Senior Data Infrastructure Engineer

Horizon3.ai
United States
Workplace: RemoteFull timeUSD 202,190 - 237,870 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 7+ yearsEducation: bachelorsSkills: ["Collaboration","Ownership","Communication","Problem-solving","Attention to detail"]

Design, build, and own the data platform that powers business-critical pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau reporting. Operate core infrastructure across multiple regions—warehouse, orchestration, and BI—while shaping warehouse/lakehouse strategy (e.g., Databricks), defining event-driven contracts, and evolving schemas and observability for reliable, end-to-end outcomes.

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FursaFursa
Horizon3.ai
Horizon3.ai
2 days ago

Senior Data Infrastructure Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Design, build, and own the data platform that powers business-critical pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau reporting. Operate core infrastructure across multiple regions—warehouse, orchestration, and BI—while shaping warehouse/lakehouse strategy (e.g., Databricks), defining event-driven contracts, and evolving schemas and observability for reliable, end-to-end outcomes.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.
  • •Build and operate core data infrastructure (data warehouse, orchestration, BI/reporting) deployed across multiple regions.
  • •Evaluate and help shape the warehouse strategy, including lakehouse platforms such as Databricks.
  • •Define and evolve event-driven contracts between producer and consumer teams, covering batch vs. streaming, CDC, reprocessing, and multi-tenant/multi-region trade-offs.
  • •Build observability into pipelines and platform components and drive work end to end across dependent teams.

Pay and Benefits

Salary: USD 202,190 - 237,870 annually
Equity and Bonus:Equity
Perks:Health InsuranceVisionDentalParental LeaveRemote Work

Key Requirements

  • •7+ years of professional experience in data engineering, infrastructure engineering, or backend software engineering.
  • •Strong software engineering craft, writing clean, correct, maintainable code with solid fundamentals.
  • •Deep understanding of distributed systems and data architecture, including batch vs. streaming, CDC, event contracts, multi-tenant/multi-region trade-offs, reprocessing, and observability.
  • •Fluent SQL and strong data-modeling skills, including designing warehouse schemas for the team’s ownership.
  • •Bachelor’s degree in Computer Science (or related) or equivalent practical experience.
Experience:7+ yearsData engineeringInfrastructure engineeringBackend software engineeringDistributed systemsData architecture
Education:Bachelor's
Skills:CollaborationOwnershipCommunicationProblem-solvingAttention to detail
Tech Stack:AWSGlueSparkAmazon RedshiftDatabricksTableauSQLPythonApache AirflowDagster

Company Brief

Horizon3.ai
Builds NodeZero®, an autonomous penetration-testing platform that continuously finds, prioritizes, and verifies exploitable vulnerabilities across on-premises, cloud, and hybrid environments to help organizations reduce security risk.
Industry: Cybersecurity
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2019
Glassdoor
Glassdoor: 4.9
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