{"id":3729089,"url":"https://alion.io/job/epam-systems-senior-data-engineer","title":"Senior Data Engineer","company":{"id":92,"name":"EPAM Systems","domain":"epam.com","url":"https://alion.io/company/epam-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"C","score":57,"open_postings":76,"ghost_share":0.684,"stale_share":0,"repost_share":0.118,"time_to_fill_p50_days":31,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vilnius, Lithuania"],"countries":["LT"],"hiring_countries":["LT"],"hiring_countries_total":1,"salary":{"min":3800,"max":5700,"currency":"EUR","period":"month","gross":true,"usd_annual":76596},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-04T02:36:16Z","employer_posted_date":null,"last_verified_at":"2026-11-04T02:36:16Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\nWe are seeking a Senior Data Engineer to join our team and take a leading role in designing, building and evolving enterprise-scale data solutions. This is a hands-on engineering position that blends deep technical expertise with architectural thinking and technical leadership. You will work with modern data engineering practices, contribute to our Data Lakehouse platforms and help shape the future of our cloud-native data ecosystem.\n\nFeel free to work remotely from anywhere across Lithuania or connect with colleagues at our Vilnius and Kaunas offices.\n\nDesign, build and evolve enterprise-scale data solutions\n\nTake a leading role in shaping the architecture of cloud-native data platforms\n\nContribute to the development and growth of Data Lakehouse platforms\n\nDesign, implement and maintain robust and reliable data pipelines\n\nDevelop ETL processes for large-scale data processing and automation\n\nApply modern data engineering practices across the data ecosystem\n\nProvide technical leadership and architectural guidance within the team\n\nCollaborate with stakeholders to deliver scalable enterprise data solutions\n\nRequirements\n\n3+ years of experience in data engineering within enterprise environments\n\nProficiency in advanced SQL with solid understanding of analytical and dimensional data modeling\n\nHands-on experience with Data Lakehouse or modern data platform concepts including cloud object storage, open table formats and distributed processing\n\nExpertise in AWS data services such as EMR, Glue and Athena, including S3-based data lakes\n\nStrong experience with Apache Spark for large-scale data processing\n\nSolid Python skills for ETL development, data processing and automation\n\nBackground in designing, implementing and maintaining robust and reliable data pipelines\n\nStrong analytical, problem-solving and system-level thinking skills\n\nFluent English in spoken and written communication\n\nNice to have\n\nFamiliarity with Oracle or Sybase data warehouses\n\nCompany offers\n\nEngineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years\n\nAdvanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies\n\nWorld-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact\n\nProfessional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices\n\nGenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys\n\nEntrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life\n\nHybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas\n\nOther Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and 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