Senior Data Infrastructure Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $202.2k - $237.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Horizon3.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

Horizon3. ai is a cybersecurity company that specializes in autonomous penetration testing through its platform, NodeZero. The company's mission is to proactively identify and address attack vectors before they can be exploited, allowing organizations to continuously assess their security posture across various environments including cloud, IoT, and on-premises systems. Founded by veterans from the US Special Operations and National Security sectors, Horizon3. ai offers a self-service SaaS solution that provides organizations with insights into their security vulnerabilities without requiring persistent or credentialed agents.

📋 Description

• Design, build, and maintain business-critical data pipelines • Develop data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau • Build and operate the data warehouse, orchestration, and BI/reporting platform across multiple regions • Help evaluate and shape warehouse strategy, including lakehouse platforms such as Databricks • Define and evolve event-driven contracts between producer and consumer teams • Reason through batch versus streaming, CDC, reprocessing, and multi-tenant/multi-region trade-offs • Design and evolve warehouse schemas and data models • Build observability into pipelines and platform components • Drive work across producer and consumer teams • Communicate clearly and own outcomes end to end

🎯 Requirements

• 7+ years of professional experience in data engineering, infrastructure engineering, or backend software engineering • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience • Strong software engineering craft, including clean, correct, maintainable code • Solid data-structure and problem-solving fundamentals • Deep understanding of distributed systems and data architecture • Experience with pipeline and platform design, batch versus streaming, CDC, event contracts, multi-tenant and multi-region trade-offs, reprocessing, and observability • Fluent SQL and strong data-modeling skills • Experience owning production data infrastructure end to end • Strong collaboration and ownership across dependent teams • Experience with AWS data stack, including Glue and Spark • Experience with cloud data warehouse or lakehouse platforms such as Amazon Redshift or Databricks • Experience with Tableau or a comparable BI platform • Experience with SQL and Python • Experience with workflow orchestration tooling such as Apache Airflow or Dagster • Legally authorized to work in the United States • Must indicate whether employment visa sponsorship is required

🏖️ Benefits

• Equity package in the form of stock options for all full-time roles • Health, vision, and dental insurance for you and your family • Flexible vacation policy • Generous parental leave • Remote and hybrid work models depending on role and location • Career development opportunities • Inclusive, collaborative, and innovative work culture