{"id":1621282,"url":"https://alion.io/job/exl-palantir-data-engineer","title":"Palantir Data Engineer","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":54,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-30T10:13:05Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-05T02:31:20Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"We are seeking a seasoned Data Engineer with 5-10 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry/ AIP & Palantir Ontology.\nThe ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir Foundry. Experience in the insurance domain is a plus.\nKey Requirements\n5-10 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms.\n2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications.\nExperience building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript.\nProficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript.\nStrong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).\nDeep understanding of microservices architecture and distributed systems.\nFamiliarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines.\nExperience with big data technologies like Snowflake.\nStrong problem-solving and performance optimization skills.\nExposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes.\nExperience working in agile environments delivering complex data engineering solutions.\nPalantir Foundry certification or demonstrated project experience is highly preferred.\nPrior experience in the Insurance domain is highly desirable.\nKey Requirements\n5+ years of work experience with Data Engineering\n2+ years of work experience with Palantir\n3+ years of work experience with Python (Programming Language)\nKey Requirements\n5-10 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms.\n2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications.\nExperience building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript.\nProficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript.\nStrong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).\nDeep understanding of microservices architecture and distributed systems.\nFamiliarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines.\nExperience with big data technologies like Snowflake.\nStrong problem-solving and performance optimization skills.\nExposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes.\nExperience working in agile environments delivering complex data engineering solutions.\nPalantir Foundry certification or demonstrated project experience is highly preferred.\nPrior experience in the Insurance domain is highly desirable.\nKey Requirements\n5+ years of work experience with Data Engineering\n2+ years of work experience with Palantir\n3+ years of work experience with Python (Programming Language)","description_format":"text","description_chars":3376,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-01T20:44:33Z"}],"visa":[],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.589,"p_room":0.9,"age_days":3,"expected_fill_days":9,"reasons":["conf:2","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/exl-palantir-data-engineer","json_url":"https://alion.io/job/exl-palantir-data-engineer.json","meta":{"generated_at":"2026-10-05T03:03:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4183,"day_limit":5000,"remaining_today":817,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}