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Remote Data Extraction Jobs in Boston, MA (NOW HIRING)

SMART TECH SKILLS LLC

Data Scientist

Boston, MA · Remote

Competitive salary Location Remote Experience Level Senior Level (7 or more years of experience ... Data Integration & Stakeholder Collaboration • Perform complex SQL-based data extraction ...

Kemper

Data Scientist

Boston, MA · On-site +1

Proficiency writing and interpreting SQL queries for data extraction and analysis * Solid ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

BitSight

Principal Data Scientist

Boston, MA · On-site +1

... and remote We are hiring a visionary Principal Data Scientist in a critical senior technical ... Develop and maintain end-to-end ML pipelines, including data extraction, feature engineering ...

Tiger Analytics Inc.

Data Architect

Boston, MA · Remote

$69.25 - $89/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Assess ETL/ELT pipelines, BI/reporting assets, databases, enterprise applications, and cloud ...

Cecelia Health

Data Architect - Contract

Boston, MA · Remote

$65.25 - $84/hr

This remote position offers the opportunity to play a strategic role in advancing Cecelia Health ... Design and oversee ETL/ELT processes to ingest, transform, validate, and distribute data across ...

Tiger Analytics Inc.

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.

IQVIA

Senior Data Quality Analyst

Burlington, MA · On-site +1

Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ... Perform data profiling, reconciliation, ETL validation, anomaly detection, and root cause analysis.

IQVIA

Senior Data Quality Analyst

Burlington, MA · On-site +1

Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ... Perform data profiling, reconciliation, ETL validation, anomaly detection, and root cause analysis.

Farsyt

Insurance Producer - Commercial Lines

Cambridge, MA · Remote

$60K - $100K/yr

We use AI to extract data from prior dec pages and auto-populate ACORD forms, instantly identifying ... Location Remote or Hybrid. We are built for the modern workforce. Our cloud-based stack allows you ...

The Phia Group

Data Engineer (Remote)

Canton, MA · On-site +1

$121K - $145K/yr

... ETL, data modeling, data architecture, and developing pipelines and applications for analytics (e.g., BI, reporting, machine learning, deep learning) * Solid programming skills in advanced SQL ...

Lorven Technologies

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Data Engineer + AI Work location : Boston, MA Duration: 12 Months Job Summary: We're looking for a ... You'll design robust ETL/ELT, enable feature engineering for ML/LLM use cases , and drive best ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Extensive experience with data warehousing, ETL processes, and data modeling. * Experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Extensive experience with data warehousing, ETL processes, and data modeling. * Experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

Extensive experience with data warehousing, ETL processes, and data modeling. * Experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Beacon Biosignals

Sr. Program Manager

Boston, MA · On-site +1

$135K - $155K/yr

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ... Ensure compliance with operating procedures and standards for data extraction processes ...

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All JobsData Extraction JobsRemote Data Extraction JobsRemote Data Extraction Jobs in Boston, MA

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 Boston, MA? The most popular types of Data Extraction jobs in Boston, MA are:
What are popular job titles related to Remote Data Extraction jobs in Boston, MA? For Remote Data Extraction jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Data Extraction jobs in Boston, MA look for? The top searched job categories for Remote Data Extraction jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Data Extraction jobs? Cities near Boston, MA with the most Remote Data Extraction job openings:
Remote Data Extraction jobs near you

Data Scientist

SMART TECH SKILLS LLC

Boston, MA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Benefits:
  • Competitive salary


Location
 Remote
Experience Level
Senior Level (7 or more years of experience)
Role Overview
We are seeking a highly skilled Senior Data Scientist to join a fast-paced SaaS organization on a contract basis. This role is ideal for a hands-on data science professional with deep expertise in machine learning, Snowflake Cortex ML, Python, advanced SQL, and MLOps automation. The successful candidate will partner closely with business stakeholders to develop, optimize, and deploy production-grade machine learning solutions that drive business value. This is a 3 to 6-month contract with potential for permanent conversion, targeting a start date of August 1.
Key Responsibilities

Machine Learning & Data Science
• Design, develop, and enhance production-grade machine learning and predictive analytics models to solve complex SaaS business problems.
• Maintain, optimize, and evaluate existing ML models to ensure continuous improvements in accuracy, performance, and scalability.
• Apply statistical modeling and advanced machine learning techniques to extract actionable business insights from enterprise data.
Snowflake Cortex ML Development
• Develop, deploy, and scale machine learning solutions natively using Snowflake Cortex ML and its broader AI capabilities.
• Optimize model execution, feature engineering, and data processing architectures directly within the Snowflake ecosystem.
• Collaborate with data engineering and platform teams to seamlessly integrate Cortex ML and Snowpark workflows into production systems.
MLOps & Pipeline Automation
• Build, automate, and maintain robust end-to-end machine learning pipelines for model training, validation, and deployment.
• Implement and govern MLOps workflows to support automated model monitoring, versioning, retraining, and continuous integration/continuous delivery (CI/CD).
• Improve the reliability, automation, and scalability of production machine learning environments using Jupyter Notebooks and orchestration tools.
Data Integration & Stakeholder Collaboration
• Perform complex SQL-based data extraction, transformation, feature engineering, and integration of third-party data sources.
• Partner directly with cross-functional stakeholders in Product, Engineering, and Business teams to translate operational requirements into technical AI solutions.
• Document workflows and present clear technical findings, methodologies, and strategic recommendations to both technical and non-technical audiences.
Required Qualifications
• 7 or more years of professional experience in Data Science or Machine Learning.
• Demonstrated experience developing, optimizing, and supporting production-grade machine learning and predictive models.
• Strong industry experience within a Software-as-a-Service (SaaS) or modern digital product environment.
• Hands-on experience building and deploying machine learning solutions utilizing Snowflake Cortex ML.
• Expert-level programming skills in Python and advanced SQL querying.
• Proven experience establishing and automating MLOps pipelines, including model deployment, monitoring, versioning, and CI/CD.
• Strong background in data integration, data quality verification, and advanced feature engineering.
• Experience collaborating directly with business stakeholders to translate business needs into technical AI and ML solutions.
Preferred Qualifications
• Hands-on experience with Large Language Models (LLMs) or Generative AI integrations.
• Experience utilizing Snowpark and modern Snowflake AI/ML platform capabilities.
• Practical familiarity with Git, version control systems, and enterprise data pipelines.
• Experience using cloud-based AI platforms and advanced production analytics tools.
Core Skills & Attributes
• Exceptional analytical, problem-solving, and statistical modeling capabilities.
• Strong communication and presentation skills, with the ability to translate technical AI concepts into clear business value.
• Excellent stakeholder management and collaboration skills across cross-functional engineering, product, and business domains.
• Self-motivated with a strong attention to detail and the ability to operate independently in a fully remote environment.

This is a remote position.