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Remote Data Extraction Jobs in Utah (NOW HIRING)

RC Willey Home Furnishings

Data Engineer

Salt Lake City, UT · On-site +1

$90K - $120K/yr

Remote work and relocation support are not offered** Key Responsibilities * Utilize SQL to query and extract data * Develop Power BI dashboards for various business units * Create PowerApps as needed ...

Inside Real Estate

Senior Data Analyst

Murray, UT · On-site +1

$80K - $101K/yr

Experience with modern data stacks including cloud-based databases (Redshift), ETL/Pipeline ... Potential to work in a remote setting; * Exciting/energetic work environment and fun, creative ...

Wsgr

Principal Solutions Engineer

Salt Lake City, UT · On-site +1

This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ... Partner with the data operations team to extract, transform, and load (ETL) data from marketing ...

Cicero Group

Senior AI Developer

Salt Lake City, UT · On-site +1

$52.75 - $69.75/hr

Background in data architecture, ETL/ELT pipelines, or analytics platforms * Experience with ... Remote employees will be expected to travel to an office periodically.

MGT

AI Solutions Architect

Salt Lake City, UT · On-site +1

$61 - $80.25/hr

Preferred background in data architecture, ETL/ELT pipelines, or analytics platforms. * Preferred ... Remote employees are expected to travel periodically to an MGT office or client location based on ...

New

Canopy

QA Automation Tech Lead

South Jordan, UT · Remote

This position is remote eligible for candidates who currently reside in Utah. What You'll Do ... Data Pipelines: Familiarity with validating data warehouses (Snowflake/BigQuery) or ETL pipelines.

Canopy

QA Automation Tech Lead

South Jordan, UT · Remote

This position is remote eligible for candidates who currently reside in Utah. What You'll Do ... Data Pipelines: Familiarity with validating data warehouses (Snowflake/BigQuery) or ETL pipelines.

All JobsData Extraction JobsRemote Data Extraction JobsRemote Data Extraction Jobs in Utah

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.
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Remote Data Extraction jobs near you
Senior Layout Extraction Engineer

Senior Layout Extraction Engineer

PDF Solutions

Midvale, UT • On-site, Remote

$120K - $160K/yr

Full-time

Posted 8 days ago

Job description

Overview

PDF is seeking an experienced Layout (FIRE) Extraction Engineer to join the DFI team, who is responsible for Apps Support. The Layout (FIRE) Extraction Engineer is an organized and highly motivated team player with strong initiative and communication skills and possesses the drive to deliver quality results on time in a dynamic, multi-disciplined, intensive and highly productive small team environment.


Responsibilities

1. Running Layout (FIRE) Extraction on client site to support onsite inspection application development.

2. Remote support Layout (FIRE) Extraction for the R&D and Demo Application development.


Qualifications

Bachelor’s Degree or higher in electrical engineering. Degrees, such as statistics or IT-related discipline may work, depending on work experience.

Skill Set

o Core Technology & Knowledge

· Theoretical and practical experience in OPC/RET (Resolution Enhancement Technology)

· Comprehensive understanding of CMOS process flow

· Knowledge of mask fabrication and design rules (DRC)

o Software/Tool Proficiency

· Experience with OPC/Mask simulation tools:

· Mentor Graphics Calibre OPC/ILT

· Synopsys Sentaurus/Litho

· ASML Brion Tachyon

· Layout processing tools:

· Cadence, Synopsys, or KLayout

· Scripting & Programming:

· Hands-on experience with Linux

· Python, Perl, Tcl, Shell scripting

· Experience in large-scale data processing and automation

o Algorithm & Data Processing Skills

· Understanding of pattern matching, shape transformation, and data optimization

· Experience in OPC optimization using Machine Learning / AI (preferred)

o Analytical & Problem-Solving Skills

· Analysis and improvement of discrepancies between layout and actual pattern

· Experience analyzing SEM/E-beam inspection data

· Experience optimizing process window (PW) and depth of focus (DOF)

o Collaboration & Work Skills

· Experience collaborating with Design, Lithography, and Fab Process teams

· Experience modifying and optimizing designs based on customer/internal feedback

· Ability to read and understand English technical papers/datasheets and write reports


Pay Range
USD $120,000.00 - USD $160,000.00 /Yr.Qualifications:

Bachelor’s Degree or higher in electrical engineering. Degrees, such as statistics or IT-related discipline may work, depending on work experience.

Skill Set

o Core Technology & Knowledge

· Theoretical and practical experience in OPC/RET (Resolution Enhancement Technology)

· Comprehensive understanding of CMOS process flow

· Knowledge of mask fabrication and design rules (DRC)

o Software/Tool Proficiency

· Experience with OPC/Mask simulation tools:

· Mentor Graphics Calibre OPC/ILT

· Synopsys Sentaurus/Litho

· ASML Brion Tachyon

· Layout processing tools:

· Cadence, Synopsys, or KLayout

· Scripting & Programming:

· Hands-on experience with Linux

· Python, Perl, Tcl, Shell scripting

· Experience in large-scale data processing and automation

o Algorithm & Data Processing Skills

· Understanding of pattern matching, shape transformation, and data optimization

· Experience in OPC optimization using Machine Learning / AI (preferred)

o Analytical & Problem-Solving Skills

· Analysis and improvement of discrepancies between layout and actual pattern

· Experience analyzing SEM/E-beam inspection data

· Experience optimizing process window (PW) and depth of focus (DOF)

o Collaboration & Work Skills

· Experience collaborating with Design, Lithography, and Fab Process teams

· Experience modifying and optimizing designs based on customer/internal feedback

· Ability to read and understand English technical papers/datasheets and write reports

Education:UNAVAILABLEEmployment Type: FULL_TIME

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