G2i Inc. - Senior Data Engineer
Requirements
• The company is a pre-launch fintech startup building blockchain-based payment infrastructure for the real-time, 24/7 movement of digital money across traditional finance and digital asset ecosystems. • Our platform brings cash on-chain through tokenization and supports payment use cases for banks, digital asset exchanges, and their customers. • We’re looking for a Senior Data Engineer to become the first key technical owner of Cari’s analytical data foundation. • You will design the ingestion and governance layer that transforms data from our transactional systems into a reliable analytical platform for compliance, reporting, and future analytics use cases. Since there is no existing data lake or warehouse, this is a hands-on, greenfield opportunity to establish the pipelines, architecture, and governance practices from the ground up. • Engineering leadership is currently evaluating AWS-native tooling, Snowflake, and Databricks. You will contribute directly to that decision, with particular focus on governance, compliance, data residency, and long-term operational fit. • This role is ideal for someone who can independently own a technical domain, make well-reasoned architectural decisions, and build production-ready systems in an early-stage environment. • Experience in fintech, payments, banking, healthcare, or another regulated industry. • Experience working with data governance requirements carrying contractual or regulatory significance. • Familiarity with blockchain or on-chain data, including transaction histories and event logs. • Experience with SOC 2, data residency requirements, or similar compliance frameworks. • Familiarity with Terraform or comparable infrastructure-as-code tooling. • Previous experience mentoring data engineers or helping build a data platform function. • What They Offer • Competitive base salary, bonus, and equity. • Medical, dental, and vision coverage. • 401(k) with employer matching. • Flexible paid time off. • Remote-first working environment. • The opportunity to build a critical data platform from the ground up and influence foundational technology decisions.
Responsibilities
• Design and own ingestion pipelines from PostgreSQL and Kafka/AWS MSK into Cari’s analytical platform. • Define clear boundaries around which data is replicated, transformed, or derived. • Provide technical input into the evaluation of AWS-native tooling, Snowflake, and Databricks. • Assess platform tradeoffs involving governance, compliance, auditability, data residency, and operational complexity. • Establish data governance practices, including access controls, audit logging, data lineage, and traceability. • Ensure the analytical platform remains strictly derived from Cari’s transactional PostgreSQL source of truth. • Prevent the analytical layer from becoming a shadow system of record or a path back into live transaction processing. • Define data quality, validation, and reconciliation processes for compliance reporting, dashboards, and future analytical use cases. • Establish production standards for pipeline monitoring, alerting, observability, failure recovery, and operational ownership. • Write RFCs, architecture proposals, and design documentation that engineers and non-data stakeholders can act on. • Mentor less-experienced data engineers as the data function grows. • What They’re Looking For • 5–7+ years of professional data engineering experience. • Hands-on experience designing and building data pipelines, rather than only maintaining an established platform. • Production experience ingesting data from transactional databases such as PostgreSQL. • Production experience with Kafka, AWS MSK, or comparable streaming and event-driven technologies. • Experience establishing data governance practices, including access control, audit logging, and data lineage. • Working knowledge of AWS-native data tooling, Snowflake, and Databricks, including their governance and compliance tradeoffs. • Strong understanding of transactional systems of record and how to keep analytical platforms strictly downstream and derived. • Experience defining data quality, reconciliation, and reliability standards for production pipelines. • Strong written communication skills, including experience producing RFCs and technical design documents. • Ability to independently own a technical domain in an early-stage environment without an established playbook. • Must be authorized to work in the United States.
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