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EncoraMid Data Engineer
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Before you apply
LocationHeredia, Costa Rica
Work modehybrid
Typefull-time
SeniorityMid
DepartmentCSA Billable
Company size10,000+ people
PostedOct 22, 2026 · 2w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
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
Hired based solely on skills; no discrimination based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality
Skills
Snowflake
MongoDB
dbt
ETL
ELT
Data Modeling
SQL
CI/CD
Data Observability
Power BI
Tableau
AI-Assisted Development
Git
Infrastructure as Code
GitHub Copilot
Codex
Claude Code
Cursor
Jenkins
SonarQube
Jira
About the role
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
Legal
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.