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VARITE INC · 2 months ago

USA_Engineer

Minneapolis, MN

Full-time

Onsite

Senior Level

$54.26/hr - $60.60/hr

5+ years exp

VARITE INC is a company specializing in digital analytics, and they are seeking a Digital Analytics Engineer – Instrumentation and Tagging. The role involves designing and developing digital data collection platforms, automating data processes, and collaborating with teams to ensure data integrity and actionable insights.

Information Technology & Services

Growth Opportunities

Responsibilities

Design and develop scalable, self-service digital data collection platforms aligned with enterprise technology strategies

Automate and optimize data collection, quality assurance, and monitoring processes using JavaScript

Collaborate closely with cross-functional teams—including developers, architects, and business stakeholders—to bring solutions to life

Ensure data integrity and reliability by implementing robust quality control and monitoring systems

Analyze large datasets using SQL or third-party analytics platforms to extract insights and refine data strategies

Provide thought leadership in digital data collection, aligning strategies with business goals and enterprise technology frameworks

Qualification

Adobe AnalyticsTealium EventStreamSQLAWSHTML/CSSData VisualizationAgile methodologiesSoftware Development Lifecycle

Required

Bachelor's degree in computer science or engineering

Official Adobe Analytics Architect Master Certification and Tealium EventStream iQ Tag Management Certification required

Additional certifications required for various digital analytics roles, including but not limited to: Tealium EventStream API Hub Certification, Adobe Customer Journey Analytics Developer Expert Certification

5+ years of practical implementation experience with one or more web/digital analytics tools (e.g., Adobe Analytics, Google Analytics) and tag management systems (e.g., Tealium, Ensighten, Adobe Launch, Google Tag Manager)

Knowledge of HTML/CSS and front-end development best practices

Proficiency in Presto, SQL, Tableau, or Power BI for data analysis and visualization

Familiarity with Agile methodologies and software development lifecycle (SDLC) best practices