{"id":4275990,"url":"https://alion.io/job/nexus-cognitive-technologies-data-engineering-intern","title":"Data Engineering Intern","company":{"id":2463,"name":"Nexus Cognitive Technologies","domain":"nx1.io","url":"https://alion.io/company/nexus-cognitive-technologies","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":84,"open_postings":7,"ghost_share":0,"stale_share":0.429,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, 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":".NET","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false},{"name":"C#","optional":true}],"status":"live","first_seen_at":"2026-11-13T16:36:39Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T18:59:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Nexus\nYou don't have an AI story if you don't have your data story. That's where NexusOne comes in.\nWe're the converged data platform for the AI era - composable by design, built on an open-source foundation, and AI-native from the ground up. One identity, one governance envelope, one operational layer across every mainframe, data lake, warehouse, and streaming system in the business. For the first time, enterprises can bring their existing stack along instead of rebuilding it - and still give AI agents full context across the estate.\nWhat we stand for is simple: sovereign data, interoperable systems, decoupled intelligence - delivered the way modern software should be. No rip-and-replace. No multi-year transformation. Our CEO Anu Jain puts it well: we turn the \"ball of yarn\" of data integrations into a unified engine - less like assembling car parts, more like buying the car ready to drive. 85+ open-source tools pre-integrated. AI-native automations that deploy and self-heal the stack without human toil. Forward-deployed engineers who build shoulder-to-shoulder with customer teams - hands on keyboards, not just on decks.\nIt's working, and fast. We're tripling revenue year over year, backed by Insight Partners, and running in production in environments most vendors won't touch. Our platform processes credit risk data for 90%+ of US small businesses - 40M+ - every month. Intent signals for 300M+ subscribers monthly for Africa's largest telco. The data and AI layer for a Top 3 US bank.\nWe're 100+ people across the US and India, headquartered in Atlanta. We think big, move fast, and don't mistake activity for progress. We hire people who'd rather ship the rocket than brief someone on it.\nCheck out this podcast of Anu talking about our solution here: https://www.youtube.com/watch?v=g8g50sv5GhQ\nTHE OPPORTUNITY:\nWe’re looking for Data Engineering Interns to join our product and delivery team in Atlanta for Summer 2027. You should be excited about working where modern data engineering meets AI. This is not a shadowing internship. You’ll write real code, build real pipelines, and contribute to features and integrations that run in enterprise production environments, including agentic workflows that put data to work on its own.\nYou’ll be paired with senior engineers and solution architects, own a defined project for the summer, and present your work to the team at the end. If you’re curious, learn quickly, and want to see your code running at scale, this is the right place to spend your summer.\nWHAT YOU WILL DO:\nHelp onboard enterprise customer workloads to NexusOne, including data ingestion, transformation, analytics, and AI ops\n\nBuild and test product features with a focus on performance, quality, and scale\n\nContribute to agentic data workflows: pipelines and integrations that let AI agents act on enterprise data\n\nWork hands-on with modern data technologies including Kubernetes, Apache Spark, dbt, Trino, Airflow, and Iceberg\n\nWrite Python, Java, or Scala to implement features and modernize customer workloads\n\nAnalyze datasets to find trends, anomalies, and data quality issues\n\nTroubleshoot and debug data issues alongside senior engineers\n\nTake part in team standups, code reviews, and proof-of-concept evaluations\n\nWHO YOU ARE:\nCurrently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, graduating between December 2027 and June 2029\n\nFoundational understanding of data structures, algorithms, and coding best practices (flow control, inheritance, separation of concerns, error handling)\n\nCoursework or project experience with Python, Java/Scala, and/or .NET languages\n\nFamiliarity with backend concepts including object-oriented design, ETL, and REST APIs\n\nExperience with SQL and a database system such as PostgreSQL, MySQL, SQL Server, or Snowflake\n\nReal curiosity about AI, agentic systems, and how data infrastructure enables intelligent automation\n\nStrong problem-solving skills, attention to detail, and a self-directed learning mindset\n\nClear communicator who works well on a distributed team\n\nPreferred: exposure to cloud platforms (AWS, GCP, or Azure), open-source data projects, or personal and hackathon projects you can show us\n\nWhy You’ll Love Working at Nexus\nAt Nexus, we value people who want to grow - and support each other while doing so.\nYou can expect:\nA collaborative team culture built on curiosity and respect\n\nChallenging work where your contributions clearly matter\n\nA leadership team that invests in learning and development\n\nThe opportunity to work at the intersection of cloud, data, and AI innovation\n\nReady to Apply?\nIf this role sounds like a great fit - or even close to one - we’d love to hear from you. 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