{"id":4303547,"url":"https://alion.io/job/ey-cyber-managed-services-data-engineer-senior","title":"Cyber Managed Services - Data Engineer - Senior","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","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":92900,"max":153900,"currency":"USD","period":"year","gross":null,"usd_annual":153900},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"Least Privilege","optional":false},{"name":"MS SQL","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Active Directory","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"CockroachDB","optional":true},{"name":"Databricks","optional":true},{"name":"Db2","optional":true},{"name":"Informatica","optional":true},{"name":"LDAP","optional":true},{"name":"Neo4j","optional":true},{"name":"Oracle","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Power BI","optional":true},{"name":"pySpark","optional":true},{"name":"Rest API","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true},{"name":"YugabyteDB","optional":true}],"status":"live","first_seen_at":"2026-11-14T05:17:46Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T05:17:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Location: Dallas, Alpharetta, Charlotte, Jacksonville, and San Antonio\nAt EY, we’re all in to shape your future with confidence.\nWe’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.\nPosition Summary\nThe role will design, develop, test, deploy, and support secure, scalable data solutions that consolidate identity and access data from enterprise source systems into a centralized operational data store. The platform supports access visibility, operational reporting, risk analysis, remediation, automation, and decision-making across.\nThe engineer will contribute across the data-delivery lifecycle, including source-system discovery, data analysis, dimensional and relational modeling, ETL development, pipeline orchestration, data-quality validation, performance tuning, release automation, and production support. This role requires strong recent hands-on Microsoft SQL Server or Azure SQL engineering experience and the ability to deliver independently within an integrated Agile product team.\nKey Responsibilities\nDesign, develop, test, and maintain robust data pipelines and database solutions supporting the IAM Operational Data Store and related reporting applications.\nAnalyze source-system data and translate business, reporting, risk, and control requirements into scalable conceptual, logical, and physical data models.\nDevelop and optimize Microsoft SQL Server and Azure SQL objects, including complex queries, stored procedures, views, functions, indexing, partitioning, and transformation logic.\nBuild repeatable ETL and ingestion patterns for identity, account, entitlement, credential, inventory, activity, certification, lifecycle, and control-related data.\nDevelop and maintain SnapLogic pipelines and supporting scripts for data extraction, transformation, validation, reconciliation, and loading.\nIntegrate data from cloud and on-premises sources using databases, APIs, Microsoft Graph, flat files, and other enterprise integration patterns.\nCreate prepared-layer tables, source-to-target mappings, reusable transformation components, and reporting-ready datasets.\nImplement data-quality checks, reconciliation routines, health indicators, exception handling, logging, retry logic, and operational monitoring.\nTune database queries, pipelines, and data models to improve performance, scalability, reliability, and cost effectiveness.\nProtect sensitive identity and access data by applying secure database design, least-privilege access, secrets-management, encryption, and data-handling practices.\nBuild and maintain CI/CD pipelines and deployment processes supporting controlled promotion across development, quality-assurance, pre-production, and production environments.\nPerform unit, integration, regression, data-quality, and production-validation testing for ingestion pipelines and database changes.\nTroubleshoot data, application, pipeline, database, API, and deployment issues using logs, query plans, monitoring tools, and reconciliation evidence.\nCollaborate with analysts, product owners, architects, data-source owners, reporting engineers, security teams, and business stakeholders to define and deliver end-to-end data solutions.\nParticipate in Agile ceremonies, backlog refinement, sprint planning, demonstrations, code and design reviews, release readiness, and continuous-improvement activities.\nCreate and maintain technical designs, data models, lineage documentation, implementation procedures, test evidence, operational runbooks, and support materials.\nRequired Qualifications\nBachelor’s degree in computer science, data engineering, information technology, information systems, or a related field, or equivalent practical experience.\nApproximately 6-9 years of enterprise data-engineering, database-development, or related experience.\nAt least five years of strong SQL development experience, including complex queries, stored procedures, performance tuning, indexing, and relational database design.\nRecent hands-on development experience within the last three years using Microsoft SQL Server, Azure SQL Database, or Azure SQL Managed Instance.\nStrong understanding of relational and dimensional data modeling, normalization, data warehousing, operational data stores, fact and dimension structures, and slowly changing dimensions.\nExperience designing, developing, and supporting ETL pipelines and data-ingestion solutions for high-volume, multi-source enterprise data.\nExperience with SnapLogic or a comparable enterprise integration platform.\nProficiency in one or more supporting languages or tools such as Python, PowerShell, Unix shell scripting, or PL/SQL.\nExperience with Microsoft Azure data services and cloud-based database solutions.\nExperience implementing data-quality checks, source-to-target reconciliation, error handling, logging, monitoring, and operational support processes.\nExperience with Git-based source control, CI/CD pipelines, automated deployment, and tools such as Jenkins and Docker.\nExperience testing database changes, transformations, and end-to-end ingestion flows across multiple environments.\nFamiliarity with Agile delivery practices and tools such as Jira and Confluence.\nStrong analytical, problem-solving, documentation, communication, and stakeholder-management skills.\nAbility to work independently, review existing solutions, identify gaps, and deliver production-ready enhancements with limited ramp-up time.\nPreferred Qualifications\nExperience delivering data solutions for identity and access management, identity governance, privileged access management, cybersecurity, or technology-risk use cases.\nFamiliarity with IAM data domains such as identities, accounts, entitlements, applications, credentials, privileged access, certifications, and lifecycle events.\nExperience building centralized operational data stores that support reporting, risk analysis, remediation, automation, and audit evidence.\nHands-on experience with SnapLogic, including API, database, file, and cloud integration pipelines.\nExperience integrating Microsoft Graph, REST APIs, LDAP or Active Directory data, and structured or semi-structured file sources.\nExperience with Azure Data Factory, Azure Databricks, PySpark, Informatica, Snowflake, Oracle, PostgreSQL, or comparable data technologies.\nFamiliarity with Microsoft SQL Server, PostgreSQL variants such as YugabyteDB or CockroachDB, Oracle, DB2, and cloud-hosted database inventory or audit data.\nExperience creating reporting-ready datasets for Power BI, Tableau, or comparable analytics platforms.\nExperience with graph databases or analytics platforms such as Neo4j.\nFamiliarity with data lineage, metadata management, control reporting, and enterprise data-governance practices.\nExperience in a regulated financial-services environment and knowledge of secure software development, change management, and production-readiness controls.\nRelevant Microsoft Azure, database, data-engineering, or cybersecurity certifications.\nTechnology Environment\nDatabase and query development: Microsoft SQL Server, Azure SQL Database, Azure SQL Managed Instance, stored procedures, complex SQL, indexing, partitioning, query optimization, and relational data modeling.\nData integration and engineering: SnapLogic, ETL pipelines, source-to-target mapping, prepared-layer tables, data profiling, transformation, reconciliation, data-quality checks, and lineage management.\nCloud and source systems: Microsoft Azure, Microsoft Graph, REST APIs, Active Directory, Oracle, PostgreSQL, YugabyteDB, CockroachDB, DB2, Snowflake, structured files, and enterprise application data.\nDevelopment and automation: Python, PowerShell, Unix shell scripting, PL/SQL, Git, Jenkins, Docker, CI/CD pipelines, automated testing, and deployment automation.\nReporting and analytics: Operational reporting datasets, Power BI, Tableau, dashboard enablement, Neo4j graph analytics, and AI-assisted IAM analysis and remediation use cases.\nIAM ecosystem: Data from identity, account, entitlement, credential, inventory, certification, lifecycle, database, server, privileged access, and access governance systems/sources.\nSuccess Measures\nReliable, secure, scalable, and maintainable data pipelines delivered against sprint and release commitments.\nAccurate and timely ingestion of IAM data into the Operational Data Store across development, quality-assurance, pre-production, and production environments.\nImproved completeness, quality, traceability, and usability of identity and access data.\nHigh-performing SQL solutions and data pipelines that meet operational reporting and analytics requirements.\nClear source-to-target mappings, data lineage, technical documentation, testing evidence, and operational runbooks.\nSuccessful data reconciliation and resolution of exceptions across integrated source systems.\nReduced manual effort through reusable ingestion patterns, automated data-quality controls, and deployment automation.\nEffective collaboration with analysts, product owners, architects, data-source owners, reporting engineers, security teams, and business stakeholders.\nConsistent adherence to Fidelity security, data, architecture, engineering, change-management, and production-readiness standards.\nWhat we offer you\nAt EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.\nThe salary range for this job is:New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $92,900 to $153,900\nBay Area California offices - $96,000 to $160,500\nAll other offices locations in the US, including Sacramento - $77,500 to $140,900\n\nIndividual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.\nAre you ready to shape your future with confidence? Apply today.\nTo make the most of your application experience, please limit yourself to two applications within a six-month period.\nEY accepts applications for this position on an on-going basis.\nFor those living in California, please click here for additional information.\nAt EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.\nEY | Building a better working world\nEY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.\nEnabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.\nEY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.\nAll in to shape the future with confidence.\nEY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.\nEY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilitie...","description_format":"text","description_chars":12440,"description_truncated":true,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-11-14T05:17:46Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":28,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-11-14T05:58:10Z"},"pay":{"stated_usd_annual":153900,"is_top_pay":true},"html_url":"https://alion.io/job/ey-cyber-managed-services-data-engineer-senior","json_url":"https://alion.io/job/ey-cyber-managed-services-data-engineer-senior.json","meta":{"generated_at":"2026-11-14T13:10:06Z","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":13276,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":2859},"rest":"https://alion.io/mcp/rest/get_company?id=2859"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fey-cyber-managed-services-data-engineer-senior"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fey-cyber-managed-services-data-engineer-senior"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fey-cyber-managed-services-data-engineer-senior"},{"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/ey-cyber-managed-services-data-engineer-senior\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fey-cyber-managed-services-data-engineer-senior"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4303547}},{"tool":"search_jobs","arguments":{"company":"ey.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4303547},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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