{"id":178975,"url":"https://alion.io/job/t-mobile-sr-data-engineer","title":"Sr. Data Engineer","company":{"id":19639,"name":"T-Mobile","domain":"t-mobile.com","url":"https://alion.io/company/t-mobile-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":98000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"MS SQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Unity","optional":false},{"name":"Claude","optional":true},{"name":"Copilot","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-08-31T06:25:33Z","employer_posted_date":null,"last_verified_at":"2026-08-31T06:25:33Z","board_verified":false,"closed_at":null,"days_open":48,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":48},"description":"The Data Engineer (Level III) designs, builds, and operates the data pipelines and lakehouse data products that power P& SC intelligence across device supply chain, reverse logistics, procurement, network supply chain, and real-time control tower capabilities. Operating within a squad focused on a specific SC domain or cross-cutting platform function, the Data Engineer is a hands-on technical contributor who builds to production quality, owns pipeline reliability and KTLO, and contributes to the engineering standard of the team.\nResponsibilities:\nDesign and build production-grade data pipelines spanning source ingestion, bronze landing, silver transformation, and gold-layer data product delivery within the squad's domain scope.\nOwn pipeline KTLO (Keep the Lights On) for assigned data products, including monitoring, alerting, incident response, and ongoing reliability improvements.\nImplement data ingestion patterns for assigned source systems, including batch file ingestion, API-based ingestion, and event-driven streaming (Kafka, Azure Event Hub) depending on squad scope.\nApply medallion architecture (bronze, silver, gold) and Fabric IQ certification standards consistently across all data product builds.\nCollaborate with System Analysts to implement field-level transformations, business rule logic, and data quality checks as specified in product requirements documentation.\nParticipate in and contribute to pipeline design reviews, ensuring solutions align with the organisation's Databricks and Fabric engineering standards.\nSupport the migration and deprecation of legacy platforms including SCOpsBI SQL Server and SAP boundary systems, following the organisation's extract, validate, rebuild, cutover, and decommission pattern.\nWrite and maintain comprehensive pipeline documentation including data lineage, transformation logic, SLA definitions, and dependency maps.\nContribute to the organisation's DevOps and engineering reliability practices, including CI/CD pipeline setup, testing frameworks, and incident runbooks.\nSupport and collaborate with junior data engineers within the squad, sharing knowledge and providing guidance on day-to-day engineering tasks.\nRequirements:\n5-8 years of data engineering experience with a track record of delivering production-grade data pipelines in enterprise environments.\nStrong experience with Python, PySpark, Spark SQL, and T-SQL for pipeline development and transformation logic.\nStrong Proficiency in Azure Data Factory for building and maintaining ELT/ETL pipelines, including parameterisation, triggers, linked services, and error handling\nHands-on experience with Azure Databricks, including Delta Lake, Unity Catalogue, and workflow orchestration.\nHands-on experience with dbt (Data Build Tool), writing models, tests, sources, and documentation within an established project structure.\nSolid SQL skills for data validation, transformation logic, and ad-hoc source system analysis.\nExpert-level data modelling skills across 3NF, Dimensional (Kimball), and Data Vault 2.0 patterns.\nStrong understanding of data quality frameworks, including implementing checks, alerting on anomalies, and maintaining SLA-compliant pipeline health.\nExperience with DevOps practices for data pipelines, including version control (Git), CI/CD, and automated testing.\nAgile or Scrum practitioner certification or equivalent.\nAbility to operate with moderate independence on complex technical problems, escalating appropriately and maintaining clear technical documentation.\nNice to Have:\nExperience with real-time streaming technologies including Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming.\nWorking experience with Snowflake table design, query performance tuning, views, stored procedures, and data loading patterns (Snowpipe, COPY INTO)\nExperience with enterprise batch scheduling and orchestration tools such as Control-M or Autosys is a plus.\nExperience with real-time streaming technologies including Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming.\nExperience with Microsoft Fabric or Azure Synapse Analytics; familiarity with Fabric IQ and OneLake is a plus.\nBackground in supply chain, reverse logistics, procurement, or network infrastructure data domains.\nExperience working within Agile delivery frameworks including PI planning, sprint-level technical governance, and cross-squad dependency management.\nFamiliarity with AI-assisted development tools such as GitHub Copilot or Claude, and experience integrating AI/ML-ready data preparation into ETL/ELT pipeline design.\nWorking knowledge of SOX and USGCI compliance requirements as they apply to enterprise data platform design and deployment.\nMicrosoft Azure certifications: DP-203 AZ-305 DP-900 or the Microsoft Fabric Analytics Engineer Associate.\nPython development skills beyond PySpark, including utility scripting and framework contributions.","description_format":"text","description_chars":4920,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-08-31T11:03:33Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 427 · green card filings: 130","filings_12m":427,"filings_prev_12m":487,"green_card_filings_12m":130,"median_offered_wage_usd":148667,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+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":51}],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.308,"p_room":0.28,"age_days":46,"expected_fill_days":8,"reasons":["seen:46","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/t-mobile-sr-data-engineer","json_url":"https://alion.io/job/t-mobile-sr-data-engineer.json","meta":{"generated_at":"2026-10-18T12:30:47Z","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":18477,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":19639},"rest":"https://alion.io/mcp/rest/get_company?id=19639"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ft-mobile-sr-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%2Ft-mobile-sr-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%2Ft-mobile-sr-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/t-mobile-sr-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ft-mobile-sr-data-engineer"}]}