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Web Scraping Engineer Jobs in Utah (NOW HIRING)

Python Tutor

Cedar City, UT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Provo, UT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Logan, UT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

... programming skills. - Basic SQL capabilities: joining tables, using 'group by' clauses, case ... web scraping, APIs). - Experience writing VBA macros a plus. - Experienced and comfortable ...

Data Analyst

Salt Lake City, UT · On-site

$60 - $80/hr

... programming skills. - Basic SQL capabilities: joining tables, using 'group by' clauses, case ... web scraping, APIs). - Experience writing VBA macros a plus. - Experienced and comfortable ...

... programming skills. - Basic SQL capabilities: joining tables, using 'group by' clauses, case ... web scraping, APIs). - Experience writing VBA macros a plus. - Experienced and comfortable ...

Web Scraping Engineer information

What does a web scraping engineer do?

A Web Scraping Engineer designs and develops software tools or scripts to automatically extract data from websites. They work with programming languages like Python and use libraries such as BeautifulSoup or Scrapy to gather and process web data efficiently. In addition to building scrapers, they also handle challenges such as dealing with website restrictions, CAPTCHAs, and ensuring compliance with legal and ethical guidelines. Their work is often used for market research, data analysis, or feeding information into business applications.

What are some common challenges faced by web scraping engineers when extracting data from dynamic websites?

Web Scraping Engineers often encounter challenges such as navigating websites that use JavaScript to load content dynamically, dealing with anti-bot measures like CAPTCHAs or IP blocking, and ensuring data accuracy as website structures frequently change. To address these issues, engineers typically use headless browsers, rotating proxies, and robust error handling strategies. Staying up-to-date with the latest web technologies and adapting scripts proactively are essential for long-term success in this role.

What are the key skills and qualifications needed to thrive as a web scraping engineer, and why are they important?

To thrive as a Web Scraping Engineer, you need strong programming skills (especially in Python), knowledge of data extraction techniques, and familiarity with web protocols and HTML structure. Expertise with tools like Scrapy, BeautifulSoup, Selenium, and experience with APIs or anti-bot evasion techniques is typically required. Attention to detail, problem-solving, and strong analytical thinking are essential soft skills in this field. These skills ensure efficient, ethical, and reliable extraction of data from diverse web sources while navigating technical and legal complexities.

What is the difference between Web Scraping Engineer vs Data Engineer?

AspectWeb Scraping EngineerData Engineer
Primary FocusDeveloping and maintaining web scraping tools to extract data from websitesBuilding and managing data pipelines and infrastructure for data storage and processing
Skills & CertificationsPython, APIs, HTML, CSS, web scraping libraries (BeautifulSoup, Scrapy)SQL, ETL tools, cloud platforms, programming (Python, Java)
Work EnvironmentTech companies, data-driven startups, research projectsLarge enterprises, data warehouses, cloud environments
Industry UsageData collection for analytics, research, competitive analysisData integration, analytics, machine learning pipelines

While both roles involve working with data, a Web Scraping Engineer specializes in extracting data from websites using scraping tools, whereas a Data Engineer focuses on building data pipelines and infrastructure for storing and processing large datasets. The roles often overlap in skills like Python programming but serve different core functions within data ecosystems.

What are popular job titles related to Web Scraping Engineer jobs in Utah?

For Web Scraping Engineer jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Web Scraping Engineer jobs?

Cities in Utah with the most Web Scraping Engineer job openings:

Infographic showing various Web Scraping Engineer job openings in Utah as of September 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Director, Analytics - B2B Growth

West Valley City, UT • On-site

Snap Finance
Finance and Insurance • 1 - 5K employees

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Company Overview:

At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation. If you're looking to make an impact and grow with a team that values you, come join us!

Job Description

Join the Consumer Growth Analytics team at Snap, where we leverage data to accelerate revenue and partner growth across the business. We’re seeking a senior leader to own analytics for a broad range of revenue-driving teams—including SMB Sales, Large Market Sales, Strategic Partnerships, Sales Ops, Rev Ops, and B2B Marketing. In this high-impact role, you’ll lead forecasting, opportunity sizing, and partner performance analysis; support enterprise deal development with market intelligence and RFP analytics; and improve lead qualification and onboarding efficiency to better serve our core ALICE customer (Asset Limited, Income Constrained, Employed). This is a strategic, cross-functional role on a collaborative, high-ownership team where innovative thinking, partnership, and measurable impact are the standard.

How you’ll make an impact:Strategic Sales Analytics for Partner Growth

Identify and quantify opportunities across existing and potential partners, including whitespace analysis and share-of-wallet opportunity sizing. Develop and own frameworks for tracking and improving key sales performance metrics across partner lifecycle stages—from onboarding through growth and retention. Serve as a strategic partner to RevOps, Sales Leadership, Partner Strategy, and B2B Marketing, providing the analytical foundation for revenue-driving initiatives.

Large Market & Enterprise Team Support

Conduct partner-level forecasting to project performance based on historical trends, cohort modeling, and macroeconomic indicators. Lead market research and prospect intelligence efforts for potential enterprise partnerships, including: Web scraping and secondary data gathering to assess market footprint, business scale, and potential vertical integration. Estimating current and potential volume and revenue impact for use in executive-level partnership pitches. Collaborate with sales team members to produce high-impact, data-driven materials in response to RFPs, including tailored opportunity sizing and performance projections.

SMB Sales & Growth Optimization

Design lead scoring and qualification models to improve top-of-funnel lead quality and reduce disqualification rates. Partner with SMB Sales and Customer Success teams to identify behavioral and operational signals for successful onboarding and partner retention. Support territory planning, rep-level performance optimization, and resource allocation across inside sales, field teams, and customer success groups. Analyze marketing and sales funnel effectiveness to drive improvements in campaign targeting, messaging, and ROI.

Campaign, Funnel & Lifecycle Analytics

Analyze B2B marketing campaign effectiveness across acquisition, onboarding, and retention, with a focus on optimizing lifetime value. Build predictive models for churn risk, engagement trends, and bottlenecks in the sales funnel. Evaluate the impact of onboarding, training, and enablement initiatives on partner performance and revenue contribution.

Predictive Modeling & Advanced Analytics

Collaborate with Data Science teams to build and deploy machine learning models for lead prioritization, partner segmentation, location-based targeting, and behavior forecasting. Apply advanced techniques such as probabilistic matching, multi-touch attribution, and geographic optimization to enhance partner insights.

Experimentation & Strategic Testing

Design and evaluate experiments aimed at improving sales performance, partner onboarding, product adoption, and campaign strategy. Synthesize experimental results into actionable insights that improve conversion rates and increase sales team effectiveness.

What you’ll need to succeed:

10+ years of experience in analytics, strategy, or growth roles within B2B, fintech, or financial services environments, with demonstrated success across both enterprise and SMB sales models. Proven ability to generate revenue impact through analytics in sales, marketing, and partner growth contexts. Deep experience supporting enterprise partnership development—including forecasting, RFP response analytics, and market research. Strong understanding of lead qualification, funnel conversion, and lifecycle management in SMB contexts. Expertise in SQL and familiarity with Python or R for analytics and predictive modeling; ability to partner effectively with Data Engineering and Data Science teams. Experience conducting web scraping and third-party data acquisition for market intelligence and strategic research. Proficiency with modern analytics tools (e.g., Snowflake, dbt, Tableau, Looker, Amplitude). Excellent storytelling, communication, and executive influence skills; capable of turning complex data into business-aligned insights. Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Engineering); Master’s degree or MBA preferred.

Why Join Us:
  • Generous paid time off
  • Competitive medical, dental & vision coverage
  • 401K with company match for US
  • Company-paid life insurance
  • Company-paid short-term and long-term disability
  • Access to mental health and wellness resources
  • Company-paid volunteer time to do good in your community
  • Legal coverage and other supplemental options
  • A value-based culture where growth opportunities are endless

Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Learn more by visiting our website at www.snapfinance.com.

California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice

Our Mission and Success are creating opportunities.

As this Snap team continues to grow, we are selecting the most talented individuals to join and contribute - our continued success depends on it!

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