{"id":1583442,"url":"https://alion.io/job/transperfect-games-data-engineer-santo-domingo","title":"Data Engineer (Santo Domingo)","company":{"id":2034775,"name":"TGS","domain":"tgs.com","url":"https://alion.io/company/tgs-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"C","score":68,"open_postings":352,"ghost_share":0.537,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santo Domingo, Dominican Republic"],"countries":["DO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":123000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":782},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ASP.NET Core","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Dapper","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flyway","optional":false},{"name":"Git","optional":false},{"name":"Liquibase","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Java","optional":true},{"name":"PowerShell","optional":true},{"name":"Python","optional":true},{"name":"SSIS","optional":true}],"status":"live","first_seen_at":"2026-09-24T18:57:29Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-13T13:23:18Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":18},"description":"We're hiring a Data Engineer to own the data layer across our product portfolio. This is a database-first role and a deliberately broad one: you'll write and optimize the T-SQL that our applications run on, design the schema new features are built against, and keep the pipelines that move data from ingestion through processing to reporting correct, fast, and auditable.\nWe're not hiring for a single project. You'll move between products and problem domains - real-time event ingestion, transactional processing, reporting and analytics, historical migrations - so we're looking for someone adaptable who gets productive in an unfamiliar schema quickly and is comfortable owning more than one system at a time.\nYou'll work across multiple database instances - development, staging, and production - and own the packaging and deployment path between them, so that what's checked into source control is provably what's running. Correctness is not negotiable: the queries you write decide what our applications return and what our reports say. You'll partner closely with the API and frontend engineers who consume your procedures, and you'll be the person who answers \"why does this number look wrong?\"\nTech Stack\nDatabase: Azure SQL, T-SQL, stored procedures, table-valued parameters (TVPs), user-defined functions, temp-table staging patterns, query plan analysis\n\nPackaging & Deployment: SQL Server Database Projects (.sqlproj / SSDT), SqlPackage and DACPAC publishing, schema compare and drift detection, versioned migration scripts, multi-instance (dev / staging / prod) deployment\n\nData Movement & Analytics: Azure Storage Queues, Azure Table Storage, Azure Blob Storage, Azure Functions, queue drainer services, bulk upsert/apply patterns, Microsoft Fabric (Lakehouse / Warehouse / Data Factory pipelines / Power BI semantic models), CSV/Excel export generation\n\nConsuming Layers: ASP.NET Core (.NET 8) with Dapper, C# - enough to read and reason about how your procedures are called\n\nInfrastructure: Azure (SQL Database, Storage, Key Vault, Application Insights), Azure DevOps Pipelines, sqlcmd / Azure Data Studio / SSMS, Entra ID authentication\n\nResponsibilities\nDesign, write, and optimize T-SQL stored procedures for real-time ingestion, transactional processing, reporting, and application data access\n\nOwn the schema for large relational databases (100+ tables) - tables, indexes, constraints, TVPs, and migration scripts\n\nPackage and deploy database changes across multiple instances using SQL Database Projects and SqlPackage/DACPAC, and detect and resolve schema drift between environments\n\nVerify data integrity as a first-class deliverable - enforce and validate keys, constraints, and referential integrity; write the checks that catch orphaned, duplicated, and contradictory rows before they reach production consumers\n\nBuild automated data-integrity and reconciliation checks that run continuously, not just when someone reports a problem\n\nDiagnose and fix query performance problems: execution plans, missing indexes, correlated subqueries, unbounded scans, and timeouts at production volume\n\nBuild and maintain data pipelines that move high-volume event data from ingestion queues into processed, queryable, reportable records\n\nWrite reconciliation queries that prove downstream output ties back to source data - and investigate when it doesn't\n\nHandle historical data migrations, backfills, and legacy-to-current data reconciliation\n\nKeep paged and non-paged (export) variants of reporting procedures in lockstep so the on-screen grid and the exported file never disagree\n\nModel and surface data in Microsoft Fabric for analytics and reporting workloads as we build that capability out\n\nPartner with API engineers on contract changes - parameter shape, result sets, and DTO mapping\n\nContribute to CI/CD for database deployments and keep checked-in objects aligned with what's actually deployed\n\nPick up unfamiliar schemas and legacy data models across different products and get to a working understanding fast\n\nWrite reusable, well-documented SQL that the next engineer can safely change\n\nRequired Qualifications\n3+ years professional experience in a database-focused engineering role (Data Engineer, Database Developer, or similar)\n\nStrong T-SQL - stored procedures, CTEs, window functions, temp tables, TVPs, dynamic SQL where it's warranted\n\nDemonstrable query optimization skills: reading execution plans, index design, and diagnosing slow queries at volume\n\nRelational schema design - normalization, keys, constraints, soft-delete and status-flag patterns, slowly-changing/point-in-time data\n\nExperience with SQL Server or Azure SQL in production\n\nHands-on data integrity work - constraint and referential-integrity design, duplicate and orphan detection, and writing validation queries that prove a dataset is sound\n\nExperience working across multiple database environments and promoting schema changes between them\n\nExperience with database packaging/deployment tooling - SqlPackage, DACPAC, SSDT, Flyway, Liquibase, or equivalent\n\nExperience building or maintaining data pipelines / ETL processes\n\nComfortable working with large datasets and reasoning about correctness, not just output\n\nAdaptable across products and domains - you've worked on more than one system and can context-switch without losing rigor\n\nVersion control discipline for database objects (Git, migration scripts, or database projects)\n\nAble to read enough C# or another application language to understand how your data layer is consumed\n\nPreferred Qualifications\nMicrosoft Fabric experience - Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, OneLake, or Power BI semantic models\n\nSQL Server Database Projects (SSDT / .sqlproj) and SqlPackage/DACPAC publishing in a CI/CD pipeline\n\nAzure SQL specifics - DTU/vCore tuning, Query Store, elastic pools, managed identity authentication\n\nAzure Storage - Queues, Tables, and Blobs as part of a data pipeline\n\nExperience in domains where output must reconcile exactly and a wrong number has real consequences\n\nHigh-volume event or transactional data processing experience\n\nPoint-in-time / temporal data modeling (values and configuration that must be resolved as of a historical timestamp)\n\nAzure Data Factory, SSIS, or equivalent orchestration tooling\n\nDapper or micro-ORM data access patterns\n\nAzure DevOps (Pipelines, Boards, Repos)\n\nPython or PowerShell for data tooling and one-off analysis\n\nWhat We Value\nClear, direct communication - say what you mean, flag problems early, ask questions when something is unclear\n\nVerifying against the real object - read the deployed procedure, run the query, check the plan; don't trust documentation or assumptions about what the data does, and don't assume one instance matches another\n\nFixing problems at the source instead of working around dirty data downstream\n\nChallenging risky or incorrect decisions instead of silently going along\n\nTreating data output as something that must be provably correct, with a query that demonstrates it\n\nCuriosity across the whole portfolio - willingness to learn a new domain rather than staying in one comfortable corner\n\nPragmatism over over-engineering - solve the problem at hand without gold-plating\n\nIn order to apply, please submit your CV in English","description_format":"text","description_chars":7299,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Data Providers & Datasets","Oil & Gas"],"lifecycle":[{"event":"open","at":"2026-10-01T13:48:31Z"}],"visa":[],"liveness":{"score":41,"band":"fade","label":"Fading","p_open":1,"p_active":0.541,"p_room":0.75,"age_days":18,"expected_fill_days":24,"reasons":["conf:2","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/transperfect-games-data-engineer-santo-domingo","json_url":"https://alion.io/job/transperfect-games-data-engineer-santo-domingo.json","meta":{"generated_at":"2026-10-13T16:20:23Z","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":24840,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":2034775},"rest":"https://alion.io/mcp/rest/get_company?id=2034775"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftransperfect-games-data-engineer-santo-domingo"},{"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%2Ftransperfect-games-data-engineer-santo-domingo"},{"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%2Ftransperfect-games-data-engineer-santo-domingo"},{"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/transperfect-games-data-engineer-santo-domingo\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftransperfect-games-data-engineer-santo-domingo"}]}