{"id":58728,"url":"https://alion.io/job/nasdaq-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2948,"name":"Nasdaq","domain":"nasdaq.com","url":"https://alion.io/company/nasdaq","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":30,"ghost_share":0,"stale_share":0.633,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vilnius, Lithuania"],"countries":["LT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":113000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-08-14T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-17T03:51:21Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"As a Senior Data Engineer reporting to AVP - Product Strategy, you'll play a critical role in strengthening Nasdaq's Global Connectivity Services (GCS) data capabilities - improving data quality, building scalable pipelines, and enabling better commercial and operational decision-making across teams in New York, Stockholm, and Vilnius.\nYou'll thrive in this role if you're analytical, self-driven, and passionate about turning complex data into actionable insight in a fast-paced, globally connected environment.\nKey Responsibilities\nBuild, maintain, and improve data pipelines, models, and datasets that support GCS reporting, billing reconciliation, and operational planning.\n\nAnalyze customer behavior, product usage, and service trends to deliver insights that drive commercial opportunities for Sales and Product teams.\n\nLead billing and inventory reconciliation across multiple internal and external data sources, including discrepancy reporting and alerting.\n\nCreate trusted, well-governed data foundations that enable advanced analytics, automation, and future AI-driven use cases.\n\nCollaborate with Product, Sales, Finance, and Data Center Operations to translate business needs into scalable, practical data solutions.\n\nRequired Qualifications\nBachelor's degree in Computer Science, Business, or a related field, or equivalent practical experience.\n\nProven experience in data engineering, analytics engineering, or a similar data-focused role.\n\nStrong SQL skills with experience building structured data transformations and automated workflows.\n\nHands-on experience with modern data and analytics tools such as dbt, QuickSight, Power BI, or similar platforms.\n\nExperience working with data from multiple systems and reconciling inconsistent or incomplete data sources.\n\nClear communicator with the ability to work effectively with both technical and non-technical stakeholders across time zones.\n\nPreferred Qualifications\nExperience with AWS-based data platforms and related tooling.\n\nBackground in billing, inventory, compliance, or operational control processes.\n\nExposure to AI, automation, or data foundation work supporting future AI use cases.\n\nThis position is located in Vilnius and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.\nBenefits & Rewards\nWe offer a competitive, well-rounded rewards package designed to support the financial, physical, and emotional well-being of our employees and their families (where applicable).\nThe base pay for this role is 4000- 5000 EUR (gross). The actual pay depends on factors like your skills, experience, qualifications, and location. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable.\nWe utilize a structured job architecture and career framework to ensure growth opportunities are transparent, fair, and accessible to all employees. The pay range you see reflects the full salary band for this job level, including room for progression over time.\nFor more information, visitNasdaq Benefits & Rewards Career Page.\nIndividuals applying for or occupying this position must have no previous unspent convictions for criminal offences under the Criminal Code of the Republic of Lithuania, with the exception of offences solely related to minor road traffic violations.\nCome as You Are\nNasdaq is an equal opportunity employer. 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