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See allAccountabilities:
- Design, build, and maintain scalable data pipelines to ingest, reconcile, transform, and publish data for business-critical products.
- Develop robust, analytics-ready data models and metrics for financial reconciliation, claims, operations reporting, and experimentation.
- Collaborate with engineering, product, finance, and operations teams to translate business needs into effective data solutions.
Requirements:
- At least 6 years of experience in data engineering or software engineering.
- Strong experience with production-grade ETL/ELT pipelines and data modeling.
- Hands-on experience with Apache Spark, advanced SQL, and Python, Scala, or Java.
Nice to have:
- Experience with insurance, payments, or financial services data.
- Familiarity with external partner data feeds and financial reconciliation processes.
- Knowledge of data quality frameworks and observability practices.
Benefits:
- Competitive annual base salary from $196,000 to $227,000 USD.
- Performance-based bonuses and equity potential.
- Remote flexibility and employee travel credits.
Partner Company
The partner company builds scalable data infrastructure supporting financial reconciliation, claims management, and operational reporting. It fosters a remote-friendly, collaborative culture with opportunities for professional growth and an inclusive workplace.