Senior Data Engineer

🕒 October 16

🇺🇸 United States – Remote

💵 $199.8k - $235k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.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.

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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, including 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 the warehouse strategy, including lakehouse platforms such as Databricks • Define and evolve batch or 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 • Expand the data platform for Federal workloads and the product portfolio

🎯 Requirements

• Strong software engineering skills, including clean, correct, maintainable code and solid data-structure and problem-solving fundamentals • Deep understanding of distributed systems and data architecture • Fluent SQL and strong data-modeling skills • Experience owning production data infrastructure end to end • Experience working within US Government enclaves from FedRAMP through TS cloud environments • 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 • Experience with cloud-based data platforms and distributed data processing, such as AWS Glue, Databricks, Snowflake, or Spark-based pipelines • Experience with Tableau or a comparable BI platform • SQL and Python proficiency • Experience with workflow orchestration tools such as Apache Airflow, Dagster, or similar • US citizenship • Ability to gain and maintain a TS Security clearance

🏖️ 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 • Career development opportunities • Inclusive and collaborative culture • Remote and hybrid work models depending on role and location

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