Data Operations Specialist

Data Operations Specialist
Location: Hybrid (Minneapolis-St. Paul area; in-person 1 day every 2 weeks)
Employment Type: Full-time

About WageScape

WageScape is the world’s largest real-time labor market intelligence platform, delivering continuously updated insight into workforce dynamics, wage trends, hiring behavior, and economic signals across more than 200 countries.

Our platform collects, processes, and delivers data 24x7x365-powering decisions for a wide range of users:

• Financial services firms use our intelligence to understand the direction of companies and supply chains.
  
• Economists and researchers gain unprecedented detail into labor market trends and broader economic indicators.
  
• Universities leverage our data for research across economics, public policy, labor, education, and technology.
  
• Enterprises, HR tech providers, and consulting firms rely on WageScape to guide compensation strategy, recruiting efforts, and workforce planning.
  

In addition to global pay and hiring data, our platform includes extensive intelligence on

talent and skills supply and macroeconomic conditions-enabling a deeper understanding of how labor markets evolve in real time.

Delivering this intelligence at scale requires

robust, reliable operational infrastructure-and that's where you come in.

Job Summary

We’re hiring a

Data Operations Specialist to help manage and scale the infrastructure that powers WageScape’s data engine. You’ll be responsible for operating and optimizing our data pipelines, ensuring high availability, performance, and integrity across our cloud environment. This is a full-time hybrid position with in-person collaboration just once every two weeks in the Minneapolis-St. Paul area.

You’ll also contribute to product development by bringing an operational perspective to new capabilities and technologies.

Key Responsibilities

• Operate and maintain data workflows for ingestion, transformation, enrichment, and delivery
  
• Monitor system performance, data quality, and pipeline reliability across AWS infrastructure
  
• Configure and support API-based services used for internal tools and client platforms
  
• Troubleshoot and resolve issues quickly and thoroughly, focusing on root cause analysis
  
• Build and maintain monitoring and alerting systems for 24/7 operational visibility
  
• Continuously improve workflows through automation and process optimization
  
• Maintain clear documentation of systems, configurations, and incident responses
  
• Collaborate with engineering and product teams to support new features and enhancements
  
• Learn and adopt new platforms and tools as capabilities expand
  
• Bonus: Experience with Google Cloud Platform (GCP) or other multi-cloud environments
  

Tech Stack

• AWS: S3, Glue, Lambda, Redshift, Elasticache
  
• REST APIs for data services
  
• Monitoring and observability tools
  
• Multi-cloud readiness (GCP experience is a plus)
  

Qualifications

• 2+ years of experience in data operations, analytics engineering, or cloud infrastructure support
  
• Solid hands-on experience with AWS services supporting data workflows
  
• Familiarity with API performance, uptime monitoring, and alerting best practices
  
• Strong analytical, diagnostic, and communication skills
  
• Independent, proactive mindset; thrives in a remote-first environment
  
• Located in the Twin Cities metro area with availability for biweekly in-person meetings
  
• Experience with GCP or other cloud platforms is a plus
  

Why Join Us

• Operate at scale: Help run the infrastructure behind a global, 24/7 real-time data platform
  
• Work with purpose: Support institutions and leaders with actionable insight into labor and economic dynamics
  
• Broaden your scope: Contribute to product development by shaping how data operations power new capabilities
  
• Hybrid flexibility: Enjoy the benefits of remote work with meaningful in-person collaboration every other week
  
• Collaborative team, modern tools: Join a high-performing team solving real problems with smart, scalable solutions
  

Job Type: Full-time

Pay: $75,000.00 - $85,000.00 per year

Experience:

• ETL/Data Operatoins: 2 years (Required)
  

Ability to Commute:

• Minneapolis, MN 55416 (Required)
  

Work Location: Hybrid remote in Minneapolis, MN 55416