{"id":2484856,"url":"https://alion.io/job/lean-solutions-group-where-talent-meets-technology-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":3775695,"name":"Lean Solutions Group","domain":"leangroup.com","url":"https://alion.io/company/leangroup-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Jobvite","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-27T05:46:45Z"}},"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":["Colombia"],"countries":["CO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":100000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2491},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Cortex","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Prometheus","optional":true}],"status":"closed","first_seen_at":"2026-10-14T00:02:50Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-21T22:16:08Z","board_verified":false,"closed_at":"2026-10-21T22:16:08Z","days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Description\nCompany Overview:\nGlobal Technology Services is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America, Philippines and the United States, contributing to cutting-edge developments in multiple industries.\nPosition Title: Senior Data Engineer.\nLocation: Remote-LATAM\nWe are hiring a part-time Data Engineer to maintain and extend our production dbt project on Snowflake, which integrates data from DealCloud, SourceScrub, People Data Labs, Tracxn, and proprietary feeds to power analytics, dashboards, and investment decision-making across the firm. This is a full-ownership role, not a support or junior position. You will own assigned model domains end-to-end, from design through production monitoring, working within a complex medallion-architecture project (600+ staging views, 168 intermediate models, 120+ mart models). The repo also includes AI powered models, both SQL (Snowflake Cortex) and Python, that call LLMs for tasks like entity tagging and enrichment.\nAveraging 20 hours per week, with potential to scale up during migrations or when new data sources are onboarded. Our team is in FTV's New York office Monday-Thursday, but we're open to this role being remote.\nWhat you will be doing:\nCore Data Engineering:\nBuild and maintain staging, intermediate, and mart models across the medallion architecture (Bronze → Silver → Gold)\n\nDesign and own cross-source entity resolution - ID and bridge logic for companies, contacts, and deals - not just consume existing spines\n\nMaintain and extend AI-powered tagging (Snowflake Cortex) - including prompt design for AI generated company fields and taxonomy consolidation\n\nOwn data quality through comprehensive testing - schema validation, row-count checks, nullability and uniqueness constraints\n\nOptimize query performance and manage materializations (views, tables, incremental models) for production workloads\n\nSource System Integration:\nMaintain source-system bridges and lookup tables for enum fields across DealCloud, SourceScrub, PDL, Tracxn, and other feeds\n\nAdapt models when upstream systems change field names, types, or structure\n\nKeep source YAML documentation current, lineage, freshness expectations, and schema notes\n\nMaintenance & Review:\nSupport ad-hoc requests from data team members\n\nReview and merge internal team pull requests; enforce naming conventions and architectural patterns\n\nTroubleshoot production incidents, debug failed runs, investigate data inconsistencies, coordinate fixes\n\nMonitor dbt Cloud jobs and catch incremental model or pipeline failures\n\nRequired Skills & Experience\n3+ years of data engineering experience in a production environment\n\nTechnical:\nExpert SQL, complex multi-stage CTEs, window functions, performance-optimized queries\n\ndbt expertise, models, tests, sources, macros, and materializations\n\nSnowflake or similar cloud data warehouse (BigQuery, Redshift, Databricks)\n\nDimensional modeling and medallion/layered architectures\n\nGit and GitHub workflows, branching strategies, and code review\n\nAutomated testing, SLA monitoring, and validation framework design\n\nNice to have:\nPython for data validation or transformation logic\n\ndbt macros and Jinja templating\n\nExperience with investment/financial data or alternative data providers \n\nSoft Skills:\nOwnership mentality, takes pride in data quality, not just tickets closed\n\nRigor and attention to detail, writes tests alongside models, documents work, cares about naming conventions\n\nCuriosity, investigates anomalies, digs into source schemas, improves documentation\n\nPragmatism, balances perfection with shipping; knows when to refactor vs. move forward\n\nComfortable working independently in a part-time, flexible-hours arrangement\n\nWhy you will love GTS:\nJoin a powerful tech workforce and help us change the world through technology\n\nProfessional development opportunities with international customers\n\nCollaborative work environment\n\nCareer path and mentorship programs that will lead to new levels.\n\nJoin GTS and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. GTS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.","description_format":"text","description_chars":4713,"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":["Professional development"],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"region"},{"name":"Brazil","iso":"BR","kind":"region"},{"name":"Colombia","iso":"CO","kind":"region"},{"name":"Mexico","iso":"MX","kind":"region"},{"name":"Anguilla","iso":"AI","kind":"region"},{"name":"Antigua and Barbuda","iso":"AG","kind":"region"},{"name":"Aruba","iso":"AW","kind":"region"},{"name":"Bahamas","iso":"BS","kind":"region"},{"name":"Barbados","iso":"BB","kind":"region"},{"name":"Belize","iso":"BZ","kind":"region"},{"name":"Bermuda","iso":"BM","kind":"region"},{"name":"Bolivia","iso":"BO","kind":"region"},{"name":"British 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