{"id":4277591,"url":"https://alion.io/job/ntt-data-senior-data-engineer-6","title":"Senior Data Engineer","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":92,"open_postings":108,"ghost_share":0.009,"stale_share":0.491,"repost_share":0.028,"time_to_fill_p50_days":19,"computed_at":"2026-11-12T10:38:37Z"}},"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":["Toronto, Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":{"min":88528,"max":110660,"currency":"CAD","period":"year","gross":null,"usd_annual":77586},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Delta Lake","optional":true},{"name":"ETL/ELT","optional":true}],"status":"live","first_seen_at":"2026-11-13T12:28:44Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T19:25:49Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Req ID: 397702\nNTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.\nWe are currently seeking a Senior Data Engineer to join our team in Toronto, Ontario (CA-ON), Canada (CA).\nSeeking a Senior Data Engineer with strong hands-on expertise in Databricks, Azure data services, Python/PySpark and SQL.\nDay to Day/ Job Function\nThe role will be responsible for designing, building and optimizing scalable enterprise data solutions, including data ingestion, transformation, integration and lakehouse pipelines.\nRequires a strong hands-on engineer who can work independently, collaborate with architects and business teams, and deliver in a fast-paced environment.\nRequired Qualifications:\n10+ years Senior-level experience in data engineering and enterprise data platforms.\n10+ years Experience working with high-volume enterprise datasets and performance tuning/optimization.\n10+ years Experience with Git, Azure DevOps/GitHub and CI/CD practices for data engineering.\n8+ years Strong hands-on experience with Databricks, Apache Spark/PySpark, Python and SQL.\n8+ years Experience with Azure Data Lake Storage (ADLS), Azure Data Factory and related Azure data services\nPreferred Qualifications\nKnowledge of data security, governance, RBAC, encryption and data lineage.\nStrong knowledge of Delta Lake, Unity Catalog and Databricks Workflows.\nStrong understanding of ETL/ELT, data modeling, data integration and data quality concepts.\nKnowledge of data security, governance, RBAC, encryption and data lineage.\nAWS data engineering experience, including services such as S3, Glue, Lambda or Redshift, is a plus.\nStrong communication, problem-solving and documentation skills, with the ability to operate independently with minimal guidance\nEducation:\nBachelor's degree in Computer Science or equivalent real-world experience\nNTT DATA provides a reasonable range of compensation for Canada-based positions. The starting pay range for this role is $88,528.00 to $110,660.00. This range reflects the minimum and maximum target compensation for the position across all Canada locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered is temporary, the position will not be eligible for incentive compensation. This position is eligible for the Company’s comprehensive benefits program in Canada, including customizable health and dental coverage with telemedicine, wellness credits, and gym discounts. Employees receive income protection through life, disability, and optional insurance plans, plus access to a 24/7 Employee Assistance Program. Additional perks include retirement savings, a remote work allowance for eligible employees, and various discounts and travel insurance.\n#LI-NorthAmerica\nAbout NTT DATA\nNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.\nWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.\nNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. 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