{"id":3760141,"url":"https://alion.io/job/cognizant-sr-aws-data-engineer-java-python-generative-ai","title":"Sr. AWS Data Engineer (Java, Python & Generative AI)","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":87,"open_postings":178,"ghost_share":0.011,"stale_share":0.478,"repost_share":0.056,"time_to_fill_p50_days":22,"computed_at":"2026-11-04T06:34:25Z"}},"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":["Charlotte, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":105000,"currency":"USD","period":"year","gross":null,"usd_annual":105000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Glue","optional":false},{"name":"CI/CD","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Rest-Assured","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"JavaScript","optional":true},{"name":"Spark","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-11-04T11:28:21Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-04T18:15:45Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the role\nAs a Senior AWS Data Engineer, you will make an impact by designing and building scalable cloud-based data solutions, modern APIs, and Generative AI capabilities that drive business innovation. You will be a valued member of the Data Engineering team and work collaboratively with architects, application teams, data scientists, product owners, and business stakeholders to deliver enterprise-scale solutions.\nIn this role, you will:\nDesign and develop scalable data pipelines using AWS Glue, PySpark, Amazon S3, Athena, and Redshift.\n\nBuild complex data transformation, integration, and data quality solutions using Python, PySpark, and SQL.\n\nDevelop and support Java-based REST APIs, preferably using Spring Boot, to enable secure and reliable data access.\n\nIntegrate enterprise applications, databases, APIs, and AWS services to support critical business processes.\n\nDevelop Generative AI solutions using AWS Bedrock, large language models (LLMs), agent-based architectures, and tool-calling frameworks.\n\nWork model:\nWe believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2 days a week in a client or Cognizant office in Charlotte, North Carolina. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.\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:\n8+ years of experience in data engineering, software engineering, or related technical roles.\n\nStrong hands-on experience with AWS data services, including AWS Glue, Amazon S3, Athena, and Redshift.\n\n8+ years of experience developing solutions with Python, PySpark, and advanced SQL.\n\n8+ years of experience building RESTful APIs and Java applications, preferably using Spring Boot.\n\nExperience designing and implementing enterprise data integration solutions across cloud and on-premises environments.\n\nExperience developing Generative AI solutions using AWS Bedrock and integrating LLM capabilities into enterprise applications.\n\nExperience implementing production-grade CI/CD, monitoring, logging, testing, security, and operational best practices.\n\nThese will help you stand out:\nExperience building and integrating Model Context Protocol (MCP) servers and tools.\n\nExperience exposing enterprise data, APIs, and business services to AI agents through MCP frameworks.\n\nExperience with agentic AI architectures, tool orchestration, and advanced AI integration patterns.\n\nExperience working in large-scale enterprise cloud environments.\n\nExposure to Angular development and modern front-end technologies.\n\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 29, 2026\nThe annual salary for this position is between $ 90,000 - $ 105,000 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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