{"id":3173213,"url":"https://alion.io/job/cognizant-data-and-machine-learning-engineer","title":"Data and Machine Learning Engineer","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":152,"ghost_share":0.013,"stale_share":0.539,"repost_share":0.039,"time_to_fill_p50_days":21,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mason, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Rest-Assured","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-23T12:16:20Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-29T02:34:23Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the role\nAs a Data and Machine Learning Engineer, you will make an impact by designing, building, and optimizing scalable data platforms and machine learning solutions within a Microsoft Azure environment. You will be a valued member of the Data Engineering team and work collaboratively with data scientists, cloud engineers, architects, and cross-functional stakeholders to deliver secure, reliable, and production-ready solutions.\nIn this role, you will:\nDesign, develop, and maintain scalable data ingestion, transformation, and ETL/ELT pipelines.\nBuild and optimize Azure-based data platforms using Databricks, Synapse Analytics, Data Lake, and related cloud technologies.\nDeploy, operationalize, and support machine learning solutions through CI/CD pipelines and MLOps practices.\nMonitor, troubleshoot, and optimize data and machine learning workloads to ensure performance, reliability, and scalability.\nCollaborate with engineering and data science teams to translate business and technical requirements into production-ready solutions.\nWork model\nAt Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in Mason, Ohio.\nThe working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.\nWhat you need to have to be considered\nProven experience as a Data Engineer, Machine Learning Engineer, or Cloud Platform Engineer.\nStrong hands-on experience with Microsoft Azure data engineering and analytics services.\nProficiency in Python, SQL, and/or Scala.\nExperience developing, supporting, and optimizing production-grade data pipelines.\nHands-on experience with Apache Spark, Databricks, or comparable distributed data processing frameworks.\nFamiliarity with CI/CD, DevOps, and MLOps practices.\nAbility to independently design, develop, troubleshoot, and deliver technical solutions.\nStrong communication and collaboration skills with experience working across cross-functional teams.\nThese will help you stand out:\nExperience with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.\nKnowledge of MLflow, Docker, Kubernetes, or Azure Kubernetes Service (AKS).\nExperience with Delta Lake, Parquet, and modern cloud data architectures.\nFamiliarity with infrastructure as code, orchestration frameworks, and cloud monitoring tools.\nExposure to enterprise data integrations, including SAP Change Data Capture (CDC).\nExperience working in Agile development environments.\nWe're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.\nSalary and Other Compensation:\nApplications will be accepted until November 08, 2026\nThe annual salary for this position is between $ 130,000 - $ 150,000 depending 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:\nMedical/Dental/Vision/Life Insurance\n\nPaid holidays plus Paid Time Off\n\n401(k) plan and contributions\n\nLong-term/Short-term Disability\n\nPaid Parental Leave\n\nEmployee Stock Purchase Plan\n\nDisclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. 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