{"id":3839011,"url":"https://alion.io/job/node-digital-data-engineer","title":"Data Engineer","company":{"id":5581,"name":"Node.Digital","domain":"node.digital","url":"https://alion.io/company/node-digital","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Herndon, 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":"Agile","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-05T22:00:10Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T01:19:54Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Data Engineer\nLocation: Herndon, VA\nPreferred: US Citizen\n\nJob Description\n Node is currently seeking a motivated, career and customer-oriented Senior Data Engineer /Data Architect to begin an exciting and challenging career with our large Enterprise Application Support Program on one of our project delivery teams.\nJob Responsibilities\n· Design and implement effective database structures and models to store, retrieve, and analyze data.\n· Develop, construct, test, and maintain scalable data pipelines to collect, process, and integrate data from various sources.\n· Implement ETL (Extract, Transform, Load) processes to ensure data consistency and quality.\n· Integrate data from different sources, ensuring consistency, reliability, and accuracy.\n· Develop data APIs and automation scripts to streamline data integration and workflows.\n· Monitor and optimize database and data processing system performance.\n· Conduct performance tuning and troubleshoot data issues.\nRequirements\nRequirement:\n· Bachelor's degree in Computer Science, Management Information Systems, or relevant discipline (4 years of equivalent experience)\n· 8+ years' experience with:\no Proven experience as a Data Architect, Data Engineer, or in a similar role.\no Extensive experience in designing and implementing data architectures.\no Hands-on experience in developing and managing data pipelines and ETL processes.\no Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server).\no Experience with big data technologies (e.g., Hadoop, Spark) and ETL tools.\no Strong programming skills in languages such as Python, Java, or Scala.\nCompany Overview:\nNode.Digital is an independent Digital Automation & Cognitive Engineering company that integrates best-of-breed technologies to accelerate business impact.\nOur Core Values help us in our mission. 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