{"id":61091,"url":"https://alion.io/job/state-street-siem-data-engineer","title":"SIEM Data Engineer","company":{"id":1806,"name":"State Street","domain":"statestreet.com","url":"https://alion.io/company/state-street","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":97,"open_postings":338,"ghost_share":0.015,"stale_share":0.24,"repost_share":0.047,"time_to_fill_p50_days":21,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Quincy, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":157500,"currency":"USD","period":"year","gross":null,"usd_annual":157500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SIEM","optional":false},{"name":"Spark","optional":false},{"name":"Splunk","optional":false},{"name":"SQL","optional":false},{"name":"Windows","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Vector","optional":true}],"status":"live","first_seen_at":"2026-08-17T00:00:00Z","employer_posted_date":"2026-08-17","last_verified_at":"2026-10-17T02:12:17Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"Who we are looking for\nWe are looking for aSIEM Data Engineerreporting directly to theCyber Data Engineering Manager. You will support the onboarding, transformation, routing, validation, and operational support of cybersecurity telemetry and enterprise log data used for security monitoring, analytics, reporting, incident response, and cyber data science use cases.\nThis role is focused on understanding diverse enterprise data sources,buildingandmaintainingsecurity telemetry pipelines, validating data quality, and ensuring reliable delivery of high-quality data into cyber data platforms such as Splunk, Databricks, and other SIEM or cyber analytics platforms. You will work closely with cybersecurity, infrastructure, cloud, application, anddata engineering teams to ensure security telemetry isaccurate, searchable, complete, and fit for purpose.\nWhy This Role Is Important to Us\nThe team you will be joining is part ofCyber Data & Analytics, a function that is vital to the company as it enables cybersecurity teams to make faster, data-driven decisions and strengthen the firm’s ability to detect, investigate, and respond to evolving cyber threats.\nHigh-quality cybersecurity data is foundational to effective threat detection, incident response, risk reporting, observability, automation, analytics, and compliance. This role helps ensure that enterprise security telemetry is properly onboarded,validated, enriched, routed,monitored, and continuously available to support critical cyber defense capabilities.\nWhat you will be responsible for\nAs SIEM Data Engineer you will:\nSupport onboarding of security telemetry from applications, infrastructure, endpoints, identity platforms, network devices, cloud services, SaaS tools, databases, and security products.\n\nAnalyze source log formats and define ingestion requirements, expected fields, metadata, routing needs, and downstream SIEM/analytics use cases.\n\nConfigure telemetry pipelines for parsing, filtering, masking, enrichment, normalization, event breaking, metadata tagging, and destination routing.\n\nRoute security telemetry toSplunk, Databricks, and other SIEM or cyber analytics platforms.\n\nSupport validation and delivery of security telemetry into Databricks across raw, enriched, and curated data layers.\n\nSupport ingestion patterns such as syslog, HEC, REST APIs, cloud storage, streaming services, forwarders, and agent-based integrations.\n\nValidate data quality in Splunk and Databricks for freshness, completeness, timestamp accuracy, field availability, schema consistency, source attribution, and routing accuracy.\n\nTroubleshoot ingestion and data flow issues across sources, collectors, pipelines, SIEM platforms, Databricks tables, APIs, cloud storage, and streaming platforms.\n\nProvidesecond-line-of-defense supportfor operational issues related to data engineering jobs, pipelines, ingestion failures, and issues leading to loss of data delivery to cyber data platforms.\n\nCollaborate with Detection Engineering, Security Operations, Cyber Data Science, Observability, Cloud, Infrastructure, Application, and Platform teams to ensure telemetry supports security use cases.\n\nAssistwith source type assignment, index routing, taxonomy tagging, metadata enrichment, CIM alignment, schema mapping, and data validation.\n\nMonitor pipeline health, dropped events, destination failures, ingestion latency, queue growth, and data delivery issues.\n\nDocument onboarding patterns, field mappings, transformation logic, routing decisions, data flow diagrams, runbooks, troubleshooting procedures, and operational handoffs.\n\nParticipate in production support, change management, incident response, root cause analysis, and continuous improvement activities\n\nSecond-line-of-defense support for operational issues related to data engineering (jobs/pipelines) and issues leading to loss of data delivery to Cyber data platforms\n\nWhat we value\nThese skills will help you succeed in this role\nStrong understanding of SIEM data onboarding, log ingestion, data routing, parsing, enrichment, validation, and troubleshooting.\n\nHands-on experience withSplunkor similar SIEM/log analytics platforms.\n\nHands-on experience or working knowledge ofCribl Streamor similar data pipeline technologies for routing, filtering, parsing, enrichment, transformation, and destination delivery.\n\nAbility to understand and onboard telemetry from diverse enterprise data sources across cloud, endpoint, identity, network, application, infrastructure, database, SaaS, and security platforms.\n\nFamiliarity with common log formats such asJSON, XML, CSV, key-value, syslog, Windows Event Logs, cloud audit logs, API responses, and application logs.\n\nWorking knowledge of Databricks or similar analytics/lakehouseplatforms is preferred.\n\nFamiliarity with Databricks data layers and data engineering concepts, including raw data ingestion, enrichment, curated tables, SQL-based validation, and analytics-ready datasets.\n\nAbility to useSPL, SQL, Spark SQL, Python, Shell, or PowerShellfor data validation, querying, troubleshooting, and automation.\n\nUnderstandingdata quality concepts, including log fidelity, event completeness, timestamp accuracy, field consistency, duplicate detection, routing validation, and data delivery monitoring.\n\nStrong documentation, communication, collaboration, prioritization, and problem-solving skills.\n\nEducation & Preferred Qualifications\nMaster's or bachelor'sdegree in computer science, Cybersecurity, Information Technology, Engineering, Data Engineering, Data Analytics, Information Systems, or a related technical field; equivalent work experience may also be considered\n\n5+ years of experience in SIEM engineering, security data engineering, cybersecurity platform operations, or log analytics, with hands-on experience using Splunk or similar SIEM/log analytics platforms.\n\n2+ years of experience with Cribl Stream or similar data pipeline technologies such as Fluent Bit/Fluentd, Vector, Kafka,Syslog, HEC, REST APIs, or cloud-native ingestion services.\n\n2+ years of experience with Databricks, data lakehouseplatforms, large-scale analytics platforms, or security data repositories for telemetry validation, analytics, and data engineering use cases.\n\nExperience onboarding,validating, and troubleshooting security telemetry from diverse enterprise sources to support threat detection, observability, incident response, reporting, and cyber analytics use cases.\n\nExperience querying and validating data usingSPL, SQL, Spark SQL, Python, or similar languages.\n\nExperience analyzing logs from cloud, endpoint, network, identity, infrastructure, application, database, SaaS, and security tools.\n\nExperience with production support, issue troubleshooting, ticket documentation, root cause analysis, operational handoffs, and continuous service improvement.\n\nRelevant certifications are preferred, includingCribl certificationssuch asCribl Certified Observability Engineer,Splunk certificationssuch asSplunk Certified Admin,Splunk Certified Architect, orSplunk Certified Consultant, or equivalent hands-on platform experience.\n\nCloud, infrastructure, data engineering, or cybersecurity certifications are a plus.\n\nWork Requirement\nThis role may follow a hybrid work model, with in-office presence requiredbased on team, business, and location expectations.\n\nStandard working hours are 8:00 AM to 5:00 PM local time for the employee’s designated work location. Flexibility may berequiredfor occasional operational support, release of activities, incident resolution, escalation support, or datadelivery ofrecovery efforts.\n\nSalary Range:\n$90,000 - $157,500 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.\nEmployees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.\nFor a full overview, visit https://hrportal.ehr.com/statestreet/Home.\nAbout State Street\nAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.\nWe are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.\nAs an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.\nDiscover more information on jobs at StateStreet.com/careers\nRead our CEO Statement\nJob Application Disclosure:\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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