Data Infrastructure Engineer (Fintech)

Location: New York City or San Francisco, United States

Salary: $170K–$230K annually, plus equity

Company

hirify.global builds modern co-branded credit card programs and embedded financial products using payments infrastructure, intelligent underwriting, and customer data.

What you will do

• Design, build, and operate scalable data infrastructure for high-volume ingestion, transformation, storage, and access.
• Develop a secure partner data sharing platform with strong governance, reliability, and auditability.
• Build identity graph components connecting customer, account, transaction, partner, merchant, and behavioral data.
• Improve data quality, lineage, observability, reliability, and governance across critical pipelines and datasets.
• Create reusable abstractions, tooling, and frameworks for engineers and analysts to safely discover and use data.
• Support batch and real-time use cases while balancing latency, correctness, cost, and operational complexity.

Requirements

• 5+ years of hands-on experience building data platforms, distributed systems, infrastructure, or backend systems at scale.
• Strong experience with production data pipelines, modern processing frameworks, and orchestration tools.
• Deep understanding of data modeling, data quality, schema management, lineage, observability, and governance.
• Experience with cloud data infrastructure, object storage, warehouses, lakehouse architectures, streaming systems, and compute platforms.
• Proficiency in one or more languages such as Python, Java, Scala, Go, or Kotlin, plus strong backend engineering fundamentals.
• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or equivalent practical experience.

Nice to have

• Experience with partner-facing data platforms, identity resolution, entity matching, graph-based systems, or customer 360 platforms.
• Experience in regulated environments such as fintech, banking, lending, payments, SOC, or PCI.
• Experience with Kafka, Flink, Spark Streaming, Snowflake, Databricks, dbt, Airflow, Dagster, Iceberg, or Delta Lake.
• Familiarity with privacy-preserving data sharing, clean rooms, data contracts, consent management, or fine-grained authorization.

Culture & Benefits

• Competitive compensation and equity package.
• Choice of leading configured work computers.
• Flexible paid time off.
• Fully covered healthcare, including dependent coverage, with One Medical and FSA options.
• 20 weeks of paid parental leave for primary caregivers and 8 weeks for all new parents.
• Access to modern technology and resources supporting innovation, optimization, and productivity.