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Data Acquisition Specialist

Smarty
Full-time
On-site
Orem, Utah, United States
🌐 Digital Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Data Acquisition Specialist

πŸ”Ή Company: Smarty

πŸ”Ή Location: Orem, Utah

πŸ”Ή Job Type: On-site

πŸ”Ή Category: Software Development

πŸ”Ή Date Posted: 2025-04-30

πŸ”Ή Experience Level: 2-5 years

πŸ”Ή Remote Status: On-site

πŸš€ Job Overview

Key aspects of this role include:

  • Researching and utilizing various data sources to meet organizational objectives
  • Performing validation and verification testing on data
  • Building and maintaining data pipelines to process and structure geospatial data
  • Collaborating with product managers and engineering teams to uncover insights and deliver data
  • Participating in company cultural training initiatives and applying learned principles in work and interactions

ASSUMPTION: This role requires a strong background in GIS data and experience with various data sources to effectively meet organizational objectives.

πŸ“‹ Key Responsibilities

βœ… Research, identify, and utilize various data sources to meet organizational objectives

βœ… Perform validation and verification testing on the data

βœ… Build, optimize and maintain data pipelines to process and structure geospatial data for internal use

βœ… Automate tasks through appropriate tools and scripting

βœ… Extract and compile geocode data for use in new and existing product lines

βœ… Collaborate with product managers to define data requirements for new features

βœ… Work with engineering teams to uncover insights and deliver data that meets functional requirements

βœ… Perform spatial analysis to support decision-making and product planning

βœ… Ensure data quality, completeness, and consistency across systems

βœ… May assist with custom data queries or visualizations to support internal use cases

βœ… Work hard, master your craft, and enjoy the journey - boldly going where no SaaS company has gone before

ASSUMPTION: This role requires strong analytical and problem-solving skills to effectively manage and analyze large datasets.

🎯 Required Qualifications

Education: Bachelor's degree in Geography, Geospatial Sciences, Computer Science, Data Science, or a related field

Experience: 2-5 years of experience with GIS data, ideally in a tech environment

Required Skills:

  • Knowledge of geographic and international datasets
  • Deep data sourcing skills in public and private domains
  • Technical experience with ArcGIS, QGIS, Alteryx, and SQL
  • Experience translating large, messy datasets into structured formats

Preferred Skills:

  • Comfortable working with APIs, data versioning, or integrating GIS data into customer-facing applications
  • Knowledge of and hands-on experience with databases
  • Programming experience in languages including Golang, Python, Java, SQL, etc.
  • Understanding of data governance and compliance standards

ASSUMPTION: Strong technical skills in GIS data and experience with various data sources are crucial for success in this role.

πŸ’° Compensation & Benefits

Salary Range: $70,000 - $90,000 per year (Based on industry standards for a mid-level GIS data specialist in Utah)

Benefits:

  • Excellent compensation (DOE)
  • 100% paid health, dental and basic life insurance premiums (includes family coverage)
  • Long term disability insurance
  • Generous paid time off that increases with tenure
  • 401(k) retirement plan with matching
  • Employee Assistance Program
  • Ongoing training for professional and career development
  • Great workplace and the tools to accomplish your work
  • Fully stocked kitchen with unlimited drinks and snacks
  • Team building lunches and activities
  • In-office chiropractic services
  • Many other perks, including company retreats and trips to exciting locations

Working Hours: Full-time (40 hours per week)

ASSUMPTION: The salary range is estimated based on industry standards for a mid-level GIS data specialist in Utah. Actual compensation may vary based on experience and qualifications.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Smarty is a leader in location data intelligence, providing enterprise-grade SaaS solutions for address validation, standardization, and geocoding in 240+ countries and territories.

Company Size: 51-200 employees. As a mid-sized company, Smarty offers a mix of startup agility and established processes, providing opportunities for growth and innovation.

Founded: 2011. Smarty has been profitable, self-funded, and growing by leaps and bounds since its founding.

Company Description:

  • Smarty is the three-time heavyweight world champion of location data intelligence
  • Companies like Microsoft, Netflix, and NASA use Smarty to process colossal amounts of location data at breakneck speed
  • Smarty’s APIs verify, validate, enrich, standardize, geocode, and auto-complete addresses in 240+ countries and territories

Company Specialties:

  • Address Verification
  • Address Data Scrubbing
  • Address Standardization
  • Customer Support
  • US Autocomplete API
  • US ZIP Code API
  • US Street Address API
  • International Street Address API
  • International Street Address Verification
  • Geocoding
  • Reverse Geocoding
  • Data Standarization
  • Rooftop Geocoding
  • Bulk Address Validation
  • Address Autocomplete
  • US Autocomplete
  • Address Verification Software
  • and Cloud Based Software

Company Website: www.smarty.com

ASSUMPTION: Smarty's focus on location data intelligence and its work with high-profile clients make it an attractive opportunity for GIS data specialists.

πŸ“Š Role Analysis

Career Level: Mid-level. This role requires 2-5 years of experience and offers opportunities for growth and career development.

Reporting Structure: The Data Acquisition Specialist will report directly to the Product team and collaborate with various teams, including Engineering and Product Management.

Work Arrangement: On-site. This role requires working on-site at Smarty's headquarters in Orem, Utah.

Growth Opportunities:

  • Potential career progression into senior roles within the Product or Data teams
  • Opportunities to work on cutting-edge products and systems
  • Chance to gain experience with various data sources and tools

ASSUMPTION: This role offers strong potential for career growth and development within the Product and Data teams at Smarty.

🌍 Location & Work Environment

Office Type: Smarty's headquarters is a modern, collaborative workspace designed to foster innovation and creativity.

Office Location(s): 1476 Sandhill Rd, Orem, Utah 84058, US and 3214 N University Ave, #409, Provo, Utah 84604, US

Geographic Context:

  • Orem, Utah is located in the heart of the Wasatch Range, offering easy access to outdoor recreation and a high quality of life
  • The area has a semi-arid climate with four distinct seasons
  • Orem is part of the Provo-Orem metropolitan area, which has a population of over 600,000 people

Work Schedule: Full-time (40 hours per week), with flexible hours and remote work options available for some teams.

ASSUMPTION: Smarty's modern, collaborative work environment and the high quality of life in Orem make it an attractive place to work and live.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application submission
  • Phone or video screening with the Hiring Manager
  • On-site or virtual interview with the Product team and other stakeholders
  • Background check and reference check
  • Job offer and onboarding

Key Assessment Areas:

  • Technical skills in GIS data and experience with various data sources
  • Problem-solving skills and ability to work with large, messy datasets
  • Collaboration and communication skills
  • Cultural fit and alignment with Smarty's values

Application Tips:

  • Highlight your relevant experience with GIS data and data sourcing in your resume
  • Tailor your cover letter to demonstrate your understanding of the role and Smarty's mission
  • Prepare for behavioral and technical interview questions focused on your experience with GIS data and data sourcing
  • Be ready to discuss your approach to working with large, messy datasets and performing data validation
  • Demonstrate your ability to collaborate and communicate effectively with various teams

ATS Keywords: GIS Data, Data Sourcing, ArcGIS, QGIS, Alteryx, SQL, APIs, Data Versioning, Databases, Programming, Data Governance, Data Compliance, Spatial Analysis, Data Validation, Data Quality, Data Pipelines

ASSUMPTION: Smarty's interview process focuses on assessing technical skills and cultural fit, with a strong emphasis on problem-solving and collaboration.

πŸ› οΈ Tools & Technologies

  • ArcGIS
  • QGIS
  • Alteryx
  • SQL
  • APIs
  • Data versioning tools
  • Databases
  • Programming languages (Golang, Python, Java, etc.)

ASSUMPTION: This role requires strong technical skills in GIS data and experience with various data sources and tools.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Ridiculously awesome customer support
  • Data-driven decision making
  • Continuous learning and improvement
  • Transparency and open communication
  • Work-life balance

Work Style:

  • Collaborative and team-oriented
  • Agile and adaptable
  • Data-driven and analytical
  • Customer-focused
  • Fun and casual work environment

Self-Assessment Questions:

  • Do you align with Smarty's values, particularly in terms of customer support and data-driven decision making?
  • Are you comfortable working in a collaborative, agile, and data-driven environment?
  • Do you thrive in a fun and casual work environment?

ASSUMPTION: Smarty's values and work style emphasize collaboration, data-driven decision making, and a fun, casual work environment.

⚠️ Potential Challenges

  • The role may require working with large, messy datasets, which can be complex and time-consuming
  • Data sourcing and validation can be challenging, requiring strong problem-solving skills and attention to detail
  • The role may require working with tight deadlines and competing priorities
  • The on-site work arrangement may not be suitable for candidates who prefer remote or hybrid work arrangements

ASSUMPTION: These challenges are inherent to the role and require strong technical skills, problem-solving abilities, and attention to detail to overcome.

πŸ“ˆ Similar Roles Comparison

  • This role differs from related positions in its focus on GIS data and data sourcing, rather than data analysis or visualization
  • Industry-specific context: Smarty's focus on location data intelligence sets it apart from other companies in the GIS and data analytics fields
  • Career path comparison: This role offers opportunities for growth and development within the Product and Data teams at Smarty

ASSUMPTION: This role offers unique opportunities for growth and development within the Product and Data teams at Smarty.

πŸ“ Sample Projects

  • Developing and optimizing data pipelines to process and structure geospatial data for internal use
  • Extracting and compiling geocode data for use in new and existing product lines
  • Performing spatial analysis to support decision-making and product planning

ASSUMPTION: These sample projects demonstrate the key responsibilities and required skills for the Data Acquisition Specialist role at Smarty.

❓ Key Questions to Ask During Interview

  • Can you describe the team structure and dynamics within the Product and Data teams?
  • How does Smarty support the professional development and growth of its employees?
  • What are the biggest challenges facing the Data Acquisition team currently, and how can this role help address them?
  • How does Smarty ensure the quality, completeness, and consistency of its data across systems?
  • What are the most rewarding aspects of working at Smarty, according to current employees?

ASSUMPTION: These questions will help you better understand the role, team dynamics, and company culture at Smarty.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Tailor your resume to highlight your relevant experience with GIS data and data sourcing
  • Write a cover letter demonstrating your understanding of the role and Smarty's mission
  • Prepare for behavioral and technical interview questions focused on your experience with GIS data and data sourcing
  • Follow up with the Hiring Manager one week after submitting your application to express your interest in the role

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.