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.