{"id":1472622,"url":"https://alion.io/job/sni-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":1011,"name":"SNI","domain":"sniconsulting.net","url":"https://alion.io/company/sni","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":{"min":120,"max":130,"currency":"PLN","period":"hour","gross":null,"usd_annual":68000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T16:00:11Z","employer_posted_date":null,"last_verified_at":"2026-09-29T16:00:11Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.\nResponsibilities:\nReverse-engineer and analyze existing behavioural data pipelines (DF2 and BAG), mapping data flows, transformation logic, schemas, and dependencies.\n\nEvaluate new data sources for schema compatibility, quality risks, mapping gaps, and performance benchmarks.\n\nDocument schema equivalencies, technical comparisons, and data quality mitigation strategies.\n\nPartner with design teams to produce architectural specs for a unified, scalable future-state pipeline.\n\nEnsure data accuracy, output consistency, and system performance during migration planning.\n\nSkills:\n5+ years of data engineering experience focused on ETL/ELT pipelines, data mapping, and reverse engineering.\n\nAdvanced SQL and Python (or Scala) skills for data profiling and transformation analysis.\n\nCloud & Big Data platforms: AWS (S3, Redshift) and Apache Spark for large-scale data processing.\n\nBehavioral data architectures, event-driven ingestion, and complex schema mapping.\n\nTechnical documentation and ability to deliver independently under tight deadlines.\n\nFollow us on Linkedin! http://linkedin.com/company/snisourcing","description_format":"text","description_chars":1264,"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":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Enterprise Apps Implementation Partners","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-09-29T17:05:32Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":30,"reasons":["seen:1","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":68000,"is_top_pay":false},"html_url":"https://alion.io/job/sni-senior-data-engineer-2","json_url":"https://alion.io/job/sni-senior-data-engineer-2.json","meta":{"generated_at":"2026-10-01T21:49:00Z","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":4400,"day_limit":5000,"remaining_today":600,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}