Infrastructure Engineer

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Infrastructure Engineer in USA

Imprint
Full time
Email

USA
08/27/2026
Report

San Francisco, CA

Responsibilities

Design, build, and operate scalable data infrastructure for ingestion, transformation, storage, and data access.
Architect and implement a secure, reliable, and governed partner data sharing platform.
Build identity graph components connecting customer, account, transaction, partner, and behavioral signals.
Develop data quality, lineage, observability, reliability, governance, monitoring, alerting, and incident-response capabilities.
Create abstractions, tooling, and frameworks that enable engineers and analysts to safely discover, consume, and share data at scale.
Design infrastructure supporting both batch and real-time workloads while balancing latency, correctness, cost, and operational complexity.
Solve problems involving entity resolution, schema evolution, access control, privacy boundaries, and partner-specific data contracts.
Collaborate with Data, Risk, Product, Engineering, Security, and Compliance teams to define data platform capabilities.
Promote reproducible pipelines, clear ownership, robust testing, and operational excellence.

Requirements

5+ years of hands-on engineering experience building data platforms, distributed systems, infrastructure, or backend systems at scale.
Strong experience designing and operating production data pipelines with modern data processing frameworks and orchestration tools.
Deep knowledge of data modeling, data quality, schema management, lineage, observability, and governance.
Experience with cloud-based data infrastructure, including object storage, warehouses, lakehouse architectures, streaming systems, and compute platforms.
Experience designing systems with complex data access, privacy, security, and compliance requirements.
Proficiency in one or more programming languages such as Python, Java, Scala, Go, or Kotlin.
Experience building platforms or services for multiple internal customers, including APIs, abstractions, documentation, and operational support.
Strong systems thinking and ability to evaluate latency, consistency, reliability, scalability, cost, and developer-experience trade-offs.
Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or equivalent practical experience.
Preferred experience with partner-facing data platforms, identity resolution, entity matching, graph-based data systems, customer 360 platforms, or knowledge graphs.
Preferred experience in regulated environments such as fintech, banking, lending, payments, SOC, or PCI.
Preferred experience with Kafka, Flink, Spark Streaming, Snowflake, Databricks, dbt, Airflow, Dagster, Iceberg, or Delta Lake.
Preferred familiarity with privacy-preserving data sharing, clean rooms, data contracts, consent management, fine-grained authorization, observability, automated validation, backfills, incident response, and service-level objectives.

Benefits

Competitive compensation and equity packages.
Choice of configured work computers.
Flexible paid time off.
Fully covered healthcare, including dependent coverage, plus access to One Medical and an FSA option.
20 weeks of paid parental leave for primary caregivers and 8 weeks for all new parents.
Access to industry-leading technology and productivity resources across the company.

Salary: $170k - $230k/yr

Imprint

Come and build the easiest and most rewarding way to pay!

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