{"id":756309,"url":"https://alion.io/job/appgate-staff-principal-data-engineer","title":"Staff / Principal Data Engineer","company":{"id":669359,"name":"AppGate","domain":"appgate.com","url":"https://alion.io/company/appgate","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":79,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":140000,"max_usd":274000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Flink","optional":false},{"name":"Kubernetes","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-06-12T00:00:00Z","employer_posted_date":"2026-06-12","last_verified_at":"2026-11-01T00:24:33Z","board_verified":true,"closed_at":null,"days_open":142,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":141},"description":"About the Role\nWe are building an AI-native data platform that powers fraud detection and response across 360 Fraud Protection. We are hiring a Staff or Principal Data Engineer to own the data platform and data lake at the heart of that work. You work hands-on and own the domain end-to-end, alongside a small group of senior engineers, data scientists and product partners.\nOwns the unified data platform and data lake that powers detection and response across 360 Fraud Protection.\nEvery detection model and downstream AI capability depends on this data foundation, which makes it one of the highest-leverage engineering roles on the team.\nStronger, broader and more reliable fraud signal directly improves detection accuracy, reduces customer losses and protects brand trust.\nKey Responsibilities\nOwn the design, build and operation of the data lake and ingestion platform end-to-end, from architecture through production reliability.\nBuild low-latency batch and streaming pipelines that ingest signals from internal and external sources, normalize them to a common schema, enrich them with context and serve model-ready data to the layers above.\nMake adding a new data source a routine task rather than a project, so our view of risk keeps widening over time.\nEstablish data quality, freshness, completeness, lineage and observability so the platform is trustworthy enough to automate on top of.\nBuild data pipelines that ground generative AI, including unstructured text and threat intelligence processing, embedding generation, vector storage and retrieval.\nOwn deployment, CI/CD and operational reliability of the platform on Kubernetes.\nPartner with data science, product and architecture to turn the platform into a shared foundation across 360 Fraud Protection.\nRequired Qualifications\nExtensive experience building and operating large-scale data platforms and data lakes, with comfort working at high data volumes.\nDeep, hands-on expertise with Apache Spark, Apache Flink and modern big-data systems.\nProven command of best practices for building and maintaining data pipelines in both batch and streaming modes.\nStrong production engineering skills across the full delivery lifecycle, including Kubernetes and CI/CD tooling, with the ability to ship end-to-end.\nA track record of owning data infrastructure end-to-end with limited supervision.\nPreferred Qualifications\nExperience with generative AI and embedding models, including embedding pipelines, vector databases and retrieval.\nA cybersecurity or threat intelligence background, with hands-on exposure to threat types such as phishing, mobile threats and malware.\nFamiliarity with transaction data and transaction fraud signals.\nCompensation\nBase salary range: $180 - $270 \nBonus / commission: 15%\nTravel\nMinimal travel expected. This is an on-site role based in New York City, with 3-4 days per week in the office.\nAppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate’s policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. 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