{"id":3882913,"url":"https://alion.io/job/mt-bank-senior-data-engineer","title":"Senior 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":"senior","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":97100,"max":161800,"currency":"USD","period":"year","gross":null,"usd_annual":161800},"salary_estimate":null,"experience_years_min":7,"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":"Linux","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},{"name":"Unix","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":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description Overview:\nDesigns, develops, tests, deploys and supports complex data pipelines, data products and data management solutions across modern cloud, warehouse and lakehouse platforms. Applies software-engineering, data-modeling and distributed-processing practices to deliver secure, reliable, maintainable and cost-conscious solutions. Works independently on defined outcomes, collaborates across technology and data teams, and contributes to reusable engineering patterns and continuous improvement.\nPrimary Responsibilities:\nDesign, develop, test, deploy and support complex production data pipelines and data products with guidance on broader architecture where needed.\nDevelop maintainable data-processing and transformation solutions using SQL and programming languages such as Python.\nImplement solutions using Snowflake, Databricks, dbt and comparable modern data platforms and frameworks.\nBuild data solutions across relational databases, cloud object storage, warehouse and lakehouse architectures, including open table formats such as Apache Iceberg where applicable.\nDevelop batch, micro-batch, CDC and streaming pipelines using approved enterprise patterns and technologies such as Apache Kafka or comparable platforms.\nIntegrate data from relational and mainframe systems, APIs, event streams, SaaS platforms, files and object storage.\nApply normalized, dimensional and denormalized data-modeling techniques appropriate to analytical and data-product requirements.\nTune SQL, Snowflake and Databricks/Spark workloads for performance and cost using appropriate partitioning, parallelism and compute practices.\nImplement data quality, reconciliation, metadata, lineage, logging, monitoring and alerting controls.\nBuild pipelines that support error handling, restartability, idempotency, retry, replay and recovery using established patterns.\nParticipate in production support, incident resolution and root-cause analysis; implement corrective actions to prevent recurrence.\nUse Git, peer review, automated testing, CI/CD and environment promotion practices for data engineering delivery.\nDevelop and reuse shared components, templates and patterns; contribute improvements to engineering standards and documentation.\nParticipate in technical design and code reviews, identify implementation risks and escalate architectural concerns appropriately.\nPartner with product owners, architects, governance, cybersecurity, platform and consuming teams to clarify requirements and deliver supported solutions.\nContribute to technical epics and stories, estimate assigned work, identify dependencies and deliver through Agile practices.\nProvide day-to-day technical assistance and informal mentoring to less-experienced engineers. This role does not have 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 5 years’ systems analysis and/ or application development work experience or Bachelor's degree and a minimum of 3 years’ systems analysis and/ or application development work experience. In lieu of degree, a combined minimum of 7 years’ education and/or relevant work experience, including a minimum of 3 years’ systems analysis and/or application development work experience\nStrong SQL skills, including development of complex transformations and analytical queries.\nExperience with Python or another general-purpose programming language used for data engineering.\nHands-on experience with Snowflake, Databricks or a comparable cloud data platform.\nExperience with ELT/ETL and transformation practices, including dbt or a comparable framework.\nExperience with relational data stores and warehouse or lakehouse data-modeling concepts.\nExperience with distributed processing using Apache Spark/PySpark or a comparable framework.\nExperience with Git-based source control, automated testing and CI/CD fundamentals.\nExperience with batch data processing and working knowledge of streaming or event-driven concepts.\nKnowledge of cloud and object-storage concepts, preferably in Microsoft Azure.\nExperience working with structured and semi-structured data using formats such as Parquet, JSON, CSV, Avro and XML.\nExperience with Linux/Unix environments and scripting.\nDemonstrated ability to independently deliver complex data pipeline components and data products within an established architecture.\nDemonstrated ability to troubleshoot data-processing, data-quality and production issues across multiple technologies.\nDemonstrated ability to apply established engineering patterns while identifying opportunities for improvement.\nDemonstrated ability to communicate implementation choices, risks and dependencies to technical and product partners.\nDemonstrated ability to manage assigned work from design through production support with limited day-to-day supervision.\nEducation and Experience Preferred:\nProduction experience with Snowflake, Databricks, Apache Spark/PySpark and dbt.\nExperience with Apache Iceberg or another open table format.\nExperience with Apache Kafka, CDC or event-driven data processing.\nExperience with orchestration technologies such as Apache Airflow, Azure Data Factory, Databricks Workflows or dbt orchestration.\nExperience with Terraform or another Infrastructure as Code technology.\nExperience with data catalogs, metadata, lineage, observability or automated data-quality tooling.\nExperience delivering governed enterprise data products.\nExperience working in a regulated environment such as financial services.\nM&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $97,100.00 - $161,800.00 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":6449,"description_truncated":false,"requirements":{"experience_years_min":7,"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":161800,"is_top_pay":true},"html_url":"https://alion.io/job/mt-bank-senior-data-engineer","json_url":"https://alion.io/job/mt-bank-senior-data-engineer.json","meta":{"generated_at":"2026-11-07T19:24:18Z","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":30102,"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-senior-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-senior-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-senior-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-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmt-bank-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3882913}},{"tool":"search_jobs","arguments":{"company":"mtb.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3882913},"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. Docs: https://alion.io/developers"}}