{"id":138491,"url":"https://alion.io/job/horizon3-senior-data-infrastructure-engineer","title":"Senior/Staff Data Engineer","company":{"id":3088,"name":"Horizon3","domain":"horizon3.ai","url":"https://alion.io/company/horizon3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":76,"open_postings":17,"ghost_share":0,"stale_share":0.941,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":199000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS Glue","optional":false},{"name":"Databricks","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Airflow","optional":true},{"name":"Dagster","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-08-27T16:58:31Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-19T17:37:20Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"Get to Know Us\nHorizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs.\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, \"checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.\nWe are seeking a Senior or Staff Data Engineer to design, build, and own the data platform underneath our business-critical pipelines. Today the team supports account provisioning, product analytics, and the pipelines feeding our warehouse and Tableau reporting. You will help expand this into a globally deployed data platform spanning the warehouse, orchestration, and BI across multiple regions\nYou will:\nDesign, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.\n\nBuild and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions.\n\nHelp evaluate and shape our warehouse strategy, including lakehouse platforms such as Databricks.\n\nDefine and evolve batch or event-driven contracts between producer and consumer teams, reasoning through batch vs. streaming, CDC, reprocessing, and multi-tenant/multi-region trade-offs.\n\nDesign and evolve warehouse schemas and data models.\n\nBuild observability into pipelines and platform components.\n\nDrive work across producer and consumer teams, communicate clearly, and own outcomes end to end.\n\nWhat You’ll Bring\nStrong software engineering craft: clean, correct, maintainable code with solid data-structure and problem-solving fundamentals.\n\nDeep understanding of distributed systems and data architecture: pipeline and platform design, batch vs. streaming, CDC, event contracts, multi-tenant and multi-region trade-offs, reprocessing, and observability.\n\nFluent SQL and strong data-modeling skills, including designing schemas for a warehouse your team owns.\n\nExperience owning production data infrastructure end to end.\n\nStrong collaboration and ownership across dependent teams.\n\n7+ years of professional experience in data engineering, infrastructure engineering, or backend software engineering.\n\nBachelor’s degree in Computer Science or a related field, or equivalent practical experience.\n\nRequired Tech Stack Experience\nExperience with cloud-based data platforms and distributed data processing (e.g., AWS Glue, Databricks, Snowflake, or Spark-based pipelines)\n\nTableau or a comparable BI platform.\n\nSQL and Python.\n\nWorkflow orchestration tooling such as Apache Airflow, Dagster or similar\n\nPerks of Horizon3\nInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.\n\nGrowth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.\n\nInnovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.\n\nHybrid & Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office, where some roles require regular in-office presence.\n\nCompetitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave.\n\nCompensation and Values\nAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.\nIn accordance with various State’s transparency regulations, we provide the following salary range information for this position:\nBase salary range: $199,000 - $270,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.\n\nAdditional compensation: All full-time roles are eligible for an equity package in the form of stock options.\n\nYou Belong Here\nHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.\nOur commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.\nWe welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.\nOther Duties\nPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. 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