Sr. Data Engineer

Crowd Street
91d$140,000 - $160,000

About The Position

As a Senior Data Engineer, you will play an integral role in building Crowd Street’s new data platform from zero to one. You will have the opportunity to influence the architecture of our new data platform and be responsible for the full lifecycle of software development including design, implementation, testing, documentation, operation, and ongoing support. In this role you will interact directly with teams across Crowd Street’s business to translate ambiguous data needs into actionable initiatives for the Data team.

Requirements

  • 5+ years experience working hands-on in Microsoft’s Azure data stack including Azure Data Factory, Azure Synapse Analytics, and Microsoft 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 business stakeholders to identify requirements and communicate progress
  • 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

Nice To Haves

  • Experience building ETL pipelines from scratch
  • Experience independently troubleshooting and resolving issues
  • Experience building and maintaining data warehouses
  • Experience writing Python (or similar) code in Synapse or Databricks Notebooks
  • Experience creating data models from Data Warehouse
  • Experience authoring reports
  • Familiarity with Microsoft’s next-generation data platform

Responsibilities

  • Unlock business-critical reporting through the ingestion of disparate data sources into our centralized data platform
  • Reveal key insights through proper data modeling, aggregation and analysis in our data warehouse
  • Own and maintain data pipelines that support the essential day-to-day operation of Crowd Street’s business
  • Collaborate with Application Engineering, Product Management, 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

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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