Senior Data Engineer

Senior Data Engineer

Location

Remote (US-based) or at our headquarters in Lincoln, Nebraska

At Opendorse, we sit on more athlete and NIL data than anyone in the industry - and we’re just getting started. As the leading platform for athlete-brand partnerships, we’ve helped more than 140,000 athletes and thousands of brands connect and thrive in the NIL era. But we know the next frontier isn’t just partnerships - it’s trustworthy, scalable data systems that power intelligence across the business.

• Design, build, and maintain scalable data pipelines in Snowflake, from raw ingestion through analytics-ready marts.
• Own data domains end-to-end, from MSSQL source systems through Fivetran ingestion and downstream consumption.
• Partner with Product, Analytics, and Engineering to translate business needs into durable data models and datasets.
• Proactively monitor data freshness, quality, and reliability to diagnose and resolve issues quickly.
• Optimize Snowflake performance and cost through thoughtful modeling, query design, and workload management.
• Manage schema changes and source-system evolution without disrupting downstream users.
• Document datasets, definitions, and assumptions to improve data trust and self-service across the company.

• Think of data as a product and not just pipelines.
• Care deeply about data quality, reliability, and trust.
• Enjoy solving ambiguous problems and defining the right solution.
• Are comfortable pushing back on unclear or low-value data requests.
• Like partnering closely with analytics, product, and engineering teams.
• Want ownership and accountability without people management.

• Data Warehousing:
  Snowflake
• Data Integration:
  Fivetran or similar managed ELT tools
• Databases: MSSQL (or other relational OLTP systems)
• Languages:
  
  SQL (advanced), Python (for transformation, tooling, or automation)
• Data Modeling:
  Dimensional modeling, slowly changing dimensions, analytics marts
• Analytics Consumption: BI tools such as Tableau

• 5+ years of experience in Data Engineering or Analytics Engineering
• Deep expertise in SQL and data modeling for analytics use cases
• Experience working with managed ELT tools and cloud data warehouses
• Strong understanding of source-system quirks and change management (especially MSSQL)
• Proven ability to design reliable, scalable data systems
• Strong communication skills and a collaborative, pragmatic mindset

Opendorse is currently only able to hire full-time employees who reside in the following states: AZ, CA, CO, FL, GA, IL, IN, IA, KS, LA, MD, MA, MI, MN, MO, NE, NJ, NY, NC, PA, SC, SD, TN, TX, UT, VA, WA, and WI. If you have questions about eligibility or remote work options, feel free to reach out.