{"id":1602778,"url":"https://alion.io/job/susquehanna-international-group-senior-data-engineer","title":"Senior Data Engineer","company":{"id":4917,"name":"Susquehanna International Group","domain":"sig.com","url":"https://alion.io/company/sig","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"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":["Philadelphia, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":138000,"max_usd":263000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1251},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Databricks","optional":false},{"name":"Polars","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-10-01T19:35:46Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-25T18:49:58Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"Overview\nWe are hiring a Data Engineer to join our Data Technologies team. This team partners with middle-and back-office application teams to design, build, and support next-generation data platforms and pipelines that ingest, process, and transform large-scale data into business-ready datasets. We are looking for an experienced data engineer who is passionate about modern data architectures, distributed data processing, and scalable analytics platforms.\nIn this role, you will:\nDesign, develop, and support scalable data pipelines and data products for middle- and back-office systems\nArchitect and implement modern data platform solutions \nBuild and optimize large-scale batch and streaming data processing workflows\nCollaborate with application teams to model, transform, and deliver data solutions that meet business requirements\nMonitor, troubleshoot, and optimize data processing environments to ensure reliability, scalability, and performance\nWhat we’re looking for\n5+ years of experience in data engineering, data platforms, or large-scale distributed data processing\nStrong experience with modern data engineering technologies such as Spark, Databricks, Trino, Iceberg, Snowflake, Parquet, Apache Arrow, Polars, and/or Kafka\nStrong Python development skills 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