# Mid Data Engineer at Encora

Mid Data Engineer at Encora in Costa Rica. Hybrid. Posted October 22, 2026.

- Company: Encora
- Location: Costa Rica
- Workplace: Hybrid
- Posted: 2026-10-22
- Apply: https://job-boards.greenhouse.io/encora10/jobs/5271084007
- Source: https://jobmagic.ai/jobs/mid-data-engineer-encora-cbpqck

## Requirements

- 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.

## Description

**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.