{"id":2130704,"url":"https://alion.io/job/cognizant-lead-data-engineer-azure-databricks-and-pyspark","title":"Lead Data Engineer | Azure Databricks and PySpark","company":{"id":85,"name":"Cognizant","domain":"cognizant.com","url":"https://alion.io/company/cognizant","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cognizant Careers","truth_index":{"grade":"A","score":90,"open_postings":159,"ghost_share":0.013,"stale_share":0.535,"repost_share":0.038,"time_to_fill_p50_days":21,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Las Vegas, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":96000,"max_usd":168000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":127},"experience_years_min":13,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-05T09:28:52Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-29T20:23:09Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"Ready to build data platforms that actually make an impact?\nWe’re looking for a hands-on Lead Data Engineer who loves solving complex data problems and building scalable solutions with Azure Databricks, Spark, and PySpark.\nYou’ll lead the design and development of high-performance data pipelines, help shape engineering best practices, and work with teams across the business to turn data into meaningful insights.\nWhat You’ll Do\nDesign and build scalable data pipelines using Azure Databricks, Spark, and PySpark\nLead end-to-end data engineering solutions from design through production\nOptimize Spark workloads, clusters, and jobs for performance, reliability, and cost\nIntegrate data from multiple sources into trusted, analytics-ready datasets\nBuild strong data quality, monitoring, and validation into every pipeline\nEstablish coding standards, reusable frameworks, and engineering best practices\nPartner with architects, product teams, and business stakeholders to solve real-world data challenges\nMentor engineers through design reviews, code reviews, and technical guidance\nExplore new Databricks and Spark capabilities and bring the best ideas into production\nWhat We’re Looking For --> Must have 13+ years of total experience with DW space.\nStrong hands-on experience with Azure Databricks-- 5 + years-- Must have to be considered\nDeep expertise in Spark / PySpark, Python, and SQL\nExperience building large-scale ETL/ELT data pipelines\nStrong understanding of data modeling and distributed data processing\nExperience with performance tuning and Databricks cluster optimization\nKnowledge of Delta Lake, ADLS, ADF, Unity Catalog, CI/CD, and Azure DevOps is a plus\nStrong communication skills and the ability to lead and mentor engineering teams\nBonus Points\nExperience working with hospitality, travel, booking, customer, or operational data.\nIf you enjoy building smart, scalable data solutions and want to see your work directly influence business and customer experiences, this could be a great fit.\nExempt Roles (up to AD Level)\nNote: Compensation range should extend from the minimum to P75, consistent with the job family and level.\nFor all remote positions and those based in pay transparency locations, include this text in the External Description:\nSalary and Other Compensation:\nThe annual salary for this position is between $120-135Kdepending on experience and other qualifications of the successful candidate.\nThis position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.\nBenefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:\n· Medical/Dental/Vision/Life Insurance\n· Paid holidays plus Paid Time Off\n· 401(k) plan and contributions\n· Long-term/Short-term Disability\n· Paid Parental Leave\n· Employee Stock Purchase Plan\nDisclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. 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