types of Data Extraction jobs in Indiana are:
What are popular job titles related to Remote Data Extraction jobs in Indiana? For Remote Data Extraction jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Data Extraction jobs in Indiana look for? The top searched job categories for Remote Data Extraction jobs in Indiana are:
Remote Data Extraction jobs near you
Infographic showing various Remote Data Extraction job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Architect

Data Architect

Cummins

Indianapolis, IN • On-site, Remote

$123K - $150K/yr

Full-time

Posted 15 days ago

Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 253 frontline employees who took The Breakroom Quiz

109th 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.

What Cummins employees say

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Benefits

Hours and flexibility

Workplace

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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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