{"id":1933765,"url":"https://alion.io/job/fractal-data-engineer-2","title":"Data Engineer","company":{"id":226,"name":"Fractal","domain":"fractal.ai","url":"https://alion.io/company/fractal-analytics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":41,"ghost_share":0,"stale_share":0.951,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-09T06:01:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":125000,"currency":"USD","period":"year","gross":null,"usd_annual":125000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Alteryx","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Portkey","optional":false},{"name":"Tableau","optional":false},{"name":"Apex","optional":true},{"name":"Kong","optional":true},{"name":"Machine Learning","optional":true},{"name":"MuleSoft","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-05T22:50:57Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-09T22:29:12Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"It's fun to work in a company where people truly BELIEVE in what they are doing!\nWe're committed to bringing passion and customer focus to the business.\nFractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.\nLocation: Remote (supporting EST hours)\nRole Summary\nWe are seeking an experienced Data Engineer to support a large-scale AI, Data, and Analytics transformation initiative within a leading Financial Services organization. This role will be responsible for driving platform modernization, AI Gateway migration, BI transformation, AI evaluation framework development, and cloud-native data engineering.\nThe successful candidate will play a key role in supporting the organization's AI ecosystem built on Claude LLM, OpenAI Custom GPTs, AWS, Tableau, and Alteryx, while helping define strategy and execute the migration of enterprise AI and analytics platforms.\nKey Responsibilities\nPlatform Migration & Modernization\nDesign and execute migration strategies for enterprise data, analytics, and AI platforms to AWS cloud environments.\nAssess legacy architectures and define target-state data and AI platform architectures.\nLead migration planning, implementation, testing, and production deployment activities.\nOptimize platform performance, scalability, resiliency, and operational efficiency.\nDevelop migration roadmaps and implementation plans aligned with business and technology objectives.\nAI Gateway Engineering & Migration\nDesign, develop, and support enterprise AI Gateway solutions enabling governed access to AI services.\nLead the migration of AI Gateway capabilities from Portkey to Apigee, including architecture design, implementation planning, and execution.\nDevelop and maintain integration frameworks connecting enterprise applications to: Claude LLMOpenAI Custom GPTsAWS Bedrock and AI services\nImplement authentication, authorization, observability, rate limiting, usage tracking, and audit capabilities.\nCreate reusable APIs and services that enable secure and scalable AI adoption across the organization.\nEstablish operational monitoring and governance controls for AI platform usage.\nAI Evaluation Framework & Tool Development\nDefine enterprise AI evaluation, testing, and validation frameworks for GenAI applications, AI agents, and LLM-powered solutions.\nBuild evaluation tooling and automation capabilities covering: Functional testingAccuracy testingHallucination detectionPrompt evaluationGroundedness verificationSafety and toxicity testingBias and fairness assessmentRegression testingAgent workflow validationPerformance benchmarking\nDevelop evaluation datasets, benchmark suites, scoring methodologies, and approval criteria.\nImplement automated testing pipelines integrated into AI development and deployment workflows.\nCreate evaluation dashboards and reporting capabilities for engineering, governance, and business stakeholders.\nAI Monitoring & Observability\nDesign and implement monitoring frameworks for AI applications, agents, and AI Gateway services.\nDevelop solutions to monitor: Model performanceService latencyToken consumptionUser adoptionAI quality metricsCost and utilization trendsProduction incidents and failures\nImplement alerting, troubleshooting, and operational support processes.\nBuild observability dashboards supporting engineering, operations, and governance teams.\nBI Transformation Strategy & Implementation\nDefine strategy and implementation roadmap for enterprise BI modernization initiatives.\nSupport Alteryx retirement and migration of analytics workflows to strategic cloud-based platforms.\nLead migration strategy and execution for Tableau Cloud adoption.\nAssess existing reporting, dashboards, workflows, and dependencies to establish migration priorities.\nDesign scalable and governed analytics architectures supporting self-service business intelligence.\nCollaborate with business and analytics teams to modernize reporting ecosystems and improve user adoption.\nData Engineering & Integration\nBuild and maintain scalable ETL/ELT data pipelines supporting AI, analytics, and reporting workloads.\nDesign ingestion, transformation, and orchestration frameworks for structured and unstructured datasets.\nEnable creation of high-quality data products for AI model development, evaluation, and business intelligence.\nImplement data quality, metadata management, lineage, and governance capabilities.\nSupport integration between enterprise applications, AI platforms, and analytics tools.\nAWS Data Platform Development\nDevelop and optimize cloud-native solutions leveraging AWS technologies including: S3GlueLambdaRedshiftBedrockAPI GatewayIAM\nImplement CI/CD, infrastructure automation, and deployment best practices.\nSupport platform engineering efforts ensuring secure, scalable, and compliant deployments.\nSecurity, Governance & Compliance\nImplement data governance, security, privacy, and compliance requirements across AI and analytics platforms.\nEnsure adherence to Financial Services regulatory standards and enterprise risk controls.\nSupport audit readiness through monitoring, documentation, and operational transparency.\nEnable secure handling of customer, financial, and sensitive business data.\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related discipline.\n5+ years of experience in Data Engineering, Platform Engineering, Cloud Engineering, or Analytics Engineering.\nStrong experience delivering cloud migration and platform modernization initiatives.\nHands-on expertise with: AWS (S3, Glue, Lambda, Redshift, Bedrock, API Gateway, IAM)PythonSQLREST APIs and microservicesTableauAlteryx\nExperience integrating applications with Claude, OpenAI, or similar LLM platforms.\nExperience designing and implementing AI testing, evaluation, and monitoring solutions.\nStrong understanding of data architecture, ETL/ELT development, and cloud-native engineering.\nExperience supporting enterprise-scale platform migration programs.\nKnowledge of data governance, security, and compliance requirements.\nExcellent analytical, problem-solving, and stakeholder management skills.\nPreferred Qualifications\nExperience building or managing enterprise AI Gateway platforms.\nExperience leading migration initiatives from Portkey, Kong, MuleSoft, Apigee, or similar API/AI Gateway solutions.\nExperience defining AI evaluation frameworks for: LLM applicationsRAG systemsAI copilotsAgentic AI solutions\nFamiliarity with: Vector databasesPrompt engineeringRetrieval-Augmented Generation (RAG)AI observability platformsAgent orchestration frameworks\nExperience supporting Alteryx-to-cloud modernization programs.\nExperience implementing Tableau Cloud migrations and BI transformation initiatives.\nFinancial Services domain experience across Banking, Capital Markets, Asset Management, Wealth Management, or Insurance.\nAWS Data Engineer, Solutions Architect, or Machine Learning certifications.\nExposure to AI governance and model risk management frameworks.\nPay:\nThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $115,000 - $125,000. In addition, you may be eligible for a discretionary bonus for the current performance period.\nBenefits:\nAs a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of Employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.\nFractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\nNot the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!","description_format":"text","description_chars":9860,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Decision Intelligence","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-05T22:50:57Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":29,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-09T06:01:00Z"},"pay":{"stated_usd_annual":125000,"is_top_pay":false},"html_url":"https://alion.io/job/fractal-data-engineer-2","json_url":"https://alion.io/job/fractal-data-engineer-2.json","meta":{"generated_at":"2026-10-10T01:39:09Z","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","counted_by":"address","units_charged":1,"used_today":2964,"day_limit":5000,"remaining_today":2036,"minute_limit":60,"resets_at":"2026-10-11T00:00:00Z"}},"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":226},"rest":"https://alion.io/mcp/rest/get_company?id=226"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffractal-data-engineer-2"},{"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%2Ffractal-data-engineer-2"},{"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%2Ffractal-data-engineer-2"},{"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/fractal-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffractal-data-engineer-2"}]}