2

Remote Data Extraction Jobs in Connecticut (NOW HIRING)

Senior Data Engineer

Hartford, CT · Remote

$106K - $145K/yr

Design, develop, and maintain ETL processes and data structures following best practices. * Work ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Senior Data Engineer

Stamford, CT · Remote

$113K - $153K/yr

Design, develop, and maintain ETL processes and data structures following best practices. * Work ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

RevOps Analytics Manager

Shelton, CT · On-site +1

$100K - $120K/yr

At least four years of advanced SQL experience for data extraction, transformation, and modeling ... Can be either fully remote (anywhere in U.S.) or hybrid model, depending on proximity to Shelton ...

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

... ETL/ELT, BI), Agentic solutions, graph database solutions, CI/CD, and DevOps. Review & guide in ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

Stamford, CT/Remote Job Type: Long Term Contract Mandatory Skill: Dataiku Engineering experience ... Solid understanding of ETL/ELT, data modeling, and SQL. * Hands-on expertise with the Azure data ...

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ... data and retrieval approaches, including document ingestion pipelines, OCR, layoutaware extraction ...

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ... data and retrieval approaches, including document ingestion pipelines, OCR, layoutaware extraction ...

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Skilled in building semantic models, data models, and ETL/ELT pipelines at scale. * Proficient in ...

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Skilled in building semantic models, data models, and ETL/ELT pipelines at scale. * Proficient in ...

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Skilled in building semantic models, data models, and ETL/ELT pipelines at scale. * Proficient in ...

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Skilled in building semantic models, data models, and ETL/ELT pipelines at scale. * Proficient in ...

This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... extract and analyze large datasets. * Strong analytical skills to assess client-specific data ...

New

next page

Showing results 1-20

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 job categories do people searching Remote Data Extraction jobs in Connecticut look for? The top searched job categories for Remote Data Extraction jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Data Extraction jobs? Cities in Connecticut with the most Remote Data Extraction job openings:
Senior Data Modeler (Snowflake)

Senior Data Modeler (Snowflake)

Fusion Consulting

New Haven, CT • On-site, Remote

Full-time

Posted yesterday

New


Job description

Company Description

Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide.

Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health.

With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions.

Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake.

Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality.

Job Description

We are looking for a skilled and motivated Data Modeler (Snowflake) to support the integration of regional data warehouses into a centralized Snowflake-based data platform for our clients in the pharmaceutical industry. This mid-level role is ideal for candidates with a strong foundation in physical data modeling and implementation, particularly within Snowflake, and who can collaborate across data engineering, architecture, and governance teams. You'll play a vital role in ensuring the data platform is efficient, scalable, and compliant with best practices and governance standards.
What You Will Be Doing:

  • Design and implement physical data models in Snowflake, focusing on scalability, performance, and maintainability.
  • Translate conceptual and logical models into Snowflake-ready schemas, tables, and views.
  • Collaborate with data engineers to refine ETL/ELT processes and data integration patterns.
  • Align models and metadata with governance standards and tools, including Collibra.
  • Ensure all modeling and transformation logic is well-documented for traceability and compliance.
  • Support performance tuning and optimization of data pipelines.
  • Work in a distributed, global environment with both technical and business stakeholders.
Qualifications
  • 4-7 years of experience as a Data Modeler or similar role.
  • Proven expertise in Snowflake physical data modeling and SQL.
  • Understanding of data integration and ETL/ELT principles; experience with tools like dbt, Matillion, or Fivetran is a plus.
  • Experience with Data Vault 2.0 is a must
  • Experience with metadata and data governance platforms, ideally Collibra.
  • Familiarity with AWS services, particularly S3 is a plus
  • Solid grasp of data modeling best practices (e.g., star schema, normalization, data vault).
  • Ability to work independently in a remote, cross-functional environment.
  • Excellent communication and documentation skills.


Preferred:

  • Experience in pharmaceutical/life sciences data and regulatory frameworks.
  • Familiarity with data quality tools such as Ataccama.
Additional Information

WHY YOU SHOULD JOIN FUSION:

At Fusion, you'll join a diverse team of talented professionals from around the world, united by a passion for delivering impactful digital transformation in the life sciences industry. You'll be part of a flat-structured, collaborative organization where decisions are made efficiently, and your expertise directly shapes client outcomes.

You'll work alongside experienced consultants on complex, meaningful projects that demand both precision and innovation. Our culture emphasizes continuous learning, open knowledge sharing, and cross-functional teamwork-empowering you to grow both professionally and personally.

Joining Fusion means becoming part of a company that:

  • Builds strong, trusted partnerships with clients, delivering tailored solutions that create real business value.
  • Drives delivery excellence, holding ourselves accountable for the quality and impact of every outcome.
  • Encourages entrepreneurial thinking, empowering you to take initiative, solve problems, and lead change.
  • Operates with a truly global mindset, where diverse perspectives, cultures, and collaboration fuel our success.

WHAT WE OFFER - FUSION BENEFITS

We've designed our benefits to support your growth, well-being, and global mobility.

Flexibility & Balance

  • Work from Anywhere: Enjoy up to 25 days per year of remote work from any global location.
  • Recharge Freely: Take the time you need with flexible time off-beyond standard holiday allowances.
  • Connect as a Team: Use your team's integration budget to meet, collaborate, and bond.
  • Celebrate Your Birthday: Receive a special gift from Fusion on your birthday.

Growth & Development

  • Invest in Your Learning: Access CHF 1,500 annually for professional development.
  • Grow Your Skills: Join regular workshops and trainings to strengthen technical and soft skills.
  • Advance Continuously: Build the mindset, confidence, and capabilities to grow your career on your terms.
  • Shape an Inclusive Culture: Thrive in a workplace where your individuality is valued, and your voice drives meaningful change.

Recognition & Reward

  • Earn What You're Worth: Receive a competitive salary and benefits package that reflects your impact.
  • Refer Talent: Get rewarded for recommending new hires through our referral program.
  • Stay Rewarded: Access loyalty-based benefits starting from your third year via the Unity Scheme.

Global Mobility & Local Support

  • Relocate with Ease: Receive financial assistance when moving for work.
  • Navigate Global Moves: Get help with visas, permits, and international assignments.
  • Benefit Locally: Enjoy perks tailored to your country of residence.
  • Collaborate Globally: Work in a diverse, inclusive culture where global teamwork drives success.

OUR SELECTION PROCESS:

Your time is valuable. That's why our hiring process is clear, efficient, and focused on mutual fit:

Upload Your CV - Submit your application using the relevant button, depending on the job platform (approx. 3 minutes).

Wait for Profile Review - Our Talent Acquisition team will assess your CV and experience (approx. 2 weeks).

Join an Introductory Call - Our Talent Acquisition team will arrange a brief conversation (15-30 minutes via Teams or phone) to tell you more about Fusion, the role, and understand your expectations.

Attend a Technical Interview - Participate in a 30-minute session with one of our experts to discuss your skills and experience in more detail.

Participate in a Client Interview (if applicable) - For some roles, you may be invited to a client-facing discussion (30-60 minutes online).

Receive Final Feedback - We aim to share timely feedback and move forward quickly.

Fusion is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all.