CrowdStreet
The largest online private equity real estate investing platform.
Senior Data Engineer – Marketing Analytics
Location
United States
Posted
44 days ago
Salary
$140K - $160K / year
Bachelor Degree5 yrs expEnglishAzureETL
Job Description
• Unlock business-critical reporting through the ingestion of disparate data sources into our centralized data platform, including Marketing data from Google Ads, Google Analytics, Google Tag Manager, LinkedIn, Meta and other sources
• Reveal key insights through proper data modeling, aggregation and analysis in our data warehouse to enable reporting on ad campaign performance, attribution and user journey analysis
• Own and maintain data pipelines that support the essential day-to-day operation of Crowd Street’s business
• Collaborate with Application Engineering, Product Management, Marketing and other teams to identify and deliver the highest impact enhancements in a timely manner
• Monitor and manage the overall effectiveness of the data platform to balance performance, stability, and cost
Job Requirements
- 5+ years of experience working hands-on in Microsoft’s Azure data stack including:
- Experience building ETL pipelines from scratch
- Experience independently troubleshooting and resolving issues
- 3+ years of experience working hands-on with Google’s Marketing Analytics platform including:
- Experience automating data export via API
- Experience building campaign performance reports summarized by channel & creative
- Experience defining and measuring custom events
- Experience creating events and implementing triggers
- Experience debugging tag events on live sites
- Experience creating data models and authoring reports in Power BI
- Experience working in a dynamic startup environment
- Comfortable decomposing large, ambiguous projects into actionable tasks
- Experience designing and implementing data platforms using industry best practices
- Experience interacting directly with Marketing stakeholders to identify requirements and translate objectives into data solutions
- Experience collaborating as part of a team with fellow Data Engineers and Product Managers while executing agile practices like code reviews, pair programming, and demos
Benefits
- Stock option equity to share in the company’s success
- Variable pay opportunities based on performance
- 401(k) plan with corporate match to support long-term financial well-being
- Flexible time off to support work-life balance
- Home office stipend to help create a productive remote workspace
- Comprehensive health benefits, including medical, dental, and vision coverage
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