{"id":1546286,"url":"https://alion.io/job/lpl-engineer-ii-data-cloud-ai","title":"Engineer II, Data (Cloud & AI)","company":{"id":678842,"name":"LPL Financial","domain":"lpl.com","url":"https://alion.io/company/lpl","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":70,"ghost_share":0,"stale_share":0.971,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-10T05:45:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Charlotte, United States","Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":130000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":583},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-11T19:14:26Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"Where Ambition Meets Innovation\nBuild a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.\nJob Overview:\nLPL Financial is looking for an Engineer II, Data who can build and operate cloud-native data solutions at enterprise scale. This role combines AWS cloud engineering, data pipeline development, platform reliability, and AI-assisted software development. The ideal candidate enjoys solving operational challenges, automating manual processes, and using modern AI tools to accelerate engineering outcomes while supporting mission-critical production systems.\nThe Engineer II, Data (Cloud & AI) is responsible for designing, building, supporting, and optimizing cloud-native data solutions within the Enterprise Data Integration Framework (EDIF).\nThis role supports the ingestion, validation, transformation, enrichment, and standardization of enterprise data while leveraging modern cloud and AI technologies to improve engineering productivity, operational efficiency, and platform observability.\nThe ideal candidate combines strong data engineering fundamentals with AWS cloud experience and practical experience using AI-assisted development tools and generative AI technologies.\nJob Responsibilities\nData Engineering\nDesign, develop, and maintain cloud-based data ingestion and transformation pipelines.\n\nSupport onboarding of new vendor and enterprise data sources.\n\nOptimize processing performance for large-volume datasets.\n\nBuild reusable ingestion, validation, and transformation frameworks.\n\nDevelop automated data quality validation processes.\n\nCloud Engineering\nDevelop and support AWS-based solutions.\n\nBuild infrastructure using Terraform and Infrastructure as Code practices.\n\nSupport CI/CD deployment pipelines.\n\nImprove platform scalability, resiliency, and disaster recovery readiness.\n\nImplement monitoring and observability capabilities.\n\nAI-Assisted Engineering\nUtilize AI coding assistants to improve development velocity and engineering efficiency.\n\nDevelop proof-of-concept solutions leveraging LLMs and generative AI services.\n\nBuild intelligent operational tooling for monitoring, troubleshooting, and support workflows.\n\nIdentify opportunities where AI can reduce engineering effort or improve service delivery.\n\nEvaluate and implement AI-driven automation capabilities within established governance standards.\n\nProduction Support & Reliability\nParticipate in application support and incident response processes.\n\nTroubleshoot and resolve production pipeline failures.\n\nConduct root cause analysis and drive preventative improvements.\n\nSupport platform monitoring and operational reporting.\n\nContribute to runbooks and operational documentation.\n\nCollaboration\nParticipate in Agile ceremonies and sprint activities.\n\nWork closely with product managers, architects, analysts, and business stakeholders.\n\nCollaborate with vendor teams and upstream/downstream data consumers.\n\nContribute to architecture discussions and technical design reviews.\n\nKey Objectives\nDeliver scalable and resilient data ingestion solutions.\n\nImprove AWS cloud infrastructure and operational maturity.\n\nImplement AI-enabled engineering solutions where appropriate.\n\nReduce manual support effort through automation.\n\nMaintain high platform availability and service quality.\n\nSupport enterprise data governance and security standards\n\nWhat Are We Looking For?\nWe are seeking motivated engineers who thrive in a fast-paced, cloud-first data environment and are eager to work at the intersection of data engineering and AI-augmented development. An ideal candidate demonstrates:\nBuild scalable cloud data pipelines.\n\nImprove platform reliability and operational excellence.\n\nAutomate manual engineering processes.\n\nLeverage AI technologies to accelerate delivery.\n\nReduce operational overhead through intelligent tooling.\n\nSupport modernization initiatives across cloud and data platforms.\n\nRequirements\nBachelor’s degree in Computer Science, Engineering or related field with minimum of 3 years of experience in software engineering, cloud engineering, platform engineering, or data engineering OR Master's degree in Computer Science, Data Engineering, Artificial Intelligence, Information Systems, Engineering, or a related field with minimum of 1 year of relevant experience.\n\nDemonstrated experience building, supporting, or maintaining cloud-based applications, data platforms, or production systems.\n\nHands-on experience with AWS services including S3, Lambda, Glue, CloudWatch, IAM, EventBridge, and Athena\n\nProficiency in Python and or PySpark for data transformation, SQL, API Integrations, and Git/GitHub\n\nExperience in data engineering to include, ETL/ELT pipeline development, Data validation frameworks, Data quality practices, and Batch and event-driven processing\n\nCore Competencies\nStrong analytical, troubleshooting, and problem-solving skills.\n\nExcellent debugging and troubleshooting capabilities\n\nEffective communication and collaboration\n\nAbility to work independently and deliver in fast-paced environments\n\nHigh attention to detail and commitment to data quality\n\nAbility to work independently while collaborating effectively within Agile teams.\n\nContinuous learning mindset, including adoption of AI-assisted engineering practices in a responsible manner\n\n Preferences\nAWS certification(s).\n\nFinancial services experience.\n\nData platform engineering.\n\nEvent-driven architectures.\n\nLarge-scale file processing.\n\nProduction support and on-call responsibilities.\n\nObservability and monitoring platforms.\n\nTerraform, Infrastrucutre as Code, CI/CD pipelines\n\nExperience building solutions using:\nAmazon Bedrock\n\nAzure OpenAI\n\nOpenAI APIs\n\nVector databases\n\nRetrieval Augmented Generation (RAG)\n\nUnderstanding of:\nPrompt engineering\n\nLLM evaluation\n\nAI governance and security\n\nAgentic workflows\n\nAI-powered automation\n\nPay Range:\n$40.10-$66.83/hourActual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!Company Overview:\nLPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.\nAt LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.\nFor further information about LPL, please visit www.lpl.com.\nJoin the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.\nInformation on Interviews:\nLPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.\nEAC 5.19.26","description_format":"text","description_chars":8625,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Continuous learning","Stock options"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Financial Services","Credit Unions & Cooperative Banks","Leasing, Auto & Equipment Finance"],"lifecycle":[{"event":"open","at":"2026-09-30T22:14:25Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 121 · green card filings: 3","filings_12m":121,"filings_prev_12m":103,"green_card_filings_12m":3,"median_offered_wage_usd":152379,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":86}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.316,"p_room":0.35,"age_days":32,"expected_fill_days":12,"reasons":["conf:0","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/lpl-engineer-ii-data-cloud-ai","json_url":"https://alion.io/job/lpl-engineer-ii-data-cloud-ai.json","meta":{"generated_at":"2026-10-11T22:59:00Z","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":13323,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"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":678842},"rest":"https://alion.io/mcp/rest/get_company?id=678842"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flpl-engineer-ii-data-cloud-ai"},{"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%2Flpl-engineer-ii-data-cloud-ai"},{"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%2Flpl-engineer-ii-data-cloud-ai"},{"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/lpl-engineer-ii-data-cloud-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flpl-engineer-ii-data-cloud-ai"}]}