# Mid Data Engineer at Encora

Mid Data Engineer at Encora in Costa Rica. Hybrid. Posted November 3, 2026.

- Company: Encora
- Location: Costa Rica
- Workplace: Hybrid
- Experience: 5+ years
- Posted: 2026-11-03
- Apply: https://job-boards.greenhouse.io/encora10/jobs/5283062007
- Source: https://jobmagic.ai/jobs/mid-data-engineer-encora-021dd1

## Requirements

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 5+ years of hands-on experience in Data Engineering.
- Strong hands-on experience with Snowflake architecture, including virtual warehouses, Snowpipe, Streams & Tasks, Time Travel, and performance optimization.
- 3+ years of hands-on experience with MongoDB, including data modeling, indexing, aggregation pipelines, and performance tuning.
- Advanced SQL and Python skills, including experience with data manipulation and scripting.
- Strong knowledge of ETL/ELT design patterns, batch and incremental loads, CDC, error handling, and retries.
- Experience with dbt and data integration tools such as Airflow, Informatica, Talend, or Fivetran.
- Knowledge of dimensional modeling, data warehousing, data lakes/lakehouses, governance, metadata, and lineage.
- Experience with pipeline monitoring, observability, alerting, and production incident management.
- Familiarity with CI/CD, Git, infrastructure-as-code, and enterprise security controls such as RBAC, masking, and encryption.

## Description

**Job Title:** Mid Data Engineer

**Key Skills:** Snowflake, MongoDB, SQL, Python, dbt, ETL/ELT, Data Modeling, Data Warehousing, CI/CD, Data Observability, Power BI, Tableau, AI-Assisted Development

**Experience:** 5+ YOE

**Location:** Costa Rica

**Mode:** Hybrid

We at Coforge are hiring Mid Data Engineer (#006fu00000QeELXAA3-11) with the following skill set.

**Key Responsibilities**

- Design and maintain scalable ETL/ELT pipelines integrating data from APIs, databases, event logs, and AI development platforms into Snowflake.

- Develop and optimize Snowflake data models and MongoDB structures, ensuring performance, scalability, and cost efficiency.

- Implement data quality checks, observability, lineage tracking, monitoring, and security controls across data pipelines and databases.

- Automate deployments through CI/CD and infrastructure-as-code while collaborating with analysts, BI developers, and product teams to deliver reliable data solutions.

**Required Skills & Qualifications**

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

- 5+ years of hands-on experience in Data Engineering.

- Strong hands-on experience with Snowflake architecture, including virtual warehouses, Snowpipe, Streams & Tasks, Time Travel, and performance optimization.

- 3+ years of hands-on experience with MongoDB, including data modeling, indexing, aggregation pipelines, and performance tuning.

- Advanced SQL and Python skills, including experience with data manipulation and scripting.

- Strong knowledge of ETL/ELT design patterns, batch and incremental loads, CDC, error handling, and retries.

- Experience with dbt and data integration tools such as Airflow, Informatica, Talend, or Fivetran.

- Knowledge of dimensional modeling, data warehousing, data lakes/lakehouses, governance, metadata, and lineage.

- Experience with pipeline monitoring, observability, alerting, and production incident management.

- Familiarity with CI/CD, Git, infrastructure-as-code, and enterprise security controls such as RBAC, masking, and encryption.

**Preferred Skills:**

- Experience with Snowflake Snowpark or Cortex and SnowPro certification.

- MongoDB or Snowflake certifications.

- Familiarity with DevOps tools such as Jenkins, SonarQube, GitHub/GitLab, and Jira.

- Knowledge of DORA metrics, DevOps practices, and engineering performance metrics.

- Exposure to AI/ML data preparation or AI-assistant usage analytics.

- Experience with Power BI or Tableau.

**Posted On:** 3-11-2026

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.