As a Solutions Engineer II, you will work with data partners, assess requirements, and recommend or build pipeline improvements to manage data export and delivery in an efficient, scalable process.
Requirements
- 2+ years of professional experience in a technical role requiring advance knowledge of data pipelines, data integration, and data quality initiatives
- Experience in requirements analysis and functional specification authorship
- Experience in understanding business and data problems areas and devising actionable solutions
- Project management experience using Jira or similar task management platforms
- Experience writing optimized SQL for processing efficiency
- Experience with data modeling and orchestration tools
- Strong experience with SQL-based analytical data warehouses (e.g., Snowflake), and familiarity with object storage and non-relational data stores used in production systems (e.g., S3, DynamoDB)
- Experience owning and operating an ETL and ELT processes, data warehouses, and business intelligence tools
- Experience clearly communicating about data with internal and external stakeholders and senior leadership from both technical and nontechnical backgrounds
- Ability to thrive in a highly autonomous, matrixed organization and manage multiple, concurrent work streams
- Proficiency in at least one imperative programming language (i.e., Python)
- Experience deploying and managing cloud resources on AWS, Azure, or GCP
- Experience implementing data quality, data governance, or disaster recovery initiatives
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience
Benefits
- Competitive compensation package
- Base salary range: $119,000 - $140,000
- Equity
- Benefits
