{"id":2887651,"url":"https://alion.io/job/palantir-technologies-software-engineer-internship-query-engines-2","title":"Software Engineer, Internship - Query Engines","company":{"id":24,"name":"Palantir Technologies","domain":"palantir.com","url":"https://alion.io/company/palantir","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"C","score":61,"open_postings":235,"ghost_share":0.574,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":116,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"intern","employment_type":"internship","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"Rust","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"GitHub","optional":true},{"name":"Gradle","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-19T23:47:38Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-20T13:39:21Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":0},"description":"The Role\nWe are a software engineering team applying open-source data technologies to some of the world's hardest and most important problems. We build the data processing infrastructure that underpins Palantir Foundry, supporting applications that help hospitals care for more patients, help clinical teams coordinate timely diagnoses, and keep essential supplies moving through global disruption.\nYou will work deep inside the systems that make this possible: how computations are represented, how query plans are optimized, how operators execute, and how data is read and written efficiently. We build on and extend Apache Spark, Apache DataFusion, and Apache Iceberg, bringing advances in open-source engines and table formats into the demanding environments our customers operate in. Our work serves many products and workloads across Foundry, including no-code pipelines, interactive analysis, and the processing that keeps the Ontology up to date.\nWorking alongside experienced engineers, you will take on real problems in our production systems. That could mean writing a new planning rule, adding a capability to a native execution engine, or making large tables faster to scan. You will see your work through design, code review, testing, and release. Correctness, compatibility, and predictable performance are central to everything we build, and you will learn how to deliver all three.\nJoin us if you want to learn how modern data systems work from the inside and apply that knowledge to consequential problems.\nTechnologies We Use\nJava, Scala, Rust, and Python\nApache Spark, Apache DataFusion, Apache Comet, and Velox for data processing and query execution\nApache Iceberg for table management and catalog interoperability\nApache Arrow and Apache Parquet for in-memory data processing and columnar storage\nGradle and Cargo for builds, and GitHub for collaboration\nYou do not need prior experience with these technologies. We expect you to learn them here.\nWhat We Value\nCuriosity about how data systems work, from query optimizers and execution operators to file formats and distributed processing\nA high bar for correctness and a willingness to dig until you understand why something behaves the way it does\nComfort following a problem across languages, services, and layers of the stack\nA practical approach to performance, grounded in measurement rather than intuition\nEagerness to learn, ask questions, and incorporate feedback\nInterest in applying deep systems engineering to real-world problems, with empathy for the people who depend on our software\nWhat We Require\nCurrently pursuing or recently completed a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Software Engineering, Physics, or a similar field, or equivalent practical experience\nProficiency in at least one language such as Java, Rust, Scala, C++, or C\nStrong foundations in algorithms, data structures, and concurrency\nStrong written and verbal communication skills\nCoursework or projects in databases, compilers, operating systems, or distributed systems\nContributions to open-source projects\nMust be planning on graduating in 2028. 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