Mid Data Engineer
- LocationCosta Rica
- Work typeHybrid
- Posted3 November 2026
- SourceEncora's careers page (Greenhouse)
Live checkFirst seen 4 days ago; still listed on Encora's careers page 6 h ago.
Posted beforeRoleFinder first saw this role on 22 October 2026, 14 days before this listing. Reposts are often real openings that took long to fill.
Moves fastWhen Encora takes a role down early, it is usually about 6 days after posting. Apply soon.
At a glance
- Experience5+ years
- EducationBachelor's degree
- Skills and toolsSnowflake, MongoDB, SQL, Python, dbt, CI/CD, Power BI, Tableau
Read from the ad by RoleFinder, with rules and an AI reading; the description is the source.
About the role
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
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Design and maintain scalable ETL/ELT pipelines integrating data from APIs, databases, event logs, and AI development platforms into Snowflake.
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Develop and optimize Snowflake data models and MongoDB structures, ensuring performance, scalability, and cost efficiency.
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Implement data quality checks, observability, lineage tracking, monitoring, and security controls across data pipelines and databases.
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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
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
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5+ years of hands-on experience in Data Engineering.
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Strong hands-on experience with Snowflake architecture, including virtual warehouses, Snowpipe, Streams & Tasks, Time Travel, and performance optimization.
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3+ years of hands-on experience with MongoDB, including data modeling, indexing, aggregation pipelines, and performance tuning.
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Advanced SQL and Python skills, including experience with data manipulation and scripting.
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Strong knowledge of ETL/ELT design patterns, batch and incremental loads, CDC, error handling, and retries.
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Experience with dbt and data integration tools such as Airflow, Informatica, Talend, or Fivetran.
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Knowledge of dimensional modeling, data warehousing, data lakes/lakehouses, governance, metadata, and lineage.
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Experience with pipeline monitoring, observability, alerting, and production incident management.
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Familiarity with CI/CD, Git, infrastructure-as-code, and enterprise security controls such as RBAC, masking, and encryption.
Preferred Skills:
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Experience with Snowflake Snowpark or Cortex and SnowPro certification.
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MongoDB or Snowflake certifications.
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Familiarity with DevOps tools such as Jenkins, SonarQube, GitHub/GitLab, and Jira.
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Knowledge of DORA metrics, DevOps practices, and engineering performance metrics.
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Exposure to AI/ML data preparation or AI-assistant usage analytics.
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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.
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