{"id":2827816,"url":"https://alion.io/job/dassault-systemes-staff-data-engineer-data-nexus","title":"Staff Data Engineer - Data Nexus","company":{"id":144,"name":"Dassault Systemes","domain":"3ds.com","url":"https://alion.io/company/dassault-systemes","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":81,"open_postings":25,"ghost_share":0,"stale_share":0.76,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":135000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Anomaly Detection","optional":true},{"name":"Embeddings","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Kubernetes","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true},{"name":"Semantic Search","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-15T04:10:38Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-22T19:17:22Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Staff Data Engineer - Data Nexus\nUnited States, NY, New York\nRegular\nApply\nKey Job Details\nLocation:\nUnited States, NY, New York\nJob type:\nRegular\nProduct:\nMEDIDATA\nExperience level:\n8 to 10 years\nPosted on:\n10/15/2026\nRef ID:\n550518\nShare Job\nLocation: This is a hybrid remote/in-office role.\nMedidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy.\nAbout our Company:\nMedidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at www.medidata.com. Listen to our latest podcast, from Dreamers to Disruptors, and follow us at @Medidata.\nOur Team\nThe Data Nexus team within Medidata Study Experience builds the modern data foundation that connects clinical applications, customer data, analytics, and enterprise integrations.\nOur mission is to make clinical operational data easier to ingest, migrate, transform, govern, and consume at scale. We build capabilities spanning large-scale customer and third-party study migrations, near-real-time CDC and streaming pipelines, reusable data products, analytics and reporting, and cross-product data integrations.\nWe are modernizing our platform around cloud-native and lakehouse architectures using technologies including AWS, Snowflake, dbt, Airflow, Apache Flink, Amazon S3, AWS Glue, and Apache Iceberg. We treat data as a product and build trusted, reusable capabilities that power Medidata applications, customer integrations, analytics, and emerging AI/ML experiences.\nWho you are:\nAs a Staff Data Engineer, you will be a hands-on technical leader responsible for solving complex data engineering problems, influencing architecture and technical direction, driving strategic initiatives across teams, and raising engineering standards across Data Nexus.\nWhat You'll Do\nLead the architecture, design, and implementation of scalable data ingestion, migration, CDC, streaming, and ETL/ELT solutions.\nProvide technical leadership for large-scale customer and third-party clinical study data migrations.\nDesign and build reusable data products and services supporting Medidata applications, analytics, reporting, AI/ML, and customer integrations.\nDrive modernization across cloud data warehousing, workflow orchestration, streaming, and lakehouse architectures.\nDesign scalable data models, transformation frameworks, APIs, and integration patterns for complex operational and analytical workloads.\nImprove data quality, observability, performance, reliability, security, and cost efficiency across the platform.\nLead technical design and architecture discussions and collaborate across Product, Engineering, QA, Architecture, and other teams to deliver complex initiatives.\nMentor engineers, review designs and code, and establish engineering patterns and best practices across the team.\nLeverage AI-assisted engineering tools such as GitHub Copilot, Claude Code, Cursor, and similar technologies to accelerate development, refactoring, testing, troubleshooting, and documentation.\nIdentify opportunities to apply Generative AI and intelligent data experiences to improve how users discover, understand, and interact with clinical data.\nQualifications\nBachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical experience.\n8+ years of professional software or data engineering experience, including experience designing and operating large-scale production data systems.\nStrong understanding of modern data engineering patterns including ETL/ELT, Change Data Capture, streaming, data modeling, data migration, and distributed data processing.\nStrong software engineering fundamentals with proficiency in SQL and experience with languages such as Python, Java, Scala, or equivalent.\nExperience with modern cloud data platforms, transformation frameworks, and workflow orchestration technologies such as Snowflake, dbt, Airflow, or comparable platforms.\nExperience designing and operating cloud-native data solutions on AWS or another major cloud platform.\nHands-on experience with streaming and lakehouse technologies such as Apache Flink, Kafka, Apache Iceberg, Amazon S3, and enterprise data catalog technologies such as AWS Glue or comparable platforms.\nStrong understanding of scalability, performance, security, data quality, observability, reliability, and production operations.\nDemonstrated ability to lead complex technical initiatives spanning multiple applications, systems, and engineering teams.\nStrong communication and technical leadership skills, including mentoring engineers and influencing architectural and engineering decisions.\nPractical experience incorporating AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or equivalent tools into software engineering workflows.\nPreferred Qualifications\nExperience building AI-enabled data applications and Generative AI use cases such as Retrieval-Augmented Generation (RAG), natural-language-to-SQL, conversational analytics, intelligent data discovery, or semantic search.\nExperience with LLMs, embeddings, vector databases, metadata enrichment, knowledge retrieval, or similar AI/data architectures.\nExperience applying AI to data engineering use cases such as automated schema mapping, data transformation generation, data classification, anomaly detection, data-quality analysis, or intelligent pipeline troubleshooting.\nExperience integrating AI/ML models or agentic workflows with enterprise data platforms, APIs, and production data pipelines.\nFamiliarity with AI platform concepts such as model gateways, MCP, prompt and context management, evaluation, observability, security, and responsible AI practices.\nExperience with large-scale enterprise or clinical data migrations, analytics platforms, APIs, or reusable data products.\nExperience with infrastructure automation and modern engineering practices using technologies such as Kubernetes, Terraform, GitHub Actions, or equivalent.\nExperience in life sciences, healthcare, clinical trials, or another regulated environment.\nAs with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location.\nThe salary range for positions that will be physically based in the NYC Metro Area is $135,000-180,000\nThe salary range for positions that will be physically based in all other locations within the United States is $120,750-161,000.\nBase pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance, 401(k) matching, family leave, flexible paid time off; and 10 paid holidays per year.\nEqual Employment Opportunity:\nIn order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.\nWe will accept applications on an ongoing basis until we fill the position.\nInclusion statement\nIn order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.\nQualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.\n Salary Pay Transparency\nCompensation for the role will be commensurate with experience. The total expected compensation range will be between $135000 and $180000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.\nApply\nDassault Systèmes\">\nMEDIDATA generates the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes.\nWant to learn more?\nVisit the other sections of our website to find out more.\nOur Culture & Values\n Discover our culture and values.\nTake me there\nYour Recruitment Journey\n Get to know about your recruitment journey.\nKnow more\nStudents & Graduates\n Be part of the future of our workforce - check out internship and job opportunities.\nLearn more","description_format":"text","description_chars":10852,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Annual bonuses","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["CAD, PLM & BIM Software","Simulation & Digital Twin Software","Clinical Trial Software","Manufacturing & Industrial Software"],"lifecycle":[{"event":"open","at":"2026-10-19T00:37:22Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.62,"p_room":1,"age_days":9,"expected_fill_days":38,"reasons":["conf:34","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":false},"html_url":"https://alion.io/job/dassault-systemes-staff-data-engineer-data-nexus","json_url":"https://alion.io/job/dassault-systemes-staff-data-engineer-data-nexus.json","meta":{"generated_at":"2026-10-25T01:05:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1662,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":144},"rest":"https://alion.io/mcp/rest/get_company?id=144"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdassault-systemes-staff-data-engineer-data-nexus"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdassault-systemes-staff-data-engineer-data-nexus"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdassault-systemes-staff-data-engineer-data-nexus"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dassault-systemes-staff-data-engineer-data-nexus\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdassault-systemes-staff-data-engineer-data-nexus"}]}