{"id":1271920,"url":"https://alion.io/job/mizuho-financial-group-data-engineer","title":"Data Engineer","company":{"id":1828799,"name":"Mizuho Financial Group","domain":"mizuhogroup.com","url":"https://alion.io/company/mizuhogroup","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":13,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","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":88000,"max":115000,"currency":"USD","period":"year","gross":null,"usd_annual":115000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Delta Lake","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GCP","optional":true},{"name":"Scala","optional":true},{"name":"SSIS","optional":true}],"status":"live","first_seen_at":"2026-09-25T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-01T08:44:06Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Join Mizuho as a Data Engineer!\nThe IT Data team is responsible for design and development of Data products for the entire firm. The team is embarking on an ambitious new project/implementation. “DEAL”. It is the abbreviation for \"Data Exchange and Abstraction Layer\". It’s the next generation, Data Mesh based platform implemented in the Mizuho Azure Cloud on Databricks. Data Mesh is a decentralized data architecture where data is owned and managed by the domain-specific teams that produce the data i.e. Banking, Finance etc., and curate it for downstream consumption. It emphasizes domain-oriented ownership, treating data as a product, providing a self-serve data platform, and using limited federated computational governance from the Data Architecture and Data Management Office.\nIn this role you will be responsible for development of data solutions for the enterprise using innovative and cutting- edge technologies like AI tools / models. The solutions and software developed will be used for reporting and analytics by the entire firm globally. The data solutions developed will have to be accurate, timely and highly scalable. In this role you will be managing large data-sets with complex interdependencies. This is a hands-on software development role. You will be collaborating with teams firmwide to develop solutions.\nYou’ll support the development and maintenance of data pipelines on the Databricks Lakehouse platform using the medallion architecture (Bronze/Silver/Gold). You will work under the guidance of senior engineers to ingest, transform, and validate data, growing your skills across the modern data stack.\nKey Responsibilities\nAssist in building and maintaining ingestion pipelines that land raw data into the Bronze layer.\nSupport Silver layer transformations under guidance: cleansing, deduplication, and schema enforcement.\nWrite SQL and PySpark for defined transformation tasks.\nRun and monitor scheduled jobs; help investigate and resolve pipeline failures.\nDocument pipeline logic, transformations, and fixes.\nParticipate in code reviews as a reviewer-in-training and incorporate feedback on your own work.\nLearn team standards for version control, testing, and deployment.\nRequired Qualifications\n0-2 years of experience in data engineering, analytics, or a related technical role (internships and academic projects count).\nFoundational SQL skills (joins, aggregations, filtering).\n Python proficiency with basic OOPS knowledge .\nUnderstanding of core data concepts (tables, schemas, relational data).\nWillingness to learn Databricks, Spark, and cloud technologies.\nFamiliarity with Git or a demonstrated ability to learn version control quickly.\nPreferred / Nice-to-Have\nExposure to Databricks, Apache Spark, or PySpark (coursework or hands-on).\nAwareness of the medallion architecture and Delta Lake basics.\nExperience with any cloud platform (Azure, AWS, or GCP).\nRelevant coursework, bootcamp, or a Databricks certification (e.g., Data Engineer Associate).\nAny experience with data visualization or BI tools.\nCompetencies\nEagerness to learn and take feedback.\nAttention to detail and care for data accuracy.\nBasic problem-solving and logical thinking.\nCommunicate issues across teams\nQualifications\nBachelor's degree in Computer Science, Engineering, Information Systems, or related field. Master's degree preferred.\nProven experience in data engineering, software development, or related roles.\nProficiency in programming languages commonly used in data engineering (e.g., Python, Scala, etc.).\nStrong knowledge of database systems, data modeling techniques, and SQL proficiency.\nProficiency with ETL tools commonly used in data engineering (e.g., SSIS, Databricks, Azure Data Factory).\nExperience with big data technologies and frameworks (e.g., Spark, Kafka, etc.).\nFamiliarity with cloud platforms and services (e.g., Azure).\nExcellent problem-solving skills and attention to detail.\nEffective communication and collaboration skills in a team-oriented environment.\nAbility to adapt to evolving technologies and business requirements\nThe expected base salary ranges from $88,000 - $115,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, including Medical, Dental and 401K plans, successful candidates are also eligible to receive a discretionary bonus.\nOther requirements\nMizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process.\nCompany Overview\nMizuho Financial Group, Inc. is the 15th largest bank in the world as measured by total assets of ~$2 trillion. Mizuho's 60,000 employees worldwide offer comprehensive financial services to clients in 35 countries and 800 offices throughout the Americas, EMEA and Asia. Mizuho Americas is a leading provider of corporate and investment banking services to clients in the US, Canada, and Latin America. Through its acquisition of Greenhill, Mizuho provides M&A, restructuring and private capital advisory capabilities across Americas, Europe and Asia. Mizuho Americas employs approximately 3,500 professionals, and its capabilities span corporate and investment banking, capital markets, equity and fixed income sales & trading, derivatives, FX, custody and research. Visit www.mizuhoamericas.com.\nMizuho Americas offers a competitive total rewards package.\nWe are an EEO/AA Employer - M/F/Disability/Veteran.\nWe participate in the E-Verify program.\nWe maintain a drug-free workplace and reserve the right to require pre- and post-hire drug testing as permitted by applicable law.","description_format":"text","description_chars":5998,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-26T00:35:42Z"}],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.593,"p_room":0.9,"age_days":6,"expected_fill_days":13,"reasons":["conf:7","stale_co","velocity","win:mid","comp:junior,brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":115000,"is_top_pay":false},"html_url":"https://alion.io/job/mizuho-financial-group-data-engineer","json_url":"https://alion.io/job/mizuho-financial-group-data-engineer.json","meta":{"generated_at":"2026-10-01T16:30:31Z","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":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-02T00:00:00Z"}}}