{"id":1603849,"url":"https://alion.io/job/charles-schwab-senior-specialist-data-platform-engineering","title":"Senior Specialist, Data Platform Engineering","company":{"id":5314,"name":"Charles Schwab","domain":"schwab.com","url":"https://alion.io/company/charles-schwab-inc","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"A","score":100,"open_postings":60,"ghost_share":0,"stale_share":0.1,"repost_share":0.1,"time_to_fill_p50_days":8,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":35000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":43},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Bamboo","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Jenkins","optional":false},{"name":"Matplotlib","optional":false},{"name":"Plotly","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Seaborn","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Terraform","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-07-23T00:00:00Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-19T02:43:31Z","board_verified":true,"closed_at":null,"days_open":88,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":88},"description":"Your opportunity\nAt Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitmentto doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success - they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.\nOur Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations - it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region.\nWhat you have\nThe SAM Data Technology team builds and enhances cloud native data pipelines and data platform capabilities that support Schwab Asset Management’s analytical, operational, and regulatory data needs. As a Sr. Specialist (Level 56), you will take on expanded ownership of data pipeline design, cloud data engineering patterns, and the development of scalable data solutions across Snowflake and Google Cloud Platform (GCP). \nEngineers at this level operate with greater independence, take lead roles in technical problem solving, and contribute to shaping best practices for data engineering within SAMDA.\nKey Responsibilities:\nDesign & Build Investment Data Pipelines \nDesign, develop, and optimize investment data pipelines using ETL/ELT patterns. \nIntegrate data from custodians, vendors, and internal platforms into curated datasets. \nBuild reliable workflows using GCS, Dataproc, Cloud Dataflow, Composer (Airflow), and Pub/Sub. \nImplement scalable transformations in Snowflake and other cloud data warehouses. \nInvestment Data Modeling \nContribute to portfolio, transaction, pricing, and performance data models aligned to investment use cases. \nApply Kimball/star schema patterns and domain driven modeling for analytics and reporting. \nOptimize schemas for API consumption, dashboards, and quantitative analysis.\nData APIs for Investment Use Cases (Full Stack) \nDesign and implement Investment Data APIs using Python \nExpose curated investment datasets (holdings, performance, risk metrics) via secure REST endpoints. \nEnable programmatic access for portfolio managers, analysts, and downstream applications. \nApply authentication, authorization, and data entitlement controls consistent with regulated investment data. \nPython Dashboards & Investment Analytics UI \nBuild Python based dashboards and UI applications (Streamlit, Dash, Panel). \nCreate interactive visualizations for portfolio views, performance trends, and risk insights using Plotly, Matplotlib, and Seaborn. \nTranslate complex investment datasets into intuitive, self service analytical experiences. \nOptimize dashboard performance for large portfolios and time series data. \nAdvanced Cloud & Application Engineering \nBuild data and application services using Cloud Run, Cloud Functions, and Cloud SQL. \nApply distributed processing frameworks (Apache Spark, Beam, Flink) for large scale investment datasets. \nPackage and deploy APIs and dashboards using Docker. \nDevOps, CI/CD & Automation \nOwn CI/CD pipelines for data pipelines, investment data APIs, and Python UI applications. \nUse Git/Bitbucket/Bamboo, Jenkins, GitHub Actions, Maven, Nexus for build and release automation. \nData Quality, Controls & Reliability (Investments) \nImplement data quality checks specific to investment data (reconciliation, completeness, timeliness). \nMonitor pipelines, APIs, and dashboards to ensure reliable delivery of investment insights. Troubleshoot complex data issues impacting portfolio, performance, or risk reporting.\nRequired Qualifications:\nBachelor’s degree in Computer Science, Information Technology, or equivalent experience. \n3-5 years of experience building cloud based investment or financial data platforms. \nHands on experience with Snowflake and GCP services (GCS, Cloud Run, Cloud Functions, Pub/Sub, Composer, Cloud SQL). \nStrong Python skills for data engineering, API development, and visualization. \nExperience building REST APIs using FastAPI, Flask, or similar frameworks. \nExperience building Python dashboards/UI (Streamlit, Dash, Panel). \nExperience with distributed processing frameworks (Spark, Beam, or Flink). \nProficiency with CI/CD, Docker, and IaC (Terraform or GCP Deployment Manager).\nPreferred Qualifications:\nExperience with investment management data (portfolios, performance, risk, pricing). \nFamiliarity with custodians, portfolio accounting, or market data vendors. \nKnowledge of data governance, entitlements, and controls in regulated investment environments. \nAbility to lead cross functional investment data initiatives. \nStrong documentation and communication skills. \nWhat’s in it for you\nAt Schwab India, you’re empowered to shape your future. We support your growth through meaningful work, continuous learning, and a culture rooted in trust and collaboration - so you can build the skills to make a lasting impact. Our benefits are designed to care for your wellbeing, your family, and your long-term financial security.\nOur base benefits, wellbeing, and total rewards include:\n Competitive compensation and retirement programs including Employee Provident Fund (EPF), Gratuity, and optional National Pension System (NPS) contributions\nRobust Paid Time Off, including annual/privilege leave, sick and casual leave, public holidays, maternity/paternity leave, and more\nComprehensive medical insurance with Outpatient Department (OPD) services, including vaccination, pharmacy, dental, and vision coverage\nAnnual reimbursement for health check-ups and mental health support through our Employee Assistance Program (EAP)\nChildcare (creche) reimbursement for eligible employees\nTransportation and meal benefits that support your day-to-day work\nGroup life, personal accident, and critical illness insurance","description_format":"text","description_chars":6564,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds"],"lifecycle":[{"event":"open","at":"2026-10-01T19:40:16Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.216,"p_room":0.28,"age_days":86,"expected_fill_days":8,"reasons":["conf:1","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/charles-schwab-senior-specialist-data-platform-engineering","json_url":"https://alion.io/job/charles-schwab-senior-specialist-data-platform-engineering.json","meta":{"generated_at":"2026-10-19T03:45:06Z","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":2107,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":5314},"rest":"https://alion.io/mcp/rest/get_company?id=5314"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcharles-schwab-senior-specialist-data-platform-engineering"},{"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%2Fcharles-schwab-senior-specialist-data-platform-engineering"},{"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%2Fcharles-schwab-senior-specialist-data-platform-engineering"},{"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/charles-schwab-senior-specialist-data-platform-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcharles-schwab-senior-specialist-data-platform-engineering"}]}