{"id":111383,"url":"https://alion.io/job/nasdaq-data-engineering-specialist","title":"Lead 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":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":106000,"max":148000,"currency":"CAD","period":"year","gross":null,"usd_annual":103964},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2026-07-21T00:00:00Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-17T03:51:21Z","board_verified":true,"closed_at":null,"days_open":88,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":88},"description":"As a Lead Data Engineer reporting to the Senior Director of Data Engineering, you'll play a critical role in designing, building, and scaling the data infrastructure that powers one of the world's largest data marketplaces - serving hundreds of thousands of professionals across finance, technology, and beyond.\nYou'll thrive in this position if you're analytical, detail-oriented, and passionate about data quality and engineering excellence in a fast-paced, high-impact environment.\nKey Responsibilities\nDesign, implement, and maintain components of our data platform, with a strong focus on data onboarding and automation.\n\nBuild and optimize data ingestion pipelines that clean, transform, and load large volumes of structured and unstructured data.\n\nDevelop automated data processing, transformation, and quality assurance workflows to ensure completeness, accuracy, and reliability.\n\nWrite and manage distributed data pipelines supporting both real-time and batch processing across cloud environments.\n\nChampion a collaborative code review culture that promotes maintainability, best practices, and continuous improvement.\n\nRequired Qualifications\nBachelor's degree in Computer Science, Engineering, or equivalent practical experience.\n\n10+ years of professional experience in software or data engineering.\n\nProficiency in Python (required), with working knowledge of SQL and Spark/PySpark.\nHands-on experience with cloud platforms and data tools, including distributed data pipeline development and orchestration.\n\nStrong written and verbal communication skills in English, with the ability to document clearly and concisely.\n\nPreferred Qualifications\nExperience building and integrating AI tools into data engineering workflows.\nData engineering certification (e.g., Databricks Certified Data Engineering Associate or Professional).\n\nPrior experience in fintech, capital markets, or a regulated data environment.\n\nThis position will be located in Toronto, Canada, 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.\nCome as You Are\nNasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.\nWe are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.\nWe ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.\nWhat We Offer\nWe’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.\nThe base pay range for this role is $106,000 - $148,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. 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