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Remote Data Extraction Jobs in Indiana (NOW HIRING)

The Sr. Data Warehouse /Business Analyst will serve as a leader for Business Intelligence and work ... Must be able to work with the remote based BI team, and offshore development team, staying closely ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

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Remote Data Extraction information

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.

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 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 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.

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 cities in Indiana are hiring for Remote Data Extraction jobs? Cities in Indiana with the most Remote Data Extraction job openings:
Staff Software Engineer, Data Platform

Staff Software Engineer, Data Platform

Circle

Atlanta, IN • On-site, Remote

Full-time

Posted 25 days ago


Job description

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.

What you'll be part of:

Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.

Here is our team hierarchy for individual contributors:

Senior Software Engineer (III)

Staff Software Engineer (IV)

Your team is responsible for:

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ingestion and processing, ETL/ELT pipelines orchestration platform, data cataloging, data governance. These components power our Product, Engineering, Analytics, and Data Science teams by enabling experimentation, operational excellence, and actionable insights to accelerate business growth.

You'll work on:

  • Design, build, and operate data platform services (warehousing, orchestration, and catalogs). Continuously enhance platform operations by improving monitoring, performance, reliability, and resource optimization.

  • Design, build and maintain batch and streaming data ingestion framework to source the required data for analytical and operational needs, which include onchain data, internal system data, and partner data.

  • Be a domain expert in streaming processing, data pipelines, data warehousing and quality. Work closely across multiple stakeholders-including Product, Engineering, Data Science, Security and Compliance teams-on data contract modeling, data lifecycle management, governance and regulatory/legal compliance.

  • Provide ML data platform capabilities for AI/Data Science teams to perform data preparation, model preparation and serving, and performance monitoring.

  • Develop and maintain core services and libraries to enhance critical platform functionalities, such as cataloging data assets and lineage, tracking data versioning and quality, managing auto-backfilling, implementing access controls on data assets.

You'll bring to Circle:

Senior Software Engineer (III):

  • 4+ years of software engineering experience building data-intensive systems

  • Hands-on experience designing and operating scalable batch, micro-batch, or streaming data pipelines

  • Experience in business domains such as payment systems, credit cards, bank transfers, or blockchains.

  • Familiarity with data governance, lineage, and provenance concepts

  • Strong understanding of open-source data technologies and cloud-native data platforms

  • Ability to tackle complex and ambiguous problems.

  • Self-starter who takes ownership and enjoys moving at a fast pace.

  • Excellent communication skills, with the ability to collaborate across multiple remote teams, share ideas and present concepts effectively.

Nice to have:

  • Experience with with streaming frameworks such as Apache Flink or Google Cloud Dataflow

  • Experience with NoSQL databases such as Bigtable, Cassandra

Staff Software Engineer (IV):

Includes all the requirements of a Senior Software Engineer, and:

  • 7+ years in software engineering experience for large-scale and complex data systems

  • Proven technical leadership in architecture and system design, influencing designs across multiple teams

  • Deep expertise in one or more of: streaming systems, data warehousing, data modeling, or large-scale ingestion platforms

  • Ability to identify high-impact technical opportunities independently and drive them from concept to production

  • Strong experience in:

    • Data platforms integrated with downstream consumers, tools, and services

    • Data quality, validation, and observability mechanisms across pipelines

  • Comfortable making and defending long-term architectural tradeoffs in ambiguous environments

Nice to have:

  • Hands-on Experience taking an operational, data-intensive application from initial design to production (01), or scaling and operating it at production scale.

  • Experience developing real-time analytics or near-real-time decisioning systems

Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.

Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

Base Pay Range: $195,000-$257,500

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.

Should you require accommodations or assistance in our interview process because of a disability, please reach out toaccommodations@circle.comfor support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.

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