{"id":1730683,"url":"https://alion.io/job/charles-schwab-data-engineer-4","title":"Data Engineer","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":"B","score":80,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-10-03T05:45:00Z"}},"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":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"BigQuery","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"Jira","optional":false},{"name":"Liquibase","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-10-03T00:02:30Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-03T22:38:16Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Your opportunity\nAt Schwab, you are empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.\nSchwab is recruiting an outcome driven, results-oriented, well organized data technology lead who shares our passion for technology, innovation, people, and excellence. Our main goal here at Schwab is to transform people’s lives by changing the way the world invests. We are in the midst of re-architecting and rebuilding our core enterprise data platform to support our rapidly growing and evolving business. The technical engineering lead will be a hands-on lead engineer with technical/business acumen and lead experience that excels in a structured, dynamic, fast-moving environment and is passionate about developing high quality, high performance, and scalable solutions. The candidate will lead and work aside a team of seasoned engineers whose main objective is to maintain all aspects of the system health and ensure the on-time, quality delivery of software releases.\nThis position will be part of the Operational Data Exchange (ODX) Technology team within the Schwab Data organization focusing on providing Operational Intelligence and Insights, and position Schwab to remain a Data Driven organization using a world class Data Exchange (DX) platform. The DX support various critical business functions and business units - Schwab Technology Services (STS), Audit, Corporate Tax, Risk, Compliance, etc. This is a role for someone who is passionate and excited to learn/understand corporate systems, focus on basics and streamline existing system to make it stable, and build a future state data platform that is going to be pivotal to drive client-centricity, reducing time to market, scale & increasing efficiency. Ideal candidates enjoy creating structure in a fast-paced environment, thrive under ambiguity, and embrace change passionately. This is a unique opportunity to grow and transform our business through driving significant step-change in our time to market, building more stable integrated solutions, and enabling project success via cross-functional coordination and ownership.\nThis position could sit in Austin, TX.\nIn this role you will:\nProvide technical and project leadership to data pipeline development.\nUnderstand the needs of the business and using this knowledge to align on a solution and drive delivery\nDrive Agile development supporting organization priorities and innovation.\nCollaborate with analysts, and other stakeholders to understand data requirements and deliver tailored solutions.\nDesign, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.\nDevelop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem. \nImplement data validation and quality checks to ensure accuracy and consistency\nMentoring junior team members to ensure team and project success.\nImplement data security controls and access management policies to protect sensitive information.\nDrive outcomes and team performance and collaborate with all to achieve results.\nWork closely with development, product owner and team members to decompose stories, design features, and prioritize tasks.\nEffectively navigate cross-functional communication to ensure alignment between teams and within one team. \nCultivate a culture of open feedback that promotes accountability for getting better together.\nCollaborate with other shared functions to support application support and automation for deployments.\nInterface with product owner and key stakeholders in Project Management, Business, Development, QA and Technology Operations to ensure high quality delivery of software projects on time.\nIdentify technology risks and dependencies early to establish mitigation plans.\nCreate and maintain artifacts for production support and deployment processes and ensure smooth hand off to support teams. \nMeet periodically with onshore and offshore developers and application support to review and improve processes.\nDemonstrated ability to disagree, debate your case with data, and commit to deliver regardless of the outcome.\nWhat you have\nRequired\nExpertise in ETL development, Data Quality, Best Practices, Exception Handling\nSQL, Google Cloud Products including BigQuery, Cloud Storage, Dataflow, Composer, Pub/Sub, SQL Server Integration Services\nExpertise in Informatica (IDMC/IICS) and Python coding skills\nUsed AI in development lifecycle to gain efficiency\nBusiness Analysis experience to perform data analysis to translate business requirements to data mapping\nExceptional track record in delivering results and business outcomes\nExperience in maturing teams at different levels\nMasters or bachelor’s degree in computer science, Information Technology or similar/equivalent area of study\nMinimum of 3 years working in the financial services industry.\nMinimum of 8 years of solid data engineering experience.\nMinimum of 2 years project lead experience in matrixed organization\nStrong understanding of Data Warehouse concepts (star schema, slowly changing dimensions, fact/dimension modeling) and Operational Data Exchanges/Stores.\nSolid understanding of data lifecycle, metadata management, and governance standards.\nStrong communication and stakeholder management skills across technical and non-technical audiences.\nWillingness to learn new skills and keep up with technology changes in future to meet business needs.\nPrior experience working in an onshore offshore model driving development outcomes.\nPreferred\nExperience working with and sourcing data from Corporate Systems like Workday, BMC Remedy Helix, Jira, Rally, etc. \nExperience providing guidance, direction, and feedback to other technical staff to meet agreed upon objectives.\nAbility to analyze, propose and implement timely, effective, quality solutions for all issues or problems within area of responsibility.\nExcellent verbal and written communication skills required for composing and delivering technical presentations or other forms of documentation to various levels of technical and non-technical management.\nProficient managing multiple priorities in a well-organized, dynamic, geographically dispersed environment\nStrong understanding of Data pipelines and patterns\nExperience in dev tools such as GitHub, Bamboo, Liquibase \nIn addition to the salary range, this role is also eligible for bonus or incentive opportunities.\nThis position will be in Southlake, TX.\nWhat’s in it for you\nAt Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.\nWe offer a competitive benefits package that takes care of the whole you - both today and in the future:\n401(k) with company match and Employee stock purchase plan\nPaid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions\nPaid parental leave and family building benefits\nTuition reimbursement\nHealth, dental, and vision insurance","description_format":"text","description_chars":7437,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":2,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Hybrid work","Parental leave","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds"],"lifecycle":[{"event":"open","at":"2026-10-03T00:02:30Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 476 · green card filings: 223","filings_12m":476,"filings_prev_12m":595,"green_card_filings_12m":223,"median_offered_wage_usd":155883,"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":31}],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":0,"expected_fill_days":8,"reasons":["conf:5","wave","velocity","win:early","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":false},"html_url":"https://alion.io/job/charles-schwab-data-engineer-4","json_url":"https://alion.io/job/charles-schwab-data-engineer-4.json","meta":{"generated_at":"2026-10-04T00:26:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":431,"day_limit":5000,"remaining_today":4569,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}