Data Engineer II
Everspring
AirflowAmazon RedshiftAWSAzureBigQueryCloudDockerETLGoogle Cloud PlatformPythonSQLTerraform
Salary
💰 $95,000 - $115,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowAmazon RedshiftAzureETL
About the role
- Work on the KORE Intelligence platform at Two Circles, owning backend-heavy capabilities to unify, understand, and activate audience data
- Own the product lifecycle for 1-2 product squads focused on scalability, data quality, and downstream value enablement (segmentation, reporting)
- Work with internal and external stakeholders to identify key use cases, pain points, and automation opportunities across data workflows
- Shape the roadmap for core data capabilities, balancing data availability, data quality, and engineering complexity to drive commercial value
- Collaborate with engineers to develop schema definitions and define scalable, reusable schemas, ETL processes, field mappings, source validation, and observability tools
- Work with external partners (e.g. Ticketmaster, Salesforce, SSO providers) to understand API specifications, access protocols, and integration constraints
- Write clear functional requirements, user stories, and technical acceptance criteria; contribute to backlog prioritization and sprint planning
- Lead and contribute to sprint ceremonies (refinement sessions, stand ups) and support agile delivery
- Ensure data governance, compliance (e.g. GDPR/CCPA), and observability are baked into all products
- Track product usage, drive continuous improvement, and enable self-serve adoption through documentation and internal enablement
- Contribute to documentation, onboarding guides, and support workflows
Requirements
- 3–5 years in product management, with a focus on data platform, data products, or internal tools
- Strong understanding of data lifecycle management: ingestion, transformation, modelling, governance, and analytics enablement
- Experience working with modern data infrastructure and tooling (e.g. Airflow, Azure Data Factory, Databricks, Snowflake, DBT, Redshift)
- Able to navigate technical discussions with engineers and translate them into clear requirements for delivery
- Familiar with data quality and monitoring practices, data observability, schema standardization, and documentation workflows
- Comfortable in agile, cross-functional environments; proactive communicator and problem solver
- Bonus: experience with vendor integrations or managing third-party data pipelines (e.g. Ticketmaster, CRM tools)
- Double Bonus: experience working in the sports and entertainment industry or with first party customer data
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