Mid Data Engineer

Job Title: Mid Data Engineer Key Skills: Snowflake, MongoDB, dbt, ETL/ELT, Data Modeling, SQL, CI/CD, Data Observability, Power BI, Tableau, AI-Assisted Development Experience: Mid Level Location: San José, Costa Rica Mode: Hybrid – 2–3 days per week on-site We at Coforge are hiring Mid Data Engineer (#006fu00000QeELXAA3-11) with the following skill set. Key Responsibilities - Design, build, and operate scalable ETL/ELT pipelines that ingest AI Assistant, DevOps, API, database, event, and log data into Snowflake. - Build and maintain dbt data models, tests, and documentation while designing Snowflake staging, core, and mart layers and optimizing performance and cost. - Design and manage MongoDB collections, schemas, indexes, aggregation pipelines, and change streams, integrating MongoDB with the analytics layer. - Implement data observability, quality checks, lineage, security controls, monitoring, CI/CD, and production operations while partnering with analytics and product teams to deliver reliable data products. Required Skills & Qualifications - Hands-on experience designing and developing scalable ETL/ELT data pipelines. - Strong experience with Snowflake, including data modeling, dimensional/star schemas, query tuning, and performance optimization. - Hands-on experience with dbt for data modeling, testing, and documentation. - Experience working with MongoDB, including collections, schemas, indexes, aggregation pipelines, and change streams. - Experience integrating data from APIs, databases, event sources, logs, and DevOps platforms. - Experience with data visualization tools or libraries such as Power BI or Tableau. - Knowledge of data observability, quality validation, lineage tracking, monitoring, and alerting. - Experience with CI/CD, Git, infrastructure as code, and Dev/QA/Prod environments. - Knowledge of data security practices, including RBAC, masking, encryption, and audit controls. - Experience using generative AI coding assistants such as GitHub Copilot, Codex, Claude Code, or Cursor, with the ability to validate AI-generated outputs through rigorous testing. Preferred Skills: - Experience working with data generated by AI development assistants such as Cursor, Codex, Claude, Copilot, or Devin. - Familiarity with DevOps and engineering data sources such as Jenkins, SonarQube, Git, and Jira. - Experience supporting incident triage, root cause analysis, and runbook creation for data platforms. - Experience translating business and delivery requirements into data products, analytics, and dashboards. Posted On: 22-10-2026 At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.