{"id":3714576,"url":"https://alion.io/job/odyssey-charter-high-school-data-engineer","title":"Data Engineer","company":{"id":4506069,"name":"Odyssey Charter High School","domain":"odysseyk12.org","url":"https://alion.io/company/odyssey-charter-high-school","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-11-04T00:06:03Z","employer_posted_date":null,"last_verified_at":"2026-11-04T06:26:20Z","board_verified":false,"closed_at":"2026-11-04T06:26:20Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Odyssey Charter High School is hiring a Data Engineer to build and maintain data infrastructure supporting analytics and business intelligence. The role integrates data from multiple sources, implements ETL processes, and works with stakeholders to optimize data workflows and ensure reliable, secure, and efficient systems.\n\nResponsibilities\nDesign, develop, and maintain scalable data pipelines and architectures to support analytics and business intelligence initiatives\nIntegrate data from multiple sources, ensuring consistency, reliability, and data quality\nCollaborate with data analysts, scientists, and other stakeholders to define data requirements and optimize data workflows\nImplement ETL (Extract, Transform, Load) processes for structured and unstructured data\nMonitor and troubleshoot data systems to ensure performance, security, and efficiency\nDocument data processes, system configurations, and best practices\n\nSkills\nBachelor's degree in Computer Science, Data Engineering, Information Systems, or related field\nProven experience with SQL, Python, and data pipeline frameworks\nStrong understanding of data warehousing concepts and cloud platforms (e.g., AWS, Azure, or Google Cloud)\nExcellent problem-solving, analytical, and communication skills\nAbility to work both independently and collaboratively in a fast-paced environment\nExperience with big data technologies such as Spark, Hadoop, or Kafka is an advantage\n\nBenefits\nPerformance-based incentives\nOpportunities for professional development and technical training\nInnovative and collaborative work culture\nFlexible or hybrid working arrangements\n\nCompany Overview\n It was founded in undefined, and is headquartered in Las Vegas, Nevada, US, with a workforce of 2-10 employees. 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