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Wpromote

Reporting Solutions Engineer

Wpromote

Reporting Solutions Engineer at Wpromote designing data engineering solutions for enterprise clients across MarTech and AdTech platforms. Building and improving reporting solutions using BigQuery and dbt.

Posted 7/21/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $105,000 - $128,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in data engineering solutions, including data modeling with BigQuery and dbt, and proficiency in SQL for reporting and analytics. Strong ability to create data visualizations and collaborate with product teams to enhance reporting platforms.

Highest-signal resume keywords
Data Engineering SolutionsSQL Database DesignData Visualization in LookerBigQuery Data ModelingAPI Integration and Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData ModelingETL ProcessData ManipulationBigQueryDbtPythonJavaScriptLookerData Studio
Soft Skills
Attention to DetailCollaborative MentalityOrganizational SkillsAnalytical MindsetStrong Communication Skills
Tools & Technologies
Google SheetsExcel SheetsAPI CallsCloud PlatformsData Warehousing
Industry Keywords
MarTechAdTechBusiness IntelligenceAnalytics EngineeringMarketing Data Acumen

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryCloudETLJavaScriptPythonSQL

About the role

Key responsibilities & impact
  • Design data engineering solutions for enterprise clients across a variety of MarTech and AdTech platforms
  • Plan how data needs to flow across each client’s MarTech stack so the data can be used in Polaris, our proprietary tech platform
  • Build data models using BigQuery and dbt, designing them for use across reporting, apps, and media forecasting
  • Create, maintain, and improve client reporting
  • Innovate on reporting offerings by designing data visualizations to answer critical business questions
  • Be embedded within the product development team, working with product managers to define requirements for our proprietary reporting platform

Requirements

What you’ll need
  • 5+ years of experience in reporting, BI, or analytics engineering
  • Experience with SQL, database design, and data manipulation methodologies
  • Experience gathering requirements and delivering data visualizations in Looker (preferred) or Data Studio within an Advertising Agency or similar client environment
  • Familiarity with Data Build Tools (dbt)
  • Strong Google/Excel Sheets skills, preferably with appscripts experience
  • Experience working with API calls for the purposes of gathering and storing large datasets (batch or streaming)
  • Experience with at least one cloud platform (BigQuery, Snowflake, Redshift, etc.)
  • Experience with at least one programming language (Python, R, AppScript, JavaScript, etc.), preferably JavaScript or Python
  • Knowledge of database and data warehousing design and management
  • Understanding of ETL process and data modeling experience using SQL
  • Attention to detail with the ability to debug and troubleshoot code/queries
  • A collaborative mentality with the ability to work independently
  • General business and marketing data acumen including an understanding of common marketing goals, KPIs, and tactics
  • Experience integrating and automating pipelines from multiple data sources
  • Strong organizational skills with superior attention to detail with the ability to handle the balancing of multiple tasks and projects
  • The desire to learn new tools, skills, and strategies and the initiative to take on new tasks
  • Both an analytical and design mindset
  • Strong written and verbal communication skills

Benefits

Comp & perks
  • Remote-first culture
  • Unlimited PTO
  • Extended Holiday break (Winter)
  • Flexible schedules
  • Work from anywhere options*
  • 100% paid parental leave
  • 401(k) matching
  • Medical, Dental, Vision, Life, Pet Insurance
  • Sponsored life insurance
  • Short Term Disability insurance and additional voluntary insurance
  • Annual Class Pass credits and more!