Infrastructure Engineer

Imprint
New York, San Francisco
Workplace: OnsiteFull timeUSD 170,000 - 230,000 annuallyFunction: DevOps, Cloud & InfrastructureEducation: bachelorsSkills: ["Ownership","Communication","Problem-solving","Analytical thinking","Systems thinking"]

Design, build, and operate scalable data infrastructure that supports high-volume ingestion, transformation, storage, and access across the company. Lead architecture and implementation of a partner data sharing platform and build core identity graph components to unify customer and partner signals. Improve data quality, lineage, observability, reliability, and governance, collaborating with Data, Risk, Product, Engineering, Security, and Compliance while balancing real-time and batch trade-offs.

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FursaFursa
Imprint
Imprint
2 days ago

Infrastructure Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Design, build, and operate scalable data infrastructure that supports high-volume ingestion, transformation, storage, and access across the company. Lead architecture and implementation of a partner data sharing platform and build core identity graph components to unify customer and partner signals. Improve data quality, lineage, observability, reliability, and governance, collaborating with Data, Risk, Product, Engineering, Security, and Compliance while balancing real-time and batch trade-offs.
Location: New York, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design, build, and operate scalable data infrastructure for ingestion, transformation, storage, and access across the organization.
  • •Drive architecture and implementation of a partner data sharing platform for secure, reliable, governed data exchange with external partners.
  • •Build core components of the identity graph to unify customer, account, transaction, partner, and behavioral signals.
  • •Develop systems to improve data quality, lineage, observability, reliability, and governance across critical pipelines and datasets.
  • •Partner with Data, Risk, Product, Engineering, Security, and Compliance to define secure, auditable, easy-to-use data platform capabilities.

Pay and Benefits

Salary: USD 170,000 - 230,000 annually
Perks:Health InsurancePaid LeaveEquity

Key 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 using modern data processing frameworks and orchestration tools.
  • •Deep understanding of data modeling, data quality, schema management, lineage, observability, and governance best practices.
  • •Experience with cloud-based data infrastructure, including object storage, warehouses/lakehouse architectures, streaming systems, and compute platforms.
  • •Proficiency in one or more programming languages such as Python, Java, Scala, Go, or Kotlin, plus a bachelor’s degree (or equivalent practical experience).
Experience:FintechPaymentsDistributed systemsData engineeringBackend systemsData platforms
Education:Bachelor's in Computer Science, Computer Engineering, Information Systems, or equivalent practical experience
Skills:OwnershipCommunicationProblem-solvingAnalytical thinkingSystems thinking
Tech Stack:PythonJavaScalaGoKotlinKafkaFlinkSpark StreamingSnowflakeDatabricksDbtAirflowDagsterIcebergDelta LakeObject storageLakehouseStreaming systemsCompute platforms

Company Brief

Imprint
Builds a modern co-branded financial platform that partners with consumer brands to design, launch, and operate credit, deposit, and loyalty products that drive engagement, spend, and long-term customer value.
Industry: Fintech Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: New York, United States
Founded: 2020
Glassdoor
Glassdoor: 3.0
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