{"id":1115332,"url":"https://alion.io/job/coderoad-senior-data-engineer-3","title":"Senior Data Engineer","company":{"id":673115,"name":"CodeRoad","domain":"coderoad.com","url":"https://alion.io/company/coderoad","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":70,"open_postings":24,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["AR","BR","MX","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC","PM","SX"],"hiring_countries_total":45,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":115000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1839},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Edge AI","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Dagster","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"Prefect","optional":true},{"name":"Qdrant","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-22T13:49:51Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-06T21:43:10Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":13},"description":"Senior Data Engineer\nLocation/Region\nLatin America | 100% Remote\nAbout CodeRoad\nCodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape.\nAbout the Role\nAs a Senior Data Engineer at CodeRoad, you will serve as the technical backbone responsible for architecting and optimizing an agent-ready data foundation and semantic layer. You will model complex analytical views, optimize low-latency query performance for downstream LLM retrieval, and anchor robust access control and data privacy policies across modern database environments.\nThis role is critical to bridging complex operational data systems with cutting-edge AI frameworks, ensuring that downstream AI agents and analytical engines access accurate, highly secure, and optimized data in real time.\nKey Responsibilities\nDesign and implement modern semantic models (facts, dimensions, and metrics stores using tools like dbt) to abstract complex operational databases for AI querying and analytical consumption.\n\nBuild curated, high-performance analytical views and production ELT/ETL pipelines that streamline data retrieval, enhance freshness, and minimize redundant database queries.\n\nOptimize database query performance, indexing, and schema definitions for low-latency analytical workloads through systematic query log analysis.\n\nLead the implementation of granular data governance frameworks, including Role-Based Access Control (RBAC), Row-Level Security (RLS), and dynamic data masking for PII protection.\n\nEstablish comprehensive data quality, pipeline monitoring, and anonymization standards across all analytical layers.\n\nCollaborate with cross-functional AI engineering teams to align data structures with the operational requirements of RAG architectures and Agentic AI workflows.\n\nRequirements\n4+ years of dedicated data engineering experience with strong, production-grade command of SQL (Azure SQL, PostgreSQL, or modern cloud data warehouses).\n\nSolid foundation in dimensional modeling (Kimball methodology) and semantic layer / metrics store architecture (e.g., dbt).\n\nProven production experience building and maintaining resilient ETL/ELT data pipelines.\n\nDemonstrated experience implementing database security policies, granular role-based permissions, and dynamic data masking / PII protections.\n\nHands-on expertise tuning complex queries for low-latency analytical workloads.\n\nPractical experience working with RAG Applications and Agentic AI Frameworks.\n\nSoft Skills: Strong ownership mindset, proactive problem-solving ability, and a highly collaborative approach within nearshore team environments.\n\nLanguage: Advanced English fluency (written and spoken) is strictly required.\n\nNice to Have\nExperience with orchestration platforms such as Apache Airflow, Prefect, or Dagster.\n\nExposure to vector databases (e.g., pgvector, Pinecone, Qdrant) used in generative AI stacks.\n\nFamiliarity with streaming or event-driven technologies (e.g., Apache Kafka, AWS Kinesis).\n\nHands-on experience with cloud infrastructure as code (Terraform) or cloud-native CI/CD automation.\n\nWhat You’ll Love\n100% Remote culture allowing you to work from anywhere in Latin America.\n\nHolidays off aligned with national and company calendars.\n\nPaid Time Off (PTO) to ensure work-life balance.\n\nHealth insurance assistance coverage.\n\nCompetitive USD compensation paid directly to you.\n\nGrowth opportunities within high-impact, modern tech projects and multi-client ecosystems.","description_format":"text","description_chars":3676,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Growth opportunities","Health insurance"],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"region"},{"name":"Brazil","iso":"BR","kind":"region"},{"name":"Colombia","iso":null,"kind":"region"},{"name":"Mexico","iso":"MX","kind":"region"},{"name":"Anguilla","iso":null,"kind":"region"},{"name":"Antigua and 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