{"id":3882912,"url":"https://alion.io/job/mt-bank-lead-data-engineer","title":"Lead Data Engineer","company":{"id":4312,"name":"M&T Bank","domain":"mtb.com","url":"https://alion.io/company/mtb","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":84,"open_postings":70,"ghost_share":0,"stale_share":0.643,"repost_share":0.014,"time_to_fill_p50_days":35,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Buffalo, United States","Wilmington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":116400,"max":194000,"currency":"USD","period":"year","gross":null,"usd_annual":194000},"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-06T18:41:36Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T05:32:57Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description Overview:\nDesigns, develops, implements and operates highly complex data pipelines, data products and data management solutions across modern cloud, warehouse and lakehouse platforms. Applies strong software-engineering, data-modeling and distributed-processing practices to deliver solutions that are scalable, secure, resilient, observable and cost efficient. Independently resolves ambiguous engineering problems, contributes to technical direction and reusable standards, and mentors other engineers while partnering across product, architecture, governance, cybersecurity and platform teams.\nPrimary Responsibilities:\nLead the detailed engineering design, development, testing, deployment and production support of complex data pipelines and reusable data products.\nDevelop maintainable data-processing and transformation solutions using advanced SQL and programming languages such as Python.\nEngineer solutions using Snowflake, Databricks, dbt and comparable modern data platforms; select appropriate warehouse, lakehouse or hybrid patterns based on workload needs.\nDesign analytical storage solutions using relational databases, cloud object storage, columnar formats and open table formats such as Apache Iceberg.\nImplement batch, micro-batch, change data capture (CDC), event-driven and streaming patterns using technologies such as Apache Kafka or comparable platforms.\nIntegrate data from relational and mainframe systems, APIs, event streams, SaaS platforms, files and object storage with appropriate security and operational controls.\nApply normalized, dimensional, denormalized and data-product-oriented modeling approaches based on access, performance and lifecycle requirements.\nOptimize Snowflake, Databricks/Spark and SQL workloads for performance, scalability, reliability and cost, including partitioning, parallelism, data movement and compute utilization.\nBuild data quality, reconciliation, metadata, lineage, observability, alerting and service-level controls into production solutions.\nDesign for restartability, idempotency, retry, replay, recovery and failure isolation; lead diagnosis and root-cause analysis for complex production incidents.\nApply source control, peer review, automated testing, CI/CD, environment promotion and infrastructure/configuration automation to data engineering delivery.\nCreate reusable libraries, templates, implementation patterns and reference solutions that improve consistency and engineering velocity.\nEvaluate design alternatives and clearly document tradeoffs involving security, privacy, resiliency, maintainability, performance, cost and operational complexity.\nContribute to technical standards, identify technical debt and recommend pragmatic modernization or remediation approaches.\nMentor engineers through design reviews, code reviews, pairing and technical problem solving; influence engineering practices across the team and adjacent teams.\nPartner with product owners, architects, governance, cybersecurity, platform and consuming teams to translate business and data requirements into scalable solutions.\nDevelop technical epics and stories, estimate complex work, surface dependencies and risks, and support iterative delivery through Agile practices.\nProvide technical leadership and mentorship without direct people-management responsibility.\nUnderstand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite.\nDesign, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis. Identify risk-related issues requiring escalation to management.\nMaintain internal control standards, including timely implementation of internal and external audit points and issues raised by external regulators, as applicable.\nPromote an environment that supports belonging and reflects the Company brand.\nComplete other related duties as assigned. \nEducation and Experience Required:\nAssociate’s degree and a minimum of 7 years’ systems analysis and/or application development work experience or Bachelor's degree and a minimum of 5 years' systems analysis and/or application development work experience. In lieu of a degree, a combined minimum of 9 year’s education and/or relevant work experience, including a minimum of 5 years’ system analysis and/or application development work experience.\nExpert proficiency in a minimum of 1 relevant programming language and professional proficiency in a minimum of 1 additional relevant programming language.\nAdvanced SQL skills, including complex transformations, analytical queries and workload optimization.\nExperience with Python or another general-purpose programming language used for production data engineering.\nHands-on engineering experience with Snowflake and/or Databricks.\nExperience with modern ELT/ETL and transformation practices, including dbt or a comparable framework.\nExperience with data modeling for warehouse, lakehouse and data-product use cases.\nExperience with distributed data processing using Apache Spark/PySpark or a comparable framework.\nExperience with Git-based development, automated testing, code review and CI/CD.\nExperience with batch and streaming architectures, orchestration and production operations.\nKnowledge of cloud computing and object-storage concepts, preferably in Microsoft Azure.\nExperience working with structured and semi-structured data using formats such as Parquet, JSON, Avro, CSV and XML.\nDemonstrated ability to independently design and deliver complex data solutions spanning ingestion, processing, persistence, quality and consumption.\nDemonstrated ability to troubleshoot complex distributed-processing, data-quality and production reliability issues.\nDemonstrated ability to balance performance, cost, scalability, resiliency, security and maintainability in technical decisions.\nDemonstrated ability to review and improve technical designs and code developed by other engineers.\nDemonstrated ability to communicate complex designs and tradeoffs to engineering, architecture, product and business audiences.\nEducation and Experience Preferred:\nAdvanced production experience with Snowflake, Databricks, Apache Spark/PySpark and dbt.\nExperience implementing Apache Iceberg or another open table format, including schema evolution, partitioning, snapshots and table maintenance.\nExperience with Apache Kafka, CDC and event-driven architectures.\nExperience with orchestration technologies such as Apache Airflow, Azure Data Factory, Databricks Workflows or dbt orchestration.\nExperience with Infrastructure as Code and configuration automation, including Terraform or comparable tooling.\nExperience with data catalogs, metadata management, lineage, data observability and automated data-quality frameworks.\nExperience building governed enterprise data products or domain-oriented data solutions.\nExperience working in a highly regulated environment such as financial services.\nMaster’s degree in Computer Science, Engineering, Data Engineering, Information Systems or a related technical field.\nM&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $116,400.00 - $194,000.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.Location\nBuffalo, New York, United States of America","description_format":"text","description_chars":7416,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"associate","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors"],"lifecycle":[{"event":"open","at":"2026-11-06T18:41:36Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 67 · green card filings: 29","filings_12m":67,"filings_prev_12m":118,"green_card_filings_12m":29,"median_offered_wage_usd":132031,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+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":7}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":35,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-07T05:47:08Z"},"pay":{"stated_usd_annual":194000,"is_top_pay":true},"html_url":"https://alion.io/job/mt-bank-lead-data-engineer","json_url":"https://alion.io/job/mt-bank-lead-data-engineer.json","meta":{"generated_at":"2026-11-07T12:14:47Z","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":13465,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":4312},"rest":"https://alion.io/mcp/rest/get_company?id=4312"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmt-bank-lead-data-engineer"},{"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%2Fmt-bank-lead-data-engineer"},{"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%2Fmt-bank-lead-data-engineer"},{"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/mt-bank-lead-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmt-bank-lead-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3882912}},{"tool":"search_jobs","arguments":{"company":"mtb.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3882912},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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